1646 Clustering Jobs - Page 19

Sapiens is on the lookout for a System Administrator to become a key player in our Bangalore team. If you're a seasoned System Administrator and ready to take your career to new heights with an established, globally successful company, this role could be the perfect fit. Location: Bangalore Working Model: Our flexible work arrangement combines both remote and in-office work, optimizing flexibility and productivity. What You’ll Do Working in the IT systems team you will be responsible for the support and maintenance of the Sapiens global IT infrastructure. Provide a high level of customer service. Ensure that tasks assigned to you in the ServiceNow and SCSM platform are completed within the agreed OLA and SLA’s. Proactively deal with tickets in the ServiceNow and SCSM platform. Implement new projects. What To Have For This Position Must have Skills: - Operating Systems Windows: Deploy, configure, implement, and administer a Window Server 2008 to Server 2019 environment. Experience of the following technologies: Active Directory (AD DS and Azure AD), DNS, DHCP, AD CS, WSUS, IIS, File and print server setup and administration, Microsoft System Centre Suite, PowerShell, Group Policy administration, Windows Server HA options such as clustering. RDS and WVD. Virtualisation Technologies: VMware vSphere ESXi and Hyper-V Cloud Technology: Microsoft Azure knowledge/experience to at least the Azure Fundamentals level covered in the AZ–900 certification. Management platforms: VMware vCentre, SCVMM management tools. SCCM, SCOM Storage: SAN, VSAN and standard storage management would be advantageous. Setup and configuration of storage devices. Server Hardware: Good knowledge of server hardware from multiple vendors. Setup and configuration of server hardware. Networking: Knowledge of the TCP/IP protocol suite, switches, routers, firewalls, SDN etc. Standards: ITIL – Knowledge and experience of the ITIL framework and practices. Experience working in an Enterprise Level IT environment of a global multi-site organisation or at least 3 years of suitable experience in a SME environment. Qualifications: - Degree in an IT or related subject. Good to have Skills:- Linux: Deploy, configure, implement, and administer a Linux environment comprising of at least CentOS, RedHat and Oracle Linux. Knowledge and experience of other distributions will be advantageous Management and monitoring tools: Puppet, Chef, Ansible, Salt Stack or similar configuration VMware Horizon knowledge and experience. Experience and knowledge of Hyperconverged Infrastructure – Cisco UCS, etc. Cloud Technology: AWS Certifications such as RHCSA, RHCE, Oracle Linux Certified Associate, AZ–104, CompTIA Linux+ About Sapiens:- Sapiens International Corporation (NASDAQ and TASE: SPNS) is a global leader in intelligent insurance software solutions. With Sapiens’ robust platform, customer-driven partnerships, and rich ecosystem, insurers are empowered to future-proof their organizations with operational excellence in a rapidly changing marketplace. We help insurers harness the power of AI and advanced automation to support core solutions for property and casualty, workers’ compensation, and life insurance, including reinsurance, financial & compliance, data & analytics, digital, and decision management. Sapiens boasts a longtime global presence, serving over 600 customers in more than 30 countries with its innovative SaaS offerings. Recognized by industry experts and selected for the Microsoft Top 100 Partner program, Sapiens is committed to partnering with our customers for their entire transformation journey and is continuously innovating to ensure their success. For More information visit us on www.sapiens.com. Sapiens is an equal opportunity employer. We value diversity and strive to create an inclusive work environment that embraces individuals from diverse backgrounds. Disclaimer: - Sapiens India does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Sapiens . Further, Sapiens does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Sapiens shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. In the event that you come across any fraudulent activities in the name of Sapiens , please feel free report the incident at sapiens to sharedservices@sapiens.com Show more Show less

Newfold Digital is a leading web technology company serving nearly seven million customers globally. Established in 2021 through the combination of leading web services providers Endurance Web Presence and Web.com Group, our portfolio of brands includes: Bluehost, BigRock, ResellerClub ,CrazyDomains, HostGator, Network Solutions, Register.com, Web.com and many others. We help customers of all sizes build a digital presence that delivers results. With our extensive product offerings and personalized support, we take pride in collaborating with our customers to serve their online presence needs. What You Will Do Newfold is seeking an experienced Senior SDET with strong skills in Testing, Automation, DevOps, and Programming to join our team. The Senior SDET will be responsible for architecting and building test frameworks for real-time, large-scale applications, developing, and executing test cases, and driving automation for microservices and micro-frontends. The ideal candidate should have strong programming skills, experience with automated testing tools and frameworks, and a deep understanding of software development best practices. Design, develop, and maintain automated test suites for web and mobile applications. Collaborate with development teams to ensure high-quality software products. Develop and execute test cases to identify defects and improve overall software quality. Design and implement test automation frameworks using modern technologies such as Selenium, Appium, Robot Framework, WebDriverIO and JMeter or likewise. Integrating projects with automation CI/CD servers like Bamboo or Jenkins Monitoring timely builds and managing product deployments efficiently Work with cross-functional teams to establish quality benchmarks and metrics. Identify, report, and track defects using JIRA or similar tools. Review and analyze test results to identify trends and areas for improvement. Participate in code reviews and provide feedback to improve code quality and testability. Research and evaluate new testing tools and methodologies to improve testing efficiency and effectiveness. Mentor and provide guidance to other SDETs on the team. Who You Are Bachelor/Master's degree in Computer Science or related disciplines (BTech / BE / ME / BCA /MCA ) 3 to 5 years of experience as an SDET or Software Engineer with a strong focus on testing Experience in architecting & building test frameworks for real-time, large-scale applications (good to know) Curiosity to find out how things work to discover how to break code Strong QE skills in test planning, including designing and executing test cases, bug isolation, bug report writing and troubleshooting and test case management Experience in white box testing and/or Test-Driven Development Strong programming skills in languages such as Python, Java and/or JavaScript Experience with automated testing tools such as Selenium, Appium, Robot Framework, WebDriverIO and JMeter or similar (mandatory) Experience with test automation frameworks such as Cypress, TestNG, JUnit, or PyTest (good to know) Knowledge of software development best practices, including Agile methodologies Experience with testing web applications, APIs, and mobile applications Strong analytical and problem-solving skills with excellent communication & collaboration skills Good understanding of the product architectures that are based on microservices & micro- frontends Strong analytical and problem-solving skills with the ability to think creatively and approach problems from different angles Familiarity with a variety of data analysis and machine learning techniques, including linear regression, logistic regression, classification, clustering, and dimensionality reduction Experience working with large datasets and high-performance computing environments Excellent communication and presentation skills, as well as the ability to collaborate effectively with others Understanding of the business domain and the ability to translate business problems into technical solutions Experience in building and deploying machine learning models into production. Familiarity with cloud computing platforms such as OCI, AWS, Azure, or GCP. Why you’ll love us. We’ve evolved: We provide three work environment scenarios. You can feel like a Newfolder in a work-from-home, hybrid, or work-from-the-office environment. Work-life balance: Our work is thrilling and meaningful, but we know balance is key to living well. We celebrate one another’s differences: We’re proud of our culture of diversity and inclusion. We foster a culture of belonging. Our company and customers benefit when employees bring their authentic selves to work. We have programs that bring us together on important issues and provide learning and development opportunities for all employees. We have 20+ affinity groups where you can network and connect with Newfolders globally. We care about you : At Newfold, taking care of our employees is our top priority. We make sure that cutting edge benefits are in place for you. Some of the benefits you will have: We have partnered with some of the best insurance providers to provide you excellent Health Insurance options, Education/ Certification Sponsorships to give you a chance to further your knowledge, Flexi-leaves to take personal time off and much more. Building a community one domain at a time, one employee at a time. All our employees are eligible for a free domain and WordPress blog as we sponsor the domain registration costs. Where can we take you? We’re fans of helping our employees learn different aspects of the business, be challenged with new tasks, be mentored, and grow their careers. Unfold new possibilities with #teamnewfold! This Job Description includes the essential job functions required to perform the job described above, as well as additional duties and responsibilities. This Job Description is not an exhaustive list of all functions that the employee performing this job may be required to perform. The Company reserves the right to revise the Job Description at any time, and to require the employee to perform functions in addition to those listed above. Show more Show less

