4497 Data Science Jobs - Page 10

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

The company's beliefs serve as the guiding principles for everyday business operations, rooted in core values of Inclusion, Innovation, Collaboration, and Wellness. These values drive a global team approach, prioritizing customer-centricity and community care. As a Lead Product Manager within the Merchant Lifecycle team, you will spearhead impactful initiatives that enhance the end-to-end merchant experience, leveraging AI, APIs, data, and experimentation. The ideal candidate excels in dynamic environments, applying first-principles thinking and collaborating across diverse teams to scale products effectively. Your pivotal role focuses on streamlining the merchant setup process for seamless activation and long-term success on the platform. Your responsibilities include: - Collaborating closely with Engineering, UX, and Data Science teams to develop AI-enabled, API-first product experiences. - Defining and executing the roadmap for merchant lifecycle solutions, emphasizing value delivery, scalability, and user experience excellence. - Demonstrating an entrepreneurial mindset by taking ownership of end-to-end processes and proactively identifying impactful opportunities. - Engaging hands-on with data, product design, and delivery to drive merchant engagement and meet desired outcomes. - Utilizing tools like Amplitude, Tableau, SQL Queries, and Excel for hypothesis-driven product development. - Implementing product-led growth strategies to boost self-serve adoption, engagement, and retention. - Leading cross-functional collaboration with Risk, Compliance, Legal, Analytics, and UX teams to deliver secure, compliant, and customer-centric solutions. To make a significant impact, you will: - Conduct primary and secondary customer research to shape product vision and strategy. - Apply first principles and systems thinking to address complex challenges effectively. - Coordinate with global teams across multiple time zones to drive alignment and execution in a distributed environment. - Ensure product alignment with regional regulatory frameworks by collaborating with legal and compliance experts. - Possess recent experience with MCP (Model Context Protocol) and Agentic AI automation for added advantage. Qualifications required: - Minimum of 10+ years of software experience, with at least 7+ years as a Product Manager. - Strong background in user experience design, onboarding, and regulatory compliance. - Proven ability to lead complex projects and strategic initiatives. - Excellent communication, leadership, and collaboration skills across teams. - Data-driven mindset with strong analytical and problem-solving capabilities. - Experience in legacy system modernization and infrastructure enhancements is beneficial. The company actively supports diversity and inclusion, fostering a culture of openness and community. For more insights into our values and community, visit [company website]. To explore opportunities that align with your skills, consider joining our Talent Community. Don't let confidence gaps hinder your application; we encourage all qualified candidates to apply.,

As a part of Relay Human Cloud, you will be joining a young and dynamic company that collaborates with top US-based companies to help them expand their teams globally. With operations in the US, India, Honduras, and Mexico (and more countries to come), we are committed to facilitating connections between companies and the best international talent available. Your role at Relay will involve various key responsibilities, including but not limited to estimating duties. This will entail downloading bid invitations, plans, and specifications from platforms like BuildingConnected and other GC portals. You will be responsible for creating and organizing a structured job folder on our shared drive, adhering to company standards and setting up projects in Accubid Anywhere and LiveCount. In addition, you will need to conduct comprehensive takeoffs for various systems such as lighting, fire alarm, telecom/data, and grounding, among others. Your role will also involve reading and interpreting technical drawings to understand routing, clearances, and coordination requirements. Furthermore, you will be expected to extract specification-driven requirements and identify cost drivers for the estimator. To excel in this position, you should ideally possess 13 years of experience in electrical estimating or project support, although internships and entry-level roles will be considered. While a Bachelor's degree in construction management, engineering, or a related field is preferred, it is not mandatory. Strong organizational and communication skills are essential for this role. Experience with platforms like Accubid Anywhere, Bluebeam, Procore, or similar tools would be advantageous. If you are looking to be a part of a global company that values innovation, collaboration, and excellence, Relay Human Cloud could be the perfect fit for you. Join us in our mission to connect companies with top international talent and make a meaningful impact in the world of business.,

