4623 Data Science Jobs - Page 14

Manager, Data Scientist, Pricing Strategy - Gurugram, Haryana, India Manager, Data Scientist, Pricing Strategy Manager, Data Scientist, Pricing Strategy About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences . Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world. Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution? Join us! As a Data Scientist within the Pricing Strategy team, you will play a pivotal role in driving data-driven decision-making and optimizing pricing strategies. You will leverage your expertise in data science and analytics to develop and implement dynamic pricing models, predictive and prescriptive analysis, ultimately contributing to revenue growth and market competitiveness. What youll do: Dynamic Pricing Model Development: Develop and implement advanced dynamic pricing models to optimize product pricing across various channels and markets. Predictive Analytics: Utilize predictive modeling techniques to forecast demand, market trends, and customer behavior, enabling proactive pricing adjustments. Prescriptive Analysis: Employ prescriptive analytics to identify optimal pricing strategies based on specific business objectives and constraints. Data Exploration and Analysis: Conduct in-depth data exploration and analysis to uncover valuable insights and inform pricing decisions. Model Evaluation and Refinement: Continuously evaluate and refine pricing models to ensure their accuracy and effectiveness. Collaboration: Collaborate with cross-functional teams (e.g., marketing, sales, finance) to align pricing strategies with overall business goals. Stay Updated : Stay abreast of the latest advancements in data science and pricing optimization techniques. What youll need: Masters degree or PhD in Data Science, Statistics, Computer Science, Economics, or a related field. A minimum of 3-4 years of relevant experience in the field of Data Science. Strong programming skills in Python or R, including proficiency in data manipulation, analysis, and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn). Experience with machine learning algorithms and techniques (e.g., regression, classification, clustering, time series analysis). Knowledge of statistical modeling and hypothesis testing. Experience with data warehousing and cloud computing platforms (e.g., AWS, GCP, Azure) is a plus. Excellent problem-solving and analytical skills. Ability to communicate complex technical concepts to both technical and non-technical audiences. Passion for data-driven decision-making and a continuous learner mindset. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We re dedicated to creating a welcoming and supportive culture where everyone belongs. Klook does not accept unsolicited resumes from any temporary staffing agency, placement service or professional recruiter ( Agency ). Klook will not be responsible for, and will not pay, any fees, commissions or other payments related to such unsolicited resumes. An Agency must obtain advance written approval from Klook s Talent Acquisition Team to submit resumes, and then only in conjunction with a valid fully-executed agreement for service and in response to a specific job opening for which the Agency has been requested to submit resumes for. Klook will not be responsible for, and will not pay, any fees, commissions or other payments to any Agency that does not have such agreement in place or does not comply with the foregoing. Alert me about jobs like this Upon clicking Apply, you will be redirected to the Klook Workday application form. Please do not close your browser. We have emailed you a code to verify your identity. Please check your spam/junk folder if you dont receive the email in your inbox. Please enter your validation code: Hold on, youre being redirected to the application form. About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Hong Kong SAR Hong Kong SAR About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... Sales & Business Development About Klook We are Asia s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences. Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong... We have emailed you a code to verify your identity. Please check your spam/junk folder if you dont receive the email in your inbox.

Job role Data Scientist (Generative AI) Lead Experience: 4 6 years | Location: Nagpur Role Summary: We re looking for a data-science leader who can turn raw data into clear insight and innovative AI products. You ll own projects end-to-end from framing business questions and exploring datasets to deploying and monitoring models in the cloud. Along the way you ll introduce generative-AI ideas such as chat assistants and retrieval-augmented search, steer a small team of data professionals, and work closely with product, engineering, and business stakeholders to deliver measurable value. Key Responsibilities Design and build predictive & forecasting models that drive measurable impact. Plan and run A/B experiments to validate ideas and guide product decisions. Develop and maintain data pipelines that ensure clean, trusted, and timely datasets. Lead generative-AI initiatives (e.g., LLM-powered chat, RAG search, custom embeddings). Package, deploy, and monitor models using modern MLOps practices in public cloud. Establish monitoring & alerting for accuracy, latency, drift, and cost. Mentor and coach the team, conducting code reviews and sharing best practices. Translate complex findings into clear, action-oriented stories for non-technical audiences. Ensure data governance and privacy across all projects, meeting internal and industry standards. Continuously evaluate new tools & methods, running quick PoCs to keep solutions cutting-edge. Core Skills & Experience Solid foundation in statistics, experiment design, and end-to-end ML workflows. Strong Python and SQL; proven record of moving models from notebook to production. Hands-on cloud experience (AWS, Azure, or GCP) with container-based deployment and CI/CD. Practical exposure to generative-AI projects prompt engineering, fine-tuning, or retrieval-augmented pipelines.