Summary Provide support on Marketing technology programs and products. Explore, evaluate, co-create, and implement a data driven approach to Campaign Execution. About The Role Location: Hyderabad #Hybrid Key Responsibilities Partner closely with business teams to lead the design and optimization of marketing campaigns using performance insights, audience behaviours, and dynamic personalization to drive measurable business outcomes. Design, configure, and execute marketing campaigns with precision—ensuring timely delivery, quality control, and alignment with business goals across all stages of campaign lifecycle Design and implement measurement framework that track key metrics and performance trends and provide actionable insights to product leadership. Monitor Campaign Performance and Tracking, thereby create a feedback loop to improve segmentation, campaign design, digital production. Translate data insights into actionable recommendations to improve business processes, decision-making, product adoption and change management, and stakeholder satisfaction. Communicate findings effectively through visualizations (charts, dashboards, presentations) and executive summaries tailored to technical or non-technical stakeholders Essential Requirements Proficient in analyzing complex data sets using Excel / SQL / Python / R. Hands on experience in computational techniques like correlation, multivariate analysis, decision trees, clustering, regression, ensemble methods etc. as part of day-to-day role. Skilled in presenting data insights and ML outcomes effectively through dashboards, slides, and visualizations, and articulating their business impact. Knowledge of Campaign Analytics, Funnel Analytics, Experience on Salesforce Marketing Cloud, Marketing Cloud Intelligence, Google Analytics would create an advantage. Understanding of Sales & Marketing processes in Pharmaceutical Industry would create an advantage. Passion for keeping up to date with the latest in marketing technology and digital marketing trends. Adaptability to learn skills or platforms on the go. Bachelor’s / master’s degree in business or technology / engineering. Soft Skills Exhibit organizational agility, creativity, strategic & strong analytical thinking. Passion for solving business problems with data Dynamic, results-oriented team player who contributes positively to team success. Excellent presentation skills and storyboarding skills. Ability to operate effectively in an international matrix environment. Strong stakeholder management skills Why Consider Novartis? Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights. How You Will Contribute You will: Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Strong quantitative skillset with experience in statistics and linear algebra. A natural inclination toward solving complex problems Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc. Good communication skills to promote cross-team collaboration Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc. Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders About The Role We are seeking a highly motivated and experienced Senior Data Scientist to join our team and spearhead the development of Generative AI (GenAI) capabilities within Mondelēz International from an enterprise application perspective. In this pivotal role, you will champion the full lifecycle of GenAI application projects, taking ownership from initial concept and design to successful deployment, ongoing optimization, and continuous improvement. Beyond project execution, you will serve as a strategic advisor, guiding the evolution of our GenAI capabilities and ensuring alignment with overarching business objectives. This includes defining and enforcing internal standards for GenAI application development, guaranteeing compliance with ethical and security guidelines. You will also support the design of enterprise-level logical architectures for typical GenAI applications, and evaluate and recommend the most appropriate tools and technologies to empower our GenAI initiatives. Ultimately, you will play a critical role in shaping the future of GenAI within Mondelēz, driving innovation, maximizing value realization, and fostering responsible AI adoption across the enterprise. Key Responsibilities: GenAI Application development: Serve as the tech lead from data science point of view in the complete lifecycle of GenAI application projects, from initial ideation and design to successful deployment, optimization, and continuous improvement. Include both in house development or partner collaboration. Strategic Advisory: Provide strategic advice on the evolution of our GenAI capabilities to match company goals. Keeping up with the latest GenAI trend and map that to Mondelez application context to enable us do things better and smarter. Standards and Governance: Help establish and enforce programmatic approaches, governance frameworks and best practices for effective GenAI application building. Responsible AI for GenAI applications, data protection in GenAI context, complying to regulatory requirements and cost-effective GenAI application deployment. Enterprise Architecture Support: Support the design and development of enterprise-level logical architectures for typical GenAI applications, ensuring scalability, maintainability, and integration with existing infrastructure. Technology Evaluation and Recommendation: Evaluate and recommend the most appropriate GenAI tools, technologies, and platforms to empower our GenAI initiatives, staying abreast of the latest advancements in the field with a focus on cloud-based tools/technologies. Knowledge Sharing and Mentoring: Share knowledge and expertise with other team members, mentor junior data scientists, and spearhead the development of a strong GenAI community within Mondelēz. Skills and Experiences: Deep understanding of data science methodologies and implications: proficiency in machine learning, deep learning, statistical modelling, optimization, causal inference etc. Experience in mapping business problems to such methodologies with clear understanding/consideration in Ethical implications, risk mitigation, integration requirements, resource demand/optimization etc. Hands-on experience in cloud environment (8 years): Cloud platform, cloud-based data storage, processing, AI/ML model building, model life cycle, process orchestration, cost optimization etc. Working experience with MLOps (5 years): Understand MLOps processes and practice, familiar with MLOps Tools and technologies. Contributed significantly to shaping MLOps practice in an enterprise setup. LLM Application architecture & Integration (3 years): Hands-on experience building RAG applications, clear understanding of the underline technologies. Extensive experience integrating LLM into workflow through different ways (API etc). Experience in build Agent to leverage LLM and other tools for complex tasks. Familiar with Agent frameworks and orchestration tools. Core GenAI expertise (3 years): Prompt Engineering, Agentic Framework, Model fine-tuning. Cloud Based Deployment & Scaling (LLM-Specific): Practical experience deploying and scaling LLM-based applications in cloud environment. Familiar with scaling strategies for LLMs, and integration with other application. Collaboration with cross-functional teams (5 years): Proven ability to collaborate effectively with cross-functional teams. Excellent communication skills, both written and verbal to articulate technical concepts. Qualifications: Master’s degree in a Quantitative Discipline, PhD preferred. Minimum 12+ years of experience in data science/AI. Minimum 3 years of GenAI focused experience. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as Oreo , belVita and LU biscuits; Cadbury Dairy Milk , Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Data Science Analytics & Data Science Show more Show less