As the leader of AIM's corporate AI & data training arm (ADaSci), you will be responsible for owning P&L management and driving business growth. Reporting directly to the CEO, your role will involve developing and executing strategies to enhance revenue generation, establish enterprise partnerships, and expand our range of instructor-led and digital learning solutions. Your key responsibilities will include full ownership of the P&L for the ADaSci training business, encompassing budgeting, forecasting, pricing, and cost control. You will be tasked with creating go-to-market plans to promote AI and data science courses, certifications, and customized programs to corporate clients. Additionally, you will oversee the end-to-end delivery process, which involves managing curriculum design, instructor networks, and learning platforms. Building and nurturing relationships with C-suite stakeholders, L&D leaders, and technology partners will be crucial in driving pipeline growth. Collaboration with the marketing team to position ADaSci as a leading provider of upskilling and reskilling solutions will also be part of your responsibilities. Monitoring key metrics such as revenue, margin, utilization, and NPS will help you identify areas for improvement to maximize profitability. Recruitment and mentorship of a high-performing team comprising sales, program management, and content specialists will be essential to achieving organizational goals. To qualify for this role, you should have at least 15 years of experience in corporate training, EdTech, or professional services with a proven track record of P&L ownership. Demonstrated success in selling and scaling AI, data science, or technology training solutions to large enterprises is a must. Strong financial acumen, proficiency in managing budgets, pricing models, and profitability levers, as well as excellent stakeholder management and negotiation skills with C-level executives, are required qualifications. Desired skills include a strategic mindset, the ability to translate market insights into actionable plans, hands-on leadership capabilities, and a data-driven approach to decision-making. A passion for adult learning, upskilling trends, and emerging AI technologies will further enhance your suitability for this role.,

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,

As a global AI and analytics consulting firm, Tiger Analytics is dedicated to leveraging data and technology to develop innovative solutions that have a significant impact on a global scale. Our 4000+ tribe is committed to solving complex problems that ultimately improve the lives of millions worldwide. Our organizational culture revolves around expertise, respect, and a team-first mindset. Headquartered in Silicon Valley, Tiger Analytics has delivery centers across the globe and offices in various cities in India, the US, UK, Canada, and Singapore, with a substantial remote global workforce. We are proud to be recognized as a Great Place to Work-Certified company. Joining Tiger Analytics means being at the forefront of the AI revolution. You will collaborate with dynamic teams that constantly strive to push the boundaries of what is achievable and create solutions that inspire and invigorate. Tiger Analytics is currently expanding its Banking Financial Services vertical and is seeking highly motivated AI/ML/Data Science professionals with specialized domain knowledge in the Banking and Financial Services sector, coupled with strong technical skills. This challenging role within the Banking & Financial Services Analytics area offers an exciting opportunity for individuals looking to make a significant impact in this industry. Key Skills & Competencies required for this role include: - Possessing over 8 years of experience in financial service and regulatory program management. - Demonstrated experience in managing large data programs, particularly in the Banking sector. Ability to define and operationalize a set of RDAR metrics. - Proficiency in coordinating communications, training, change management, parallel runs, and production cut-over. - Ability to lead complex and large programs involving dual shore mode, diverse stakeholders, and overall team sizes ranging from 20-30 people. - Developing and implementing project management methodologies, establishing and enforcing project management standards, processes, and best practices to ensure consistency and quality across projects. - Monitoring project execution to ensure adherence to established standards and procedures. - Tracking project progress, monitoring performance, and providing support to project managers and teams. Facilitating communication between project teams, stakeholders, and senior management by delivering regular updates and reports on project status. - Playing a key role in identifying, allocating, and managing resources effectively. - Identifying and mitigating potential risks and issues that could impact project success. - Demonstrating strong communication skills and experience in managing diverse stakeholders. - Preference for candidates with certifications such as PMP, Agile, or Scrum. If you are a dynamic professional seeking a challenging role in the Banking & Financial Services Analytics domain, Tiger Analytics offers a stimulating environment where you can contribute to cutting-edge projects and be part of a talented team that is shaping the future of AI and analytics in the industry.,