Experience: 5-10 Years Mode: WFO ( 5 Days ) Job Location: Bangalore Job Type: Full Time Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 5 - 10 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively. Department IT Department Role Functional

Job Title: Senior Manager Data Science Job Grade: G9A/B Function: Global Information Technology Sub-function: Data Science & Analytics Manager s Job Title: SGM, Data & Analytics Skip Level Manager s Title: AVP, Enterprise Applications Function Head Title: Chief Information Officer Location: Sun House, Mumbai No. of Direct Reports (if any) ~ up to 3 Areas of Responsibility At Sun Pharma, we commit to helping you Create your own sunshine by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community. Are You Ready to Create Your Own Sunshine? As you enter the Sun Pharma world, you ll find yourself becoming Better every day through continuous progress. Exhibit self-drive as you Take charge and lead with confidence. Additionally, demonstrate a collaborative spirit, knowing that we Thrive together and support each other s journeys. Job Summary: The role would work as an integral part of the Data & Analytics team at SUN Pharma. It involves leading and managing business critical data science projects and AI/ ML Initiatives. The role requires an understanding of business processes related to Pharma industry and data science and analytics, and the ability to communicate effectively to both technical and functional stakeholders. Position offers a significant opportunity for an all-round business understanding and impact working with the in-house teams as well as business and corporate functions as well as technology consultants and partners Key Responsibilities: For designated complex and business critical digital and technology based data & AI related projects, Building and expanding the Data Analytics CoE and Data Architecture for Global Use cases Clear understanding of the expected business outcome, business value and specific outputs / deliverables Managing stakeholders and expectations from use of data science and analytics Working in tandem with Data guardians from different functions, in-line with their requirements and vision Monitoring any proof of concept for new requirement, coordinating with involved stakeholders and partners, ensuring timely completeness for the objectives pre-decided Planning benefits realization for Data Science projects and execution strategy Reusability of data streams, wherever applicable, to eliminate duplication in data foot print Managing a team of data engineers, cloud architects, MLOps engineers and Database engineers Structuring delivery team organization, managing the engagement with relevant partner ecosystem Managing CI-CD pipelines and building ML products for internal teams Managing budgets, managing scope, time and quality, measuring and managing change Targeted communication, orchestration and governance System/solution usage and adoption, benefit realization and measurement Travel Estimate Mostly, within India; Job Scope Internal Interactions (within the organization) Across Functions, Global Function Heads, CEOs, MD s Office External Interactions (outside the organization) Technology solution / service delivery partners Geographical Scope Global Financial Accountability (cost/revenue with exclusive authority) Delivering data analytics. ML & AI Projects as per approved cost. Job Requirements Educational Qualification B. Tech / MBA Specific Certification Skills Knowledge of Data Science, ML, Statistical Techniques, Data Modelling, Data Transformation, Use of Cloud Hyperscaler environment. Use of cloud based tools for automating ML pipelines and deploying cloud based models for end users Ability to understand and interpret complex datasets and formulate means for merging disparate data sources Strong fundamentals in cloud services and data lake architecture. Work involves handling sensitive data and confidential information requiring discretion on the role holders part. Ability to work under deadlines and comfortable with certain level of ambiguity Ability to multi task, successfully adapt to changes in work priorities. Should be comfortable to operate at a strategic level, and also have an eye for detail. Should be a self motivated Experience 7-12 years (preferably, IT Services / Pharma Industry Experience, from organizations of repute) Experience in handling data/ data models for different functions Your Success Matters to Us At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Let s create a brighter future together!