We are seeking a motivated Data Scientist with 2–4 years of experience to join our data team. You will work with large datasets, build predictive models, and deliver actionable insights that improve project performance and reduce risk. Key Responsibilities: Analyze large datasets to extract insights and trends Build ML models (prediction, classification, clustering) using Python Work with AEC domain teams to define data solutions Clean, transform, and validate data (SQL, Python) Automate ML workflows and reporting Create visualizations using Power BI, Tableau, or Plotly Document processes for reproducibility Qualifications: BE/BTech/MTech in Data Science, CS, Statistics, or related fields Strong Python & SQL skills Proficiency in libraries: scikit-learn, pandas, TensorFlow, etc. Knowledge of OOPs and ML concepts Experience with data visualization tools AEC industry knowledge (Revit, Navisworks, BIM 360) is a plus Strong communication & presentation skills Location: Andheri | Industry: AEC (Architecture, Engineering, Construction) Job Types: Full-time, Permanent Pay: ₹300,000.00 - ₹1,000,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Life insurance Paid sick time Paid time off Provident Fund Work from home Schedule: Day shift Fixed shift Monday to Friday Morning shift Supplemental Pay: Performance bonus Yearly bonus Application Question(s): What is your current CTC? What is your expected CTC? What is your notice period? Location: Mumbai, Maharashtra (Required) Work Location: In person

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Manager- GBS Commercial Location: Bangalore Reporting to: Senior Manager - GBS Commercial Purpose of the role This role sits at the intersection of data science and revenue growth strategy, focused on developing advanced analytical solutions to optimize pricing, trade promotions, and product mix. The candidate will lead the end-to-end design, deployment, and automation of machine learning models and statistical frameworks that support commercial decision-making, predictive scenario planning, and real-time performance tracking. By leveraging internal and external data sources—including transactional, market, and customer-level data—this role will deliver insights into price elasticity, promotional lift, channel efficiency, and category dynamics. The goal is to drive measurable improvements in gross margin, ROI on trade spend, and volume growth through data-informed strategies. Key tasks & accountabilities Design and implement price elasticity models using linear regression, log-log models, and hierarchical Bayesian frameworks to understand consumer response to pricing changes across channels and segments. Build uplift models (e.g., Causal Forests, XGBoost for treatment effect) to evaluate promotional effectiveness and isolate true incremental sales vs. base volume. Develop demand forecasting models using ARIMA, SARIMAX, and Prophet, integrating external factors such as seasonality, promotions, and competitor activity. time-series clustering and k-means segmentation to group SKUs, customers, and geographies for targeted pricing and promotion strategies. Construct assortment optimization models using conjoint analysis, choice modeling, and market basket analysis to support category planning and shelf optimization. Use Monte Carlo simulations and what-if scenario modeling to assess revenue impact under varying pricing, promo, and mix conditions. Conduct hypothesis testing (t-tests, ANOVA, chi-square) to evaluate statistical significance of pricing and promotional changes. Create LTV (lifetime value) and customer churn models to prioritize trade investment decisions and drive customer retention strategies. Integrate Nielsen, IRI, and internal POS data to build unified datasets for modeling and advanced analytics in SQL, Python (pandas, statsmodels, scikit-learn), and Azure Databricks environments. Automate reporting processes and real-time dashboards for price pack architecture (PPA), promotion performance tracking, and margin simulation using advanced Excel and Python. Lead post-event analytics using pre/post experimental designs, including difference-in-differences (DiD) methods to evaluate business interventions. Collaborate with Revenue Management, Finance, and Sales leaders to convert insights into pricing corridors, discount policies, and promotional guardrails. Translate complex statistical outputs into clear, executive-ready insights with actionable recommendations for business impact. Continuously refine model performance through feature engineering, model validation, and hyperparameter tuning to ensure accuracy and scalability. Provide mentorship to junior analysts, enhancing their skills in modeling, statistics, and commercial storytelling. Maintain documentation of model assumptions, business rules, and statistical parameters to ensure transparency and reproducibility. Other Competencies Required Presentation Skills: Effectively presenting findings and insights to stakeholders and senior leadership to drive informed decision-making. Collaboration: Working closely with cross-functional teams, including marketing, sales, and product development, to implement insights-driven strategies. Continuous Improvement: Actively seeking opportunities to enhance reporting processes and insights generation to maintain relevance and impact in a dynamic market environment. Data Scope Management: Managing the scope of data analysis, ensuring it aligns with the business objectives and insights goals. Act as a steadfast advisor to leadership, offering expert guidance on harnessing data to drive business outcomes and optimize customer experience initiatives. Serve as a catalyst for change by advocating for data-driven decision-making and cultivating a culture of continuous improvement rooted in insights gleaned from analysis. Continuously evaluate and refine reporting processes to ensure the delivery of timely, relevant, and impactful insights to leadership stakeholders while fostering an environment of ownership, collaboration, and mentorship within the team. Technical Skills - Must Have Data Manipulation & Analysis: Advanced proficiency in SQL, Python (Pandas, NumPy), and Excel for structured data processing. Data Visualization: Expertise in Power BI and Tableau for building interactive dashboards and performance tracking tools. Modeling & Analytics: Hands-on experience with regression analysis, time series forecasting, and ML models using scikit-learn or XGBoost. Data Engineering Fundamentals: Knowledge of data pipelines, ETL processes, and integration of internal/external datasets for analytical readiness. Proficient in Power BI, Advanced MS Excel (Pivots, calculated fields, Conditional formatting, charts, dropdown lists, etc.), MS PowerPoint SQL & Python. Business Environment Work closely with Zone Revenue Management teams. Work in a fast-paced environment. Provide proactive communication to the stakeholders. This is an offshore role and requires comfort with working in a virtual environment. GCC is referred to as the offshore location. The role requires working in a collaborative manner with Zone/country business heads and GCC commercial teams. Summarize insights and recommendations to be presented back to the business. Continuously improve, automate, and optimize the process. Geographical Scope: Global 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Bachelor or Post-Graduate in the field of Business & Marketing, Engineering/Solution, or other equivalent degree or equivalent work experience. Previous Work Experience 5-8 years of experience in the Retail/CPG domain. Extensive experience solving business problems using quantitative approaches. Comfort with extracting, manipulating, and analyzing complex, high volume, high dimensionality data from varying sources. And above all of this, an undying love for beer! We dream big to create future with more cheer. Show more Show less

We are looking for a Lead Data Scientist to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply. Responsibilities Develop and implement AI solutions including classification, clustering, and anomaly detection Conduct statistical data analysis and apply machine learning techniques Manage complete project delivery from data preparation to model evaluation Utilize Python programming and SQL for data manipulation and analysis Engage in ML Ops and model development workflows Create models that are accessible for business use Collaborate with teams using software development methodologies and version control Document processes and maintain project tracking tools such as Jira Stay updated with new technologies and apply problem-solving skills effectively Deliver production-ready solutions and facilitate knowledge sharing Requirements 9+ years of experience in software engineering, specializing in Data Science At least 1 year of relevant leadership experience Proficiency in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations Experience in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP Expertise in complete project delivery, from data preparation to model building, evaluation, and visualization Proficiency in Python programming and SQL, with experience in production-level code and data analysis libraries Familiarity with ML Ops, model development workflows, and feature engineering techniques Capability in manipulating data and developing models accessible for business use, with experience in Azure AI Search Competence in software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., Jira) Enthusiasm for learning new technologies, with expertise in problem-solving and delivering production-ready solutions Fluency in UNIX command line Familiarity with Agile development practices Excellent communication skills in English, with a minimum proficiency level of B2+ Nice to have Knowledge of Cloud Computing Experience with Big Data tools Familiarity with visualization tools Proficiency in containerization tools Show more Show less