As the Campus Director, you will play a crucial role in leading the academic, operational, and strategic functions of the institution. Your primary responsibility will be to enhance the Computer Science programs in line with industry and global standards, focusing on academic excellence, innovation, and employability-driven outcomes. Your key responsibilities will include providing strategic leadership for all programs on campus, particularly in the fields of Computer Science, AI, Data Science, and related domains. You should have the expertise to establish cutting-edge laboratories equipped with the latest technologies in these areas. Another vital aspect of your role will be to design and implement industry-relevant curricula for Computer Science programs, ensuring compliance with AICTE norms, NAAC, NBA accreditation, and emerging technology trends. Building partnerships with tech companies, IT firms, and innovation hubs for internships, placements, and research collaborations will also be essential. You will oversee faculty recruitment, training, and development in high-demand areas such as AI, ML, Cyber Security, Blockchain, and Cloud Computing. Additionally, you will be responsible for managing academic operations, admissions, examinations, student activities, and campus infrastructure. Leading initiatives for campus placements, skill development, and entrepreneurship programs will be part of your role, along with maintaining the highest standards of academic delivery, discipline, and student satisfaction. Representing the institution in academic forums, conferences, and regulatory interactions will also be expected from you. Your eligibility criteria for this position include a Ph.D. in Computer Science & Engineering, a minimum of 15-20 years of teaching/academic leadership experience, and a proven track record in academic administration and industry collaboration. Strong knowledge of AICTE, UGC, NAAC, NBA, and NIRF frameworks, as well as excellent leadership, interpersonal, and communication skills, are essential for this role.,

As a member of our team at Softsensor.ai, you will be responsible for designing, developing, and maintaining Salesforce solutions using Apex, Visualforce, and other related technologies. Your role will involve customizing and enhancing Salesforce to align with the specific requirements of the business. Collaboration with cross-functional teams to design and implement new features will be a key aspect of your responsibilities. You will have the opportunity to work on achieving certain milestones on Trailhead related to Salesforce. Participating in code reviews to uphold high-quality standards, troubleshooting and debugging issues in existing applications, and ensuring that you are updated with the latest developments in Salesforce and related technologies will be essential parts of your daily tasks. Softsensor.ai is a USA and India-based corporation that focuses on delivering client outcomes using data-driven solutions. Our team comprises individuals with diverse expertise and experience in deploying solutions rapidly. We prioritize data science and analytics to enhance process and organizational performance, leveraging cutting-edge technologies such as NLP, CNN, and RNN in a business context. Join us at Softsensor.ai to contribute to innovative projects and work in a dynamic environment that values continuous learning and professional growth.,

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Utilizing machine learning techniques, you will identify data patterns and trends, providing insights to enhance business decision-making capabilities in various areas such as business planning, process improvement, and solution assessment. Your responsibilities will include developing and implementing machine learning models for predictive analytics, forecasting, and optimization. You will design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Furthermore, you will experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Developing tools and techniques to evaluate the performance and impact of AI solutions will be part of your role. You will translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. Continuous improvement is key, and you will explore and evaluate new data sources, tools, and capabilities with a focus on cutting-edge AI technologies. Collaboration with internal and external business partners in building, implementing, tracking, and improving decision strategies will be essential. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, and have a curious mindset for learning and developing new skill sets, particularly in artificial intelligence. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers are required. Experience with statistical modeling techniques, GenAI solutions, agentic AI frameworks, and data visualization tools like Tableau or Power BI is beneficial. Other essential skills include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. A Bachelors/University degree or equivalent experience is necessary for this role.,