This website uses cookies to ensure you get the best experience. Talent Smart and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics and marketing purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , that is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. These cookies are used to make advertising messages more relevant to you. In some cases, they also deliver additional functions on the site. Decline all non-necessary cookies Experience: 10-15 Years Mode: WFO ( 5 Days ) Job Location: Bangalore Job Type: Full Time Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 10- 15 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively. Role INR2,500,000 - INR4,000,000 About Talent Smart Talent Smart Soft Solutions is a software development company that offers IT services and solutions to various sectors in India, both public and private. We partner with Fortune 50 companies and startups alike, helping them digitalize, strengthen, and revolutionize their businesses. Our professionals are dedicated to supporting clients in shaping their future through our comprehensive software development services.

About Eka Care Eka Care is building the Healthcare OS for India and beyond - a GenAI-powered platform that empowers health tech startups, hospitals, clinics, and patients with connected, intelligent care solutions. We re trusted by 50K+ doctors, 30M+ patients, and 10K++ clinics. Our platform is deeply integrated with India s ABDM infrastructure and enables modern, seamless healthcare journeys through smart EMRs, PHRs, APIs, and voice/AI interfaces. We re looking for a principal product designer to shape the future of how healthcare is experienced across patient apps, doctor tools, and enterprise systems. Key Responsibilities: 1. Design Strategy & Vision Translate Eka Care s platform goals into a cohesive, scalable user experience vision Lead design for multiple personas: doctors, patients, hospitals, and digital health partners Define and evolve our design language and experience principles in line with GenAI-powered systems 2. Product & Platform Design Leadership Drive product design across native mobile apps (iOS/Android), web dashboards, and APIs Shape the experience of our EMR, PHR, and developer-facing tools (SDKs, integrations) Balance usability with clinical compliance, data density, and real-world constraints (offline, multilingual) 3. Design Systems & Execution Excellence Own and scale Eka s Design System for consistency, speed, and platform integrity Collaborate with engineering to ensure robust design QA, handoff, and native behaviour patterns Ensure accessibility, responsiveness, and localisation readiness across flows 4. Team Leadership & Cross-Functional Collaboration Lead and mentor a growing team of product designers, visual/brand designers Partner closely with product, data science, engineering, and growth to shape holistic user journeys Establish rituals for critique, feedback, and user-centred iteration at all levels Qualifications / Requirements: 10+ years of experience in product design, with at least 3+ years in a leadership role Proven expertise in designing platforms, not just products, multi-role, multi-surface systems Deep understanding of mobile-first design, native app behaviour patterns, and offline design principles Strong grasp of design systems and component-based thinking Experience working with GenAI or AI-powered tools is a bonus Empathy for both clinical professionals and patients Ability to thrive in fast-paced, ambiguous environments and scale design orgs thoughtfully Bonus Points Worked in healthtech, SaaS, fintech, or developer platforms Familiarity with ABDM or regulated healthcare workflows Built tools used by 10k+ daily active users Experience embedding AI/ML into user experiences Full-Time Employee Benefits: Insurance Benefits - Medical Insurance, Accidental Insurance Parental Support - Maternity Benefit, Paternity Benefit Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Salary Advance Policy

We are seeking a skilled and driven Healthcare Data Scientist to join our analytics and digital health team. The role involves working on large-scale healthcare datasets to derive actionable insights that support clinical research, hospital operations, public health interventions, pharmacovigilance, or drug development. Responsibilities: Analyze healthcare datasets (EHRs, clinical trial data, insurance claims, registries, real-world data) to identify trends and build predictive models Apply machine learning and statistical methods to support diagnostics, risk scoring, patient stratification, treatment response modeling, etc. Collaborate with domain experts to develop data pipelines and health analytics dashboards Design, validate, and interpret predictive models and classifiers for health outcomes, cost analysis, or population health Use natural language processing (NLP) to extract data from unstructured clinical text (e.g., notes, pathology reports) Communicate results to stakeholders through dashboards, reports, and visual storytelling Qualification: B.Tech/M.Tech / M.Sc / MBBS / BDS / M.Pharm / Pharm.D / MPH / Ph.D in Life Sciences, Computer Science, Biostatistics, Bioinformatics, Public Health, or related fields Certifications in Data Science, Machine Learning, or Health Informatics preferred Interested to apply can share CV or call/whatsapp to 9384592766