Position Title: Data Scientist Location: Gurugram Experience: 3–4 Years Job Type: Full-Time Company: Sequifi | www.sequifi.com About the Role We are hiring a Data Scientist with 3–4 years of experience who has a strong foundation in data analysis, machine learning, and business problem-solving. This role is ideal for someone who is hands-on with modern tools and techniques, eager to explore new technologies, and enjoys working in a collaborative, fast-paced environment. Key Responsibilities Analyze complex datasets to uncover patterns, trends, and actionable insights. Build, validate, and deploy machine learning models for predictive analytics, classification, and clustering. Design and maintain efficient data pipelines and ETL processes. Create clear, interactive dashboards and reports using tools such as Power BI, Tableau, or Python visualization libraries. Collaborate with product managers, developers, and business analysts to understand requirements and deliver data-driven solutions. Conduct A/B testing and statistical analysis to support product decisions and optimizations. Continuously improve model performance based on feedback and business objectives. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field. 3–4 years of experience in data science or a similar role. Strong programming skills in Python (Pandas, NumPy, Scikit-learn), SQL, and familiarity with PHP or Node.js. Hands-on experience with data visualization tools such as Power BI or Tableau. Good understanding of machine learning algorithms, data preprocessing, and feature engineering. Experience working with structured and unstructured data, including NoSQL databases like MongoDB. Familiarity with cloud platforms such as AWS, GCP, or Azure is a plus. Soft Skills Strong analytical and problem-solving abilities. Effective communication and data storytelling skills. Ability to work independently as well as collaboratively in cross-functional teams. A mindset geared toward innovation, learning, and adaptability. Why Join Us Work on meaningful and challenging problems in a tech-focused environment. Join a young, supportive, and fast-moving team. Gain exposure to a combination of data science, product, and engineering. Opportunity to learn and grow continuously in a culture of innovation. If you’re passionate about using data to drive business impact, we’d love to hear from you. Apply now and grow with us at Sequifi. Show more Show less

Req ID: 326932 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Linux/UNIX Lead Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Preferred Experience: Thorough technical knowledge of Linux/UNIX/AIX platforms (Ubuntu, RHEL/SuSE). Must be able to demonstrate deep technical troubleshooting and problem-solving skills. Expertise in UNIX heterogeneous platform environments, including Clustering, Backup operations, Patching and Activation, Technical skills in Network components are preferred (DNS, DHCP, TCP). Good fundamentals and technical hands-on experience in Linux/UNIX/AIX troubleshooting. Willingness to develop strong competencies in Linux/UNIX/AIX platform support. Knowledge of Shell scripting / Python/Ansible will be a plus. Excellent understanding of ITSM\ITIL processes and certification will be added advantage. Good communication, team building, and interpersonal skill are mandatory. Knowledge and experience in Migration methodologies and Migration tools like Double Take and other related industry-wide deployment/migration tools. Knowledge in Linux VHS V2V - Vmotion and Solaris Zones migration from SHS to SHS is preferred, Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Shell scripting and automation experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Run-books Passion for delivering timely and outstanding customer service Able to Help L1 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 7+ years of overall operational experience 3+ years of AWS/Azure experience 3+ years of experience working in a diverse cloud support environment in a 24*7 production support model Preferred Certifications: AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications GCP Cloud Engineer About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

Req ID: 326934 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Linux/UNIX/AIX Lead Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Preferred Experience: Thorough technical knowledge of Linux/UNIX/AIX platforms (Ubuntu, RHEL/SuSE). Must be able to demonstrate deep technical troubleshooting and problem-solving skills. Expertise in UNIX heterogeneous platform environments, including Clustering, Backup operations, Patching and Activation, Technical skills in Network components are preferred (DNS, DHCP, TCP). Good fundamentals and technical hands-on experience in Linux/UNIX/AIX troubleshooting. Willingness to develop strong competencies in Linux/UNIX/AIX platform support. Knowledge of Shell scripting / Python/Ansible will be a plus. Excellent understanding of ITSM\ITIL processes and certification will be added advantage. Good communication, team building, and interpersonal skill are mandatory. Knowledge and experience in Migration methodologies and Migration tools like Double Take and other related industry-wide deployment/migration tools. Knowledge in Linux VHS V2V - Vmotion and Solaris Zones migration from SHS to SHS is preferred, Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Shell scripting and automation experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Run-books Passion for delivering timely and outstanding customer service Able to Help L1 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 7+ years of overall operational experience 3+ years of AWS/Azure experience 3+ years of experience working in a diverse cloud support environment in a 24*7 production support model Preferred Certifications: AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications GCP Cloud Engineer About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

Req ID: 327201 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Lead Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Grade 8 - SQL Job Description At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees are key factors in our company’s growth, market presence and our ability to help our clients stay a step ahead of the competition. By hiring, the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here. Preferred Experience " Ideal candidate has been supporting traditional server based relational databases (SQL Server) for over 7+ years out of which last 3+ years in public cloud environments (GCP and Azure) 5+ years of database experience in SQL Server 2008/2012/above versions 2+ years of database experience in Oracle11g /12c/above versions as secondary skill Knowledge of MySQL, PostgreSQL, Azure SQL,MI instances , GCP instances is a plus Strong planning, deployment, maintenance and troubleshooting experience in high-availability database environments (Always-On, Clustering, Mirroring, etc.). Expert in setting up health-checks and troubleshooting of SQL backups, restores and recovery models Able to work on On-Call rotations and provide 24*7 shift hours support at L2/L3 level Able to work independently in a project scenario and do POCs Experience in updating KB articles, Problem Management articles, and SOPs/runbooks Experience in google instances (SQL, Mysql,Postgresql) Experience incapacity planning, DR setup, project work (New environment setup) (SQL, Mysql,Postgresql) Passion for delivering timely and outstanding customer service Ability to work independently, with little or no direct supervision. Great written and oral communication skills with internal and external customers Strong ITIL foundation, Continual Service Improvement and Total Quality Management experiences Report weekly to management about abnormalities and critical issues; provide root cause analysis and recommendations; work with infrastructure team, application team and/or other teams for problem resolutions, following the escalation path if needed." Basic Qualifications " 7+ years of overall operational experience 3+ years of Azure/GCP experience as a cloud DBA (SQL) 3+ years of experience working in diverse cloud support database environments in a 24*7 production support model Experience with SSIS, SSRS, T-SQL Experience with python / powershell scripting - preferred Secondary skill in Oracle/MySQL/PostgreSQL - preferred Ability to work independently, with little or no direct supervision. Ability to work in a rapidly changing environment Ability to multi-task and context-switch effectively between different activities and teams " Preferred Certifications Azure fundamentals certification (AZ-900) - REQUIRED Azure Database Certification (DP-300) - preferred AWS Certified Database Specialty - preferred MCTS, MCITP, OCP certifications a plus Google Cloud Engineer - REQUIRED About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