You have a great opportunity as a Sr Product Owner focusing on Generative AI technologies such as LLMs and LIMs. Your role will involve collaborating with cross-functional teams in India including engineering, data science, QE, and analytics. Additionally, you will be working closely with the product and creative teams based in the US to ensure seamless coordination and innovation. As a Product Owner, you will be responsible for monitoring product adoption, collecting post-launch feedback, and utilizing these insights to drive future product enhancements. Your strategic acumen will be crucial in maintaining and prioritizing the product backlog in alignment with organizational goals. An integral part of your role will be updating internal stakeholders on the progress of product development, identifying challenges, and seizing opportunities. You will drive innovation and experimentation in product features, leveraging data-driven insights to make informed decisions. Furthermore, you will collaborate with the data science team to evaluate output quality and model performance regularly. Your comfort with working in an onshore/offshore model will be beneficial in this dynamic and impactful position.,

As a Machine Learning and AI Specialist, you will be responsible for architecting and implementing cutting-edge solutions in the fields of Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs). Your role will involve integrating these models into application ecosystems, collaborating with data engineering teams to develop robust pipelines, and conducting AI/ML research to ensure that our solutions stay ahead of industry trends. In addition to your technical responsibilities, you will also play a key role in mentoring junior team members, collaborating with stakeholders across departments, and ensuring the scalability and efficiency of our ML models. Participation in code reviews, planning discussions, and overall contribution to the team's success will be crucial aspects of your day-to-day work. To excel in this role, you must possess a strong foundation in programming, particularly in Python, and have experience working with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, OpenAI, and Llama. Proficiency in data libraries like NumPy and Pandas, along with expertise in domains like Computer Vision, NLP, LLMs, and Data Science, will be essential for success. The ideal candidate for this position will hold a Bachelors or Masters degree in Computer Science, Data Science, or a related field, and have a minimum of 4 years of experience in Data Science and Machine Learning, with at least 2 years of experience in enterprise applications. Strong analytical and communication skills, along with the ability to manage multiple projects in a fast-paced environment, will be key to thriving in this role. This is a full-time position based in Noida, with a day shift schedule that requires in-person work at the designated location. If you are passionate about leveraging AI and ML technologies to drive innovation and solve complex challenges, we encourage you to apply and join our dynamic team.,

About Us At Digilytics, we specialize in building and delivering user-friendly AI products tailored to the secured lending and consumer industry sectors. Unlike many other tech solutions, our approach is grounded in a thorough understanding of our clients" business dynamics and the factors that drive or hinder their success. Founded by Arindom Basu, Digilytics is led by a team deeply committed to leveraging cutting-edge technology for sustainable business growth. With a collective experience of over 50 years in technology-driven transformations, our leadership prioritizes values and long-term success. Currently, our primary focus is on developing RevEL, a groundbreaking product aimed at revolutionizing loan origination processes for mortgages and secured lending. Additionally, we are working on RevUP, a product designed to enhance trade sales for consumer industry clients such as auto and FMCG companies. About The Role The role we are offering involves a unique blend of business acumen, data science expertise, and proficiency in digital and analytics technologies to drive profitable growth. Key responsibilities include: - Understanding the underlying factors that contribute to or detract from business value - Utilizing data science techniques to extract insights from both internal and external data sources - Implementing digital and analytics technologies to create scalable and user-friendly solutions Digilytics is currently in the process of developing an AI-enabled product, RevEL, with a focus on enhancing credit lending operations for lenders in the UK and US markets, with plans for expansion to other regions in the future. We are seeking a talented individual with a passion for data science and python engineering, who possesses the skills to research, design, and deploy AI models using python and cloud-based technologies. The ideal candidate should be enthusiastic about contributing to a growing company and have relevant industry experience to make a meaningful impact on our platform and products. Skills The role requires a diverse skill set, and we are specifically looking for a strong communicator with extensive experience in data science techniques and python engineering. As part of the product engineering team, the successful candidate will: - Embrace the Digilytics vision and stay updated on the latest advancements in AI - Collaborate with the product engineering leader to architect and develop python-based applications - Demonstrate proficiency with tools such as Pytorch, Django/Flask, and API development - Be familiar with innovative techniques like Open Weighted LLM+RAG and Agentic AI MCP framework - Lead a team of data scientists and python developers to drive excellence across our global operations in India, UK, and US - Engage with various stakeholders and coordinate with teams across different regions Experience We are looking for a candidate with the following qualifications and experience: - Demonstrated ability to work in diverse organizational settings, ranging from small setups to larger corporations with multicultural exposure - Experience in managing teams of 10-15 resources - 5-7 years of hands-on experience in client-facing roles or technology product environments, with a focus on deploying models - Proficiency in software skills relevant to data science - Understanding of computational analysis, search, and machine learning techniques - Familiarity with analytics tools and landscape - Domain expertise in serving customers within the Financial Services sector - Proven track record of architecting machine learning pipelines for production environments Background Candidates for this role should possess the following educational background and qualifications: - Bachelor's degree or higher in Software Engineering or Computer Science, with a strong emphasis on python programming - Formal training in AI technologies and financial services domain will be advantageous Please note: The job description mentioned above is referenced from hirist.tech,