You will be joining KPMG in India, a professional services firm affiliated with KPMG International Limited since its establishment in August 1993. Leveraging a global network of firms, we provide services to national and international clients across various sectors with offices in multiple cities across India. As part of the Financial Crimes specialist team, your role will involve providing solutions to BFSI clients through model validation testing for AML risk models and frameworks, sanctions screening, and transaction monitoring systems. We are seeking individuals with advanced data science and analytics skills to support our team in addressing the challenges associated with financial crime. Your responsibilities will include but are not limited to supporting functional SME teams in building data-driven Financial Crimes solutions, conducting statistical testing of screening matching algorithms and risk rating models, validating data models of AML systems, and developing AML models to detect suspicious activities and transactions. You will collaborate with cross-functional teams to analyze data for model development and validation, prepare detailed documentation and reports, and assist in feature engineering for automation of AML-related investigations. To qualify for this role, you should have a Bachelor's degree from an accredited university, at least 3 years of hands-on experience in Python with knowledge of frameworks like Java, Fast, Django, Tornado, or Flask, experience with Relational and NoSQL databases, proficiency in BI tools such as Power BI and Tableau, and an educational background in Data Science and Statistics. Additionally, expertise in machine learning algorithms, statistical analysis, and familiarity with regulatory guidelines for AML compliance are essential. Preferred qualifications include experience in AML model validation, statistical testing of risk models, and familiarity with AML technology platforms. Hands-on experience with data analytics tools like Informatica and Kafka is also desirable. If you are looking to contribute your advanced analytics skills to combat financial crime and support leading financial institutions in adhering to industry best practices, this role offers you the opportunity to work on challenging projects and develop professionally in a dynamic environment.,

As an Analyst-Regulatory Compliance Artificial Intelligence and Analytics at HSBC, you will play a crucial role in promoting a culture of data-driven decision-making and managing regulatory risk effectively through the adoption of data science. Your responsibilities will include reporting RC AI & Analytics scorecard, aligning decisions with the long-term vision, and engaging stakeholders to enhance understanding and adoption of data science products. Collaboration with various analytics teams across the bank, sharing insights, and fostering an open and agile delivery culture will be key aspects of your role. You will also work closely with stakeholders within IT and Product management to deliver innovative analytical solutions that meet business demands. Additionally, ensuring the effective operation of the control framework and establishing the function as a valuable asset in the bank's response to compliance risk will be part of your responsibilities. To excel in this role, you should possess strong interpersonal and communication skills, experience in managing global teams, and the ability to work independently on complex business problems while keeping stakeholders informed. Your client-focused approach, relationship-building skills, and analytical abilities will be essential for success. Effective communication, sound judgment, critical thinking, and the ability to manage multiple tasks with continual prioritization are also required. If you are looking to contribute to impactful decision-making, drive innovation, and play a pivotal role in enhancing regulatory compliance through data science at HSBC, this opportunity is for you. Join HSBC and be part of a team where your skills and expertise will be valued, and where you can make a real difference.,

You should have a solid understanding and working experience with the Azure cloud platform fundamentals, including Azure ML, Functions, Blob Storage, ML Studio, AI Foundry, Azure Pipelines, AKS, and Functions. Experience in Python environment setup, dependency management (e.g., pip, conda), and API integrations (API Keys, OAuth) is required. Exposure to NLP, machine learning, or data science projects is preferred. Awareness of prompt engineering principles and how LLMs (like GPT, Claude, or LLaMA) are used in real-world applications is a plus. Understanding of transformer architecture and how it powers modern NLP, as well as exposure to AI Code Assist tools, is beneficial for this role. Virtusa values teamwork, quality of life, and professional and personal development. Join a global team of 27,000 professionals who care about your growth, offering exciting projects, opportunities, and work with state-of-the-art technologies throughout your career with the company. At Virtusa, collaboration and a team environment are highly valued, providing a dynamic place for great minds to nurture new ideas and foster excellence.,

As a member of the R&A COE team at EY, you will be part of a dynamic group working on various Data Science and Machine Learning projects. Your role will involve utilizing your experience in data science projects and demonstrating advanced programming skills in SAS, R, or Python. You will be expected to independently understand and address data science problems using techniques such as linear regression, logistic regression, random forest, support vector machines, ANOVA/ANCOVA, time series modeling, segmentation, decision tree, clustering