Req ID: 327046 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a OS and Cloud Engineer to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Preferred Experience: Knowledge of Windows 2003/2008/2012/2016/2019/2022 Servers (Must Have), Server installation, configuration, Active Directory Management (OU/GPO/Forest and domain config and etc),Hyper-V / Vmware - Deployment and management of hyper V VMs, Disk Administration: Shrink Partitions & Share Drives, Disk Quotas, DFS, Patch management, Troubleshooting skills in OS & Hyper-V related. Hand-on knowledge of various RAID technologies (RAID 0+1, RAID 1, RAID 5, etc.), Knowledge of Clustering (geo cluster, multimode passive/active). Working Knowledge of File and Print servers, Knowledge on server management tools, Log monitoring/maintenance, and Solid understanding of cloud computing, networking, and storage principles with a focus on AWS. Azure experience is a plus. Cloud administration, OS/server administration, patching, maintenance, and troubleshooting experience. Willing to work on multiple cloud platforms. Powershell, scripting, and automation experience is a plus. Fundamental understanding of emerging technologies, including Containers and PaaS solutions Able to work on On-Call rotations Able to work independently in a project scenario and do POCs. Experience handling P1/P2 calls and escalations Able to write quality KB articles, Problem Management articles, and SOPs/Run-books Passion for delivering timely and outstanding customer service Able to Help L1 staff in support Great written and oral communication skills with internal and external customers Basic Qualifications: 7+ years of overall operational experience 3+ years of AWS/Azure experience 3+ years of experience working in a diverse cloud support environment in a 24*7 production support model 2+ years scripting Preferred Certifications: AWS SysOps Administrator/Developer/Solutions Architect Associate Certifications Azure Administrator Associate/Solution Architect Certifications Four Year BS/BA in Information Technology degree or equivalent experience About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here . Show more Show less

Req ID: 299670 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Systems Integration Analyst to join our team in Noida, Uttar Pradesh (IN-UP), India (IN). Position General Duties and Tasks: Participate in research, design, implementation, and optimization of Machine learning Models Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products Understanding of Revenue Cycle Management processes like Claims filing and adjudication Hands on experience in Python Build data ingest and data transformation platform Identify transfer learning opportunities and new training datasets Build AI models from scratch and help product managers and stakeholders understand results Analysing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Defining validation strategies Defining the pre-processing or feature engineering to be done on a given dataset Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Deploying models to production Create APIs and help business customers put results of your AI models into operations JD Education Bachelor’s in computer sciences or similar. Masters preferred. Skills hands on programming experience working on enterprise products Demonstrated proficiency in multiple programming languages with a strong foundation in a statistical platform such as Python, R, SAS, or MatLab. Knowledge in Deep Learning/Machine learning, Artificial Intelligence Experience in building AI models using algorithms of Classification & Clustering techniques Expertise in visualizing and manipulating big datasets Strong in MS SQL Acumen to take a complex problem and break it down to workable pieces, to code a solution Excellent verbal and written communication skills Ability to work in and define a fast pace and team focused environment Proven record of delivering and completing assigned projects and initiatives Ability to deploy large scale solutions to an enterprise estate Strong interpersonal skills Understanding of Revenue Cycle Management processes like Claims filing and adjudication is a plus About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team. Show more Show less

SEO Internship at Gaea Purpose Driven Location: Remote / Hybrid (Kolkata preferred) Duration: 6 Months Stipend: ₹7,000 – ₹10,000/month (based on experience) About Gaea At Gaea Purpose Driven , we help purpose-led brands grow with clarity, creativity, and conversion-first systems. From Shopify development to SEO and performance marketing, we build brands that stand for something—and scale because of it. We’re now opening up a 6-month internship opportunity in SEO for someone who’s eager to learn and contribute to meaningful growth projects across D2C, wellness, sustainability, and digital-first brands. Role Overview As an SEO Intern , you’ll dive deep into how search works—beyond just keywords. You’ll get hands-on experience working on live client projects alongside our SEO team, helping drive visibility, traffic, and brand discovery through both traditional SEO and Answer Engine Optimization (AEO) . What You’ll Work On Conduct keyword research, clustering , and competitive analysis using GSC, Ubersuggest & other tools Create and optimize metadata, headers, image alt texts , and internal linking Assist in publishing and optimizing blogs, PDPs, and CMS pages for SEO Perform on-page SEO audits and support implementation with dev team Monitor performance metrics across Google Search Console, GA4, and other tools Contribute to weekly/monthly SEO performance reports with clear insights and recommendations Track ranking movements, traffic trends , click-through rates, and bounce rates Assist in identifying and fixing crawl issues, broken links , and other technical gaps Learn and support implementation of schema markup and Answer Engine Optimization (AEO) You’re a Great Fit If You… Have basic knowledge of SEO (on-page/off-page/technical) Are comfortable using Google Sheets, Docs, and basic SEO tools (Ubersuggest, GSC) Have strong research and writing skills Are eager to learn, take ownership, and ask thoughtful questions Bonus: Exposure to Shopify/WordPress/Custom, or knowledge of HTML basics What You’ll Get Stipend of ₹7,000–₹10,000/month (based on experience) Certificate of completion + Letter of Recommendation Direct mentorship from SEO & Growth leads Access to premium tools and real client portfolios Possibility of a full-time role post-internship How to Apply Send your application to people@purposedriven.studio with the subject: SEO Internship – [Your Name] Include: Your updated CV (PDF only) A short note on: What draws you to SEO, and why do you believe Gaea is the right place for your growth? Show more Show less

Role- Analytics - Power BI Dashboard reporting Location- Gurugram Budget-7LPA Responsibilities Required Skills Must have- -Power BI Dashboard reporting Dashboarding & Visualization Design intuitive dashboards and visualizations (Power BI, Tableau, etc.) to present complex data clearly. Create self-service reporting tools for HR and leadership. Data Analysis & Interpretation Analyze workforce data to identify patterns and trends in hiring, engagement, turnover, DEI, and performance. Perform predictive and prescriptive analytics (e.g., turnover risk, future talent needs). Advanced Analytics & Modeling Build statistical models and dashboards for talent management, forecasting, or scenario planning. Use regression, clustering, and other data science techniques to answer HR business questions. Strategic Insight Generation Provide data-driven recommendations to HR leadership and business units. Link workforce metrics to business KPIs like productivity, revenue per employee, or customer satisfaction. Show more Show less

We are seeking a skilled Data Analytics professional who has a strong foundation in data analytics, experience working with large datasets, and expertise in analyzing operational performance and business metrics. Desire Skills & Experience Any Graduate/ Post-Graduate who holds experience into data analytics domain. 6+ years of experience in data analysis, preferably within a BPM, or voice process environment. Proven experience in analyzing operational metrics. Proficiency in data analytics tools and platforms such as SQL , Excel . Experience with scientific analytics tools like Python , R , or SAS for statistical analysis and model development. Competent with data visualization tools such as Tableau or Power BI . Knowledge of statistical techniques, including regression analysis, hypothesis testing, clustering, and machine learning. Strong analytical thinking and problem-solving skills. Excellent organizational skills, attention to detail, and ability to manage multiple tasks simultaneously. Show more Show less

Your work days are brighter here. At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here. At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday. About The Team The Database Engineering team at Workday designs, builds, develops, maintains, and supervises database infrastructure, ensuring that all of Workday's data related needs are met with dedication and scale, while providing high availability that our customers expect from Workday. We are a fast paced and diverse team of database specialists and software engineers responsible for designing, automating, managing, and running the databases on Private and Public Cloud Platforms. We are looking for individuals who have strong experience in backend development specializing in database as a service with deep experience in Open-Source database technologies like MySQL, PostgreSQL, CloudSQL and other Cloud Native database technologies. This role will suit someone who is adaptable, flexible, and able to succeed within an open collaborative peer environment. We would love to hear from you if you have hands-on experience in designing, developing, and managing enterprise level database systems with complex interdependencies and have a key focus on high-availability, clustering, security, performance, and scalability requirements! Our team is the driving force behind all Workday operations, providing crucial support for all Lifecycle Engineering Operations. We ensure that Workday’s maintenance and releases proceed without a hitch and are at the forefront of accelerating the transition to the Public Cloud. We enable Workday’s Customer Success- 60% of Fortune 500 companies, 8000+ customers, 55M+ Workers. About The Role Are you passionate about database technologies? Do you love to solve complex, large-scale database challenges in the world today using code and as a service? If yes, then read on! This position is responsible for managing and monitoring Workday's production Database Infrastructure. Focus on automation to improve availability and scalability in our production environments. Work with developers to improve database resiliency and improve/implement auto remediation techniques. Provide support for large scale database instances across production, non-production and development environments. Serve in a rotational on-call and weekly maintenance supporting database infrastructure. About You Basic Qualifications: 5+ years of experience in managing and automating mission critical production workloads on MySQL, PostgreSQL, CloudSQL and other Cloud native databases. Hands-on experience with at least one Cloud technology: AWS, GCP and/or Azure Experience managing clustered, highly available database services deployed on different flavors of Linux. Experience in backend development using modern programming languages (Python, Golang,) Bachelor's degree in a computer related field or equivalent work experience Other Qualifications: Knowledge of automation tools such as Terraform, Chef, GitHub, JIRA confluence and Ansible. Working experience in modern DevOps technologies and container orchestration (Kubernetes, Docker), service deployment, monitoring and scaling. Strong scripting experience in multiple languages such as shell, python, ruby etc. Experience with database architecture, design, replication, clustering, HA/DR Strong analytical, debugging, and interpersonal skills. Self-starter, highly motivated and ability to learn quickly. Excellent team player with strong collaboration, analytical, verbal, and written communication skills Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! Show more Show less

Roles and Responsibilities : Analyze category performance across sales channels (D2C, marketplaces, offline). Track KPIs like revenue, ASP, margin, sell-through, stock cover, and inventory turns. Conduct pricing, discount, and profitability analysis at SKU and category levels. Identify top-performing or underperforming products and uncover performance drivers. Build dashboards and automated reports for category health and inventory planning. Collaborate with marketing, SCM, and category teams to inform business decisions. Perform trend, seasonality, and cohort analysis to improve demand forecasting. Use customer behavior data (views, clicks, conversions) to support assortment planning. Automate reporting workflows and optimize SQL/Python pipelines. Support new product launches with benchmarks and success prediction models. Skills & Qualifications : 0–2 years of experience in a data analytics role, preferably in E- commerce or Retail. Proficiency in MySQL: writing complex queries, joins, window functions. Advanced Excel/Google Sheets: pivot tables, dynamic dashboards, conditional formatting. Experience in Python: Pandas, automation scripts, statsmodels/scikit- learn. Comfort with data visualization: Power BI / Tableau / Looker Studio. Understanding of product lifecycle, inventory metrics, pricing levers, and customer insights. Strong foundation in statistics: descriptive stats, A/B testing, forecasting models. Excellent problem-solving, data storytelling, and cross-functional collaboration skills. Preferred / Bonus Skills : Experience with Shopify, Magento, or other e-commerce platforms. Familiarity with Google Analytics 4 (GA4). Knowledge of merchandising or visual analytics. Exposure to machine learning (e.g., clustering, success prediction). Experience with VBA or Google Apps Script for reporting automation. Show more Show less

Sr Director/ VP AI & Machine Learning – Strategy Overview The next evolution of AI-powered cyber defense is here. With the rise of cloud and modern technologies, organizations struggle with the vast amount of data and thereby security alerts generated by their existing security tools. Cyberattacks continue to get more sophisticated and harder to detect in the sea of alerts and false positives. According to the Forrester 2023 Enterprise Breach Benchmark Report, a security breach costs organizations an average of $3M and takes organizations over 200 days to investigate and respond. AiStrike’s platform aims to reduce the time to investigate and respond to threats by over 90%. Our approach is to leverage the power of AI and machine learning to adopt an attacker mindset to prioritize and automate cyber threat investigation and response. The platform reduces alerts by 100:5 and provides detailed context and link analysis capabilities to investigate the alert. The platform also provides collaborative workflow and no code automation to cut down the time to respond to threats significantly. We are looking for a forward-thinking Leader for AI to define and lead the AI and ML strategy for our next-generation cybersecurity platform. This role sits at the intersection of data science, cybersecurity operations, and product innovation, responsible for transforming security telemetry into intelligent workflows, automated decisions, and self-improving systems. You will lead the vision and execution for how classification, clustering, correlation, and feedback loops are built into our AI-powered threat investigation and response engine. Your work will directly impact how analysts investigate alerts, how automation adapts over time, and how customers operationalize AI safely and effectively in high-stakes security environments. Key Responsibilities ● Define the AI Strategy & Roadmap: Own and drive the strategic direction for AI/ML across investigation, prioritization, alert triage, and autonomous response. ● Architect Feedback-Driven AI Systems: Design scalable feedback loops where analyst input, alert outcomes, and system performance continuously refine models. ● Operationalize ML for Security: Work with detection engineering, platform, and data teams to apply clustering, classification, and anomaly detection on massive datasets—logs, alerts, identities, cloud events—not images or media. ● Guide Complex Security Workflows: Translate noisy, high-volume telemetry into structured workflows powered by AI—spanning enrichment, correlation, and decisioning. ● Collaborate Across Functions: Partner with product managers, detection engineers, threat researchers, and ML engineers to define use cases, data needs, and modeling approaches. ● Ensure Explainability and Trust: Prioritize model transparency, accuracy, and control—enabling human-in-the-loop or override in high-risk environments. ● Lead AI Governance and Deployment Frameworks: Define policies, versioning, validation, and release processes for customer-safe AI usage in production environments. Requirements ● 10+ years of experience in data science, applied ML, or AI product leadership, with at least 3–5 years in cybersecurity, enterprise SaaS, or complex data domains. ● Demonstrated experience applying classification, clustering, correlation, and anomaly detection on structured/semi-structured data (e.g., logs, alerts, network events). ● Strong understanding of cybersecurity workflows: detection, investigation, triage, threat hunting, incident response, etc. ● Experience in building data feedback pipelines or reinforcement learning-like systems where user input improves future predictions or decisions. ● Proven ability to scale AI/ML systems across multi-tenant environments or customer-facing platforms. ● Familiarity with platforms such as Snowflake, Google Chronicle, Sentinel (KQL), or SIEM/SOAR tools is a strong plus. ● Exceptional communication and storytelling skills: able to communicate AI strategy to technical and executive stakeholders alike. ● Experience with security-specific ML tooling or frameworks (e.g., security data lakes, Sigma correlation engines, MITRE ATT&CK mapping). ● Prior work in multi-modal learning environments (signals from logs, identity, cloud infra, etc.). ● Deep familiarity with model evaluation, drift detection, and automated retraining in production settings. ● Exposure to or leadership in building agentic AI workflows or co-pilot-style assistant models in the security space. AiStrike is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, physical or mental disability, age, genetic information, sexual or affectional orientation, marital status, status regarding public assistance, familial status, military or veteran status or any other status protected by applicable law. Show more Show less

Roles & Responsibilities About the Role The Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Senior Data Scientist Qualifications B.Sc (M.Sc is a plus) in Computer Science, Mathematics, Statistics, or a related field 5+ years of proven experience designing and implementing machine learning algorithms and successfully deploying them to production. Strong understanding and practical experience with various machine learning algorithms. Proficiency in Python, Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficiency in data visualization libraries, to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment Advantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Data Scientist- Autonomous About Us Empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on us for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We are proud to work with incredible companies in virtually all industries including Wayfair, Acer, Gucci, Lorna Jane, GoPro, and many more We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose every day. About The Role The Research and Data Science department plays a pivotal role in our company, generating value to client by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making. What You'll Be Doing Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities Qualifications B.Sc (M.Sc is a plus) in Statistics, Computer Science, Mathematics, or a related field 3+ years of proven experience designing and implementing machine learning algorithms and techniques in production grade Strong understanding and practical experience with various machine learning algorithms, such as linear regression, logistic regression, decision trees, similarity search, neural networks, and deep learning Proficiency in programming languages such as Python or R for data manipulation, statistical analysis, and machine learning model development Experience with SQL and data manipulation tools (e.g., Pandas, NumPy) to extract, clean, and transform data for analysis Solid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental design Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions Proficient in data visualization libraries (e.g., Matplotlib, Seaborn, ggplot) to create meaningful visual representations of complex data Excellent written and verbal communication skills to present complex findings and technical concepts to both technical and non-technical stakeholders Demonstrated ability to work effectively in cross-functional teams, collaborate with colleagues, and contribute to a positive work environmentAdvantages: Experience in the fraud domain Experience with Airflow, CircleCI, PySpark, Docker and K8S Experience 6-8 Years Skills Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): AI/ML Development, Data Science About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru. Show more Show less

We are looking for an experienced Machine Learning Engineer to join our team. The ideal candidate should have a strong background in developing, implementing, and deploying machine learning models on edge platforms. With at least 5 years of overall experience and at least 3 years of machine learning experience, you will significantly contribute to our projects, driving innovation and delivering high-quality solutions. Responsibilities: ● Design, develop, and deploy machine learning models and algorithms on the edge platforms. ● Perform data analysis and feature engineering to enhance model performance. ● Collaborate with cross-functional teams to integrate ML solutions into existing systems. ● Monitor and maintain deployed models, ensuring optimal performance and reliability. ● Stay current with the latest advancements in machine learning and AI. ● Document processes and best practices for machine learning workflows. ● Troubleshoot and resolve issues related to ML models and data pipelines. Experience & Background Requirement: ● Bachelor's or Master's degree in Engineering or equivalent. ● Minimum of 7+ years of overall experience. ● Minimum of 7 years of machine learning experience. ● Proficiency in programming languages such as Python, C, C++. ● Experience with any of HW platforms like NXP, NVidia, Qualcomm, Synaptcis . ● Strong understanding of machine learning algorithms and techniques (e.g., regression, classification, clustering, neural networks). ● Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy, Matplotlib, OpenCV). ● Knowledge of data preprocessing, feature engineering, and model training/evaluation. ● Experience with data storage and processing technologies (e.g., SQL, JSON, XML). ● Excellent problem-solving and analytical skills. ● Strong communication and collaboration abilities. ● Experience of streaming and GUI development is an advantage. Show more Show less

About FynTune Solution: Founded in late 2017, FYNTUNE is the fastest growing Insurtech start-up in the industry. Our vision is to fundamentally change the way people engage with insurance through our SaaS and Cloud based technology solutions. Backed by a team of Insurance experts, FYNTUNE’s proprietary platform provides best-in-class technology for customer’s need analysis, product discovery, product selection, quote generation, policy issuance, payment, policy administration, reporting, business intelligence and many more. FYNTUNE’s integrates Insurance distribution channels with Insurance companies in real time via proprietary APIs and Web Services in order to provide a unified experience to the stakeholders. Our technology solutions are used by Financial Institutions and their millions of customers every day. Proud to state that India's leading Banks, Insurance Companies, Insurance Brokers and Mobility Players today use FYNTUNE's tech solutions for going digital and managing their customers. Position : PHP Developer Experience Range : Fresher Salary Range : 12,000 - 18,000 per month Location : Turbe , Navi Mumbai Job Brief: We are looking for a motivated PHP Developer to come join our fast-paced, fun and rewarding agile team of professionals. You will be responsible for managing back-end services and the interchange of data between the server and the users. Requirements: - PHP basic and OOPs concepts And MY SQL - Basic MySQL database knowledge. Knowledge of Clustering, Replication, Stored Procedures . - Understanding of Multi-tier architecture of the application - understanding of code version tools, such as Git, SVN. - Knowledge of HTML, CSS3, JavaScript, jQuery and ajax. - Proficient on API documentation tools/framework such as Postman, Swagger. - Team player, Self-motivated & Pro-active. - Experience in Client Communication. Responsibilities: · Develop, record and maintain cutting edge web-based PHP applications on portal plus premium service platforms · Build innovative, state-of-the-art applications and collaborate with the User Experience (UX) team · Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications · Prepare and maintain all applications utilizing standard development tools · Utilize backend data services and contribute to increase existing data services API · Lead the entire web application development life cycle right from concept stage to delivery and post launch support · Refactor, optimize and improve the existing codebase for maintenance and scale · Use test driven development and acceptance tests to ensure feature quality · Interface with customer and internal teams to gather requirements and develop software solutions · Convey effectively with all task progress, evaluations, suggestions, schedules along with technical and process issues · Document the development process, architecture, and standard components · Coordinate with co-developers and keeps project manager well informed of the status of development effort and serves as liaison between development staff and project manager · Keep abreast of new trends and best practices in web development Job Types: Full-time, Permanent Pay: ₹12,000.00 - ₹18,000.00 per month Benefits: Leave encashment Schedule: Day shift Supplemental Pay: Performance bonus Education: Bachelor's (Required) Location: Navi Mumbai, Maharashtra (Required)

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too. We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the plane t What you’ll do for us: Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc. Use latest advancements in AI/ML to solve business problems Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed. Develop or optimize modules to call web services for real time integration with externa systems Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects What you’ll have: Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning. Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc. Should be from a statistical background. Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field Languages: Python and/or R for Data Science Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing. Characteristics: Independent thinkers Strong presentation and communications skills We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function. Nice to have: Experience with SQL, databases and ETL tools or similar is optional but preferred Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable Experience in implementing planning applications will be a plus Understanding of Supply Chain Concepts will be preferable Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field What we’ll do for you Competitive salary with stock options to eligible candidates Flat organization: With a very strong entrepreneurial culture (and no corporate politics) Great people and unlimited fun at work Possibility to make a difference in a scale-up environment. Opportunity to travel onsite in specific phases depending on project requirements. Support network: Work with a team you can learn from everyday. Diversity: We pride ourselves on our international working environment. Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared How the process works Apply by clicking the button below You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer. During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application. We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion. Our recruiter will let you know if you’re the successful candidate. Good luck! More about us … With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do. Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others. Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore an d Munich. o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law Show more Show less

Job Information Date Opened 06/17/2025 Industry AEC Job Type Permanent Work Experience 1 - 3 Years City Mumbai State/Province Maharashtra Country India Zip/Postal Code 400093 About Us Axium Global (formerly XS CAD), established in 2002, is a UK-based MEP (M&E) and architectural design and BIM Information Technology Enabled Services (ITES) provider with an ISO 9001:2015 and ISO 27001:2022 certified Global Delivery Centre in Mumbai, India. With additional presence in the USA, Australia and UAE, our global reach allows us to provide services to customers with the added benefit of local knowledge and expertise. Axium Global is established as one of the leading pre-construction planning services companies in the UK and India, serving the building services (MEP), retail, homebuilder, architectural and construction sectors with high-quality MEP engineering design and BIM solutions. Job Description We are looking for a motivated and analytical Data Scientist with 2–4 years of experience to join our growing data team. The ideal candidate should be comfortable working with large datasets, building predictive models and generating actionable insights. Experience or familiarity with the AEC industry is a strong plus, as the role involves working on data generated from engineering, construction and design workflows. As a Data Scientist, you will play a key role in turning raw data into insights that support strategic decision-making. You will collaborate with cross-functional teams including software developers and domain experts. Your analytical models and tools will help enhance project performance, reduce risk and drive operational efficiency. Key Roles and Responsibilities: Analyze large datasets to identify trends, patterns and actionable insights Design and implement machine learning and neural network models for predictions, classifications and clustering Collaborate with AEC domain teams to understand data requirements and propose technical solutions Clean, transform, and validate data using SQL, Python Support automation of machine learning (ML) workflows and model reporting pipelines Document data science processes and results for transparency and reproducibility Create dashboards and visualizations using tools like Power BI, Tableau or Plotly Qualifications and Experience Required: BE/BTech/MTech degree in computer science, Data Science, Engineering, Statistics or a related field 2–4 years of hands-on experience in a Data Science or related role Strong programming skills in Python, and proficiency with SQL Experience with data science libraries (e.g pytorch, scikit-learn, pandas, NumPy, TensorFlow, XGBoost) Clarity with the concepts of Object-Oriented Programming (OOPs) Good understanding of statistics, machine learning techniques and data modeling Experience with data visualization tools such as Power BI, Tableau or Matplotlib Familiarity with the AEC industry and tools like Revit, Navisworks, BIM 360 or project scheduling data is a plus Strong communication skills and ability to present data findings to non-technical stakeholders Compensation: The selected candidate will receive competitive compensation and remuneration policies in line with qualifications and experience. Compensation will not be a constraint for the right candidate. What We Offer: A fulfilling working environment that is respectful and ethical A stable and progressive career opportunity State-of-the-art office infrastructure with the latest hardware and software for professional growth In-house, internationally certified training division and innovation team focusing on training and learning the latest tools and trends. Culture of discussing and implementing a planned career growth path with team leaders Transparent fixed and variable compensation policies based on team and individual performances, ensuring a productive association.

Job Title : MuleSoft Administrator Experience : 5+ Years Location : Hyderabad (Hybrid/Onsite) Employment Type : Full-Time Job Summary We are seeking an experienced MuleSoft Administrator to manage, configure, and maintain the MuleSoft Anypoint Platform, ensuring seamless integration solutions for our clients. The ideal candidate will have extensive experience in monitoring, troubleshooting, and optimizing MuleSoft environments, as well as ensuring the overall health and performance of MuleSoft applications. Key Responsibilities Platform Administration : Administer, configure, and maintain the MuleSoft Anypoint Platform (CloudHub, Anypoint Studio, and Mule runtime engine) across different environments (dev, test, and production). Deployment & Monitoring : Handle deployments, updates, and monitoring of MuleSoft applications. Ensure uptime and performance for mission-critical integrations. Troubleshooting : Troubleshoot and resolve any issues related to the MuleSoft platform, including integration, connectivity, and performance issues. Security & Compliance : Implement and manage security policies for API and integration layers, including access controls, encryption, and logging. Performance Optimization : Monitor system performance and perform necessary tuning, including memory, CPU usage, and application logs to maintain optimum system performance. Version Management : Manage versioning and patching of MuleSoft components and integrations to ensure that the environment is up to date. Documentation & Reporting : Maintain technical documentation related to configuration, performance, and troubleshooting guides. Generate and analyze regular reports on platform usage and performance. Collaboration : Work closely with MuleSoft developers, architects, and QA teams to ensure seamless integration and deployment processes. Backup and Disaster Recovery : Implement and test backup and disaster recovery procedures for MuleSoft environments. Required Skills 5+ years of experience in managing MuleSoft environments and Anypoint Platform. Proficient in Anypoint Platform administration, including CloudHub, API Manager, and Anypoint Exchange. Solid experience with MuleSoft runtime engines (Mule 3 and Mule 4), including clustering, load balancing, and high-availability configurations. Strong understanding of API lifecycle management, including monitoring and securing APIs using Anypoint API Manager. Experience in configuring, deploying, and maintaining MuleSoft applications on CloudHub and on-premise environments. Proficient in CI/CD tools and processes (e.g., Jenkins, Maven). Hands-on experience with logging and monitoring tools (e.g., Splunk, ELK Stack, Anypoint Monitoring). Knowledge of cloud platforms (AWS, Azure, GCP) and associated services is a plus. Strong problem-solving and troubleshooting skills in high-pressure environments. Knowledge of security frameworks like OAuth2, SSL, SSO for MuleSoft integrations. Preferred Qualifications MuleSoft Certified Platform Architect or MuleSoft Certified Developer certification. Hands-on experience with DevOps tools and processes. Familiarity with Docker and Kubernetes for container-based deployments. Exposure to working in an Agile/Scrum environment. Experience with network protocols (HTTP, JMS, MQ, FTP) and understanding of integration best practices. (ref:hirist.tech) Show more Show less