Company Overview Incedo is a US-based consulting, data science and technology services firm with over 3,500 people helping clients from our six offices across US and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, financial services, product engineering and life science & healthcare industries. Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities are also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests. Role Description Incedo is looking for a trainee in their Delivery Assurance group to help them in their growth journey. The position is ideal for candidates who want to gain valuable experience in a managerial role in an IT service company. As a trainee, you will be working in the Delivery Assurance group whose motive is to streamline the best delivery practices across the organization.. Role and responsibilities ? Work with senior managers to plan and design the blueprint of processes aimed at improving the delivery of the system. ? Gather critical information from meetings with different stakeholder and convert it into an actionable plan. ? Understand the core business functions of the company and its operating model. ? Drive daily operations and services of different units in the Delivery Assurance group. ? Develop and gain business acumen whilst working with the different stakeholders within the company. ? Plan, attend and coordinate different meetings under guidance of the senior managers. ? Be in touch with the latest process and advancements in the IT industry to modernize systems. ? Effectively communicate the plans and insights to cross functional team members and management. ? Learn how to mentor other team members. Technical Skills Excellent communication and documentation skills Ability to convince stakeholders and coordinate with them to determine acceptable solutions Fundamental analytics and conceptual thinking skills Experience in managing and interpreting data Nice-to-have skills Qualifications Undergrad/MBA degree from a reputed university Candidates with Prior IT experience will be preferred

As a Senior Cloud Data Platform (AWS) Specialist at Incedo, you will be responsible for designing, deploying and maintaining cloud-based data platforms on the AWS platform. You will work with data engineers, data scientists and business analysts to understand business requirements and design scalable, reliable and cost-effective solutions that meet those requirements. Roles & Responsibilities: Designing, developing and deploying cloud-based data platforms using Amazon Web Services (AWS) Integrating and processing large amounts of structured and unstructured data from various sources Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Collaborating with other teams to ensure the consistency and integrity of data Troubleshooting and resolving data platform issues Technical Skills Skills Requirements: In-depth knowledge of AWS services and tools such as AWS Glue, AWS Redshift, and AWS Lambda Experience in building scalable and reliable data pipelines using AWS services, Apache Spark, and related big data technologies Familiarity with cloud-based infrastructure and deployment, specifically on AWS Strong knowledge of programming languages such as Python, Java, and SQL Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Software Engineer - Data Reporting Services at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Nice-to-have skills Qualifications Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Software Engineer - ETL - Python at Incedo, you will be responsible for designing and developing ETL workflows to extract, transform, and load data from various sources to target systems. You will work with data analysts and architects to understand business requirements and translate them into technical solutions. You will be skilled in ETL tools such as Informatica or Talend and have experience in programming languages such as SQL or Python. You will be responsible for writing efficient and reliable code that is easy to maintain and troubleshoot. Roles & Responsibilities: Develop, maintain, and enhance software applications for Extract, Transform, and Load (ETL) processes Design and implement ETL solutions that are scalable, reliable, and maintainable Develop and maintain ETL code, scripts, and jobs, ensuring they are efficient, accurate, and meet business requirements Troubleshoot and debug ETL code, identifying and resolving issues in a timely manner Collaborate with cross-functional teams, including data analysts, business analysts, and project managers, to understand requirements and deliver solutions that meet business needs Design and implement data integration processes between various systems and data sources Optimize ETL processes to improve performance, scalability, and reliability Create and maintain technical documentation, including design documents, coding standards, and best practices. Technical Skills Skills Requirements: Proficiency in programming languages such as Python for writing ETL scripts. Knowledge of data transformation techniques such as filtering, aggregation, and joining. Familiarity with ETL frameworks such as Apache NiFi, Talend, or Informatica. Understanding of data profiling, data quality, and data validation techniques. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Investment ops Manager at Incedo, you will be responsible for managing investment operations for clients. You will work with clients to understand their investment needs and manage operations that meet those needs. You will be skilled in investment management tasks such as portfolio management, trade processing, and performance measurement and have experience with investment management systems such as Bloomberg or Charles River. Roles & Responsibilities: Managing investment operations processes, including trade settlements, corporate actions, and cash management Ensuring compliance with regulatory requirements and internal policies Developing and maintaining investment operations documentation and policies Collaborating with other teams to implement process improvements Providing guidance and mentorship to junior Investment Ops Managers Staying up-to-date with industry trends and best practices in investment operations. Technologies involved may include trading platforms, custodian systems, and investment management software. Technical Skills Skills Requirements: Knowledge of investment products such as equities, bonds, and derivatives Experience in managing investment operations processes such as trade settlements, portfolio accounting, and corporate actions Familiarity with investment management systems such as Bloomberg, Reuters, or FactSet Understanding of investment performance reporting and analytics Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Software Engineer - ETL - Python at Incedo, you will be responsible for designing and developing ETL workflows to extract, transform, and load data from various sources to target systems. You will work with data analysts and architects to understand business requirements and translate them into technical solutions. You will be skilled in ETL tools such as Informatica or Talend and have experience in programming languages such as SQL or Python. You will be responsible for writing efficient and reliable code that is easy to maintain and troubleshoot. Roles & Responsibilities: Develop, maintain, and enhance software applications for Extract, Transform, and Load (ETL) processes Design and implement ETL solutions that are scalable, reliable, and maintainable Develop and maintain ETL code, scripts, and jobs, ensuring they are efficient, accurate, and meet business requirements Troubleshoot and debug ETL code, identifying and resolving issues in a timely manner Collaborate with cross-functional teams, including data analysts, business analysts, and project managers, to understand requirements and deliver solutions that meet business needs Design and implement data integration processes between various systems and data sources Optimize ETL processes to improve performance, scalability, and reliability Create and maintain technical documentation, including design documents, coding standards, and best practices. Technical Skills Skills Requirements: Proficiency in programming languages such as Python for writing ETL scripts. Knowledge of data transformation techniques such as filtering, aggregation, and joining. Familiarity with ETL frameworks such as Apache NiFi, Talend, or Informatica. Understanding of data profiling, data quality, and data validation techniques. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Software Engineer - Investment ops at Incedo, you will be responsible for managing investment operations for clients. You will work with clients to understand their investment needs and manage operations that meet those needs. You will be skilled in investment management tasks such as portfolio management, trade processing, and performance measurement and have experience with investment management systems such as Bloomberg or Charles River. Roles & Responsibilities: Managing investment operations processes, including trade settlements, corporate actions, and cash management Ensuring compliance with regulatory requirements and internal policies Developing and maintaining investment operations documentation and policies Collaborating with other teams to implement process improvements Staying up-to-date with industry trends and best practices in investment operations. Technologies involved may include trading platforms, custodian systems, and investment management software. Technical Skills Skills Requirements: Knowledge of investment products such as equities, bonds, and derivatives Experience in managing investment operations processes such as trade settlements, portfolio accounting, and corporate actions Familiarity with investment management systems such as Bloomberg, Reuters, or FactSet Understanding of investment performance reporting and analytics Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Nice-to-have skills Qualifications Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Cloud Data Platform (GCP) Engineer at Incedo, you will be responsible for managing and optimizing the Google Cloud Platform environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in cloud computing platforms such as AWS or Azure and have experience with big data technologies such as Hadoop or Spark. You will be responsible for configuring and optimizing the GCP environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team to ensure that the GCP environment is secure and complies with relevant regulations. Roles & Responsibilities: Designing, developing and deploying cloud-based data platforms using Google Cloud Platform (GCP) Integrating and processing large amounts of structured and unstructured data from various sources Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Collaborating with other teams to ensure the consistency and integrity of data Troubleshooting and resolving data platform issues Technical Skills Skills Requirements: In-depth knowledge of GCP services and tools such as Google Cloud Storage, Google BigQuery, and Google Cloud Dataflow Experience in building scalable and reliable data pipelines using GCP services, Apache Beam, and related big data technologies Familiarity with cloud-based infrastructure and deployment, specifically on GCP Strong knowledge of programming languages such as Python, Java, and SQL Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Data Analyst at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Company Overview Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science & healthcare industries. Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests. Our Mission is to enable our clients to maximize business impact from technology by Harnessing the transformational impact of emerging technologies Bridging the gap between business and technology Role Description As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work closely with technical analysts, client stakeholders, data scientists, and other team members to ensure data quality and integrity while optimizing data storage solutions for performance and cost-efficiency. This role requires leveraging AWS native technologies and Databricks for data transformations and scalable data processing. Technical Skills Responsibilities Lead and support the delivery of data platform modernization projects. Design and develop robust and scalable data pipelines leveraging AWS native services. Optimize ETL processes, ensuring efficient data transformation. Migrate workflows from on-premise to AWS cloud, ensuring data quality and consistency. Design automations and integrations to resolve data inconsistencies and quality issues Perform system testing and validation to ensure successful integration and functionality. Implement security and compliance controls in the cloud environment. Ensure data quality pre- and post-migration through validation checks and addressing issues regarding completeness, consistency, and accuracy of data sets. Collaborate with data architects and lead developers to identify and document manual data movement workflows and design automation strategies. Nice-to-have skills Qualifications 7+ years experience with a core data engineering skillset leveraging AWS native technologies (AWS Glue, Python, Snowflake, S3, Redshift). Experience in the design and development of robust and scalable data pipelines leveraging AWS native services. Proficiency in leveraging Snowflake for data transformations, optimization of ETL pipelines, and scalable data processing. Experience with streaming and batch data pipeline/engineering architectures. Familiarity with DataOps concepts and tooling for source control and setting up CI/CD pipelines on AWS. Hands-on experience with Databricks and a willingness to grow capabilities. Experience with data engineering and storage solutions (AWS Glue, EMR, Lambda, Redshift, S3). Strong problem-solving and analytical skills. Knowledge of Dataiku is needed Graduate/Post-Graduate degree in Computer Science or a related field.

As a Technical Lead - Fullstack at Incedo, you will be responsible for developing and maintaining web applications using various front-end and back-end technologies. You will work with a team of developers and collaborate with stakeholders to deliver high-quality solutions. Your responsibilities will include designing, developing, and maintaining software applications, as well as troubleshooting and fixing issues. Roles & Responsibilities: Writing high quality code, participating in code reviews, designing systems of varying complexity and scope, and creating high quality documents substantiating the architecture. Engaging with clients, understanding their technical requirements, planning and liaising with other team members to develop technical design & approach to deliver end-to-end solutions. Mentor & guide junior team members, review their code, establish quality gates, build & deploy code using CI/CD pipelines, apply secure coding practices, adopt unit-testing frameworks, provide better coverage, etc. Responsible for teams growth. Technical Skills Skills Requirements: Experience in both front-end and back-end development Proficiency in at least one programming language such as Java, Python, or JavaScript Familiarity with front-end technologies such as HTML, CSS, and JavaScript frameworks like React or Angular Knowledge of back-end technologies such as databases, APIs, and server-side frameworks like Node.js or Spring Boot Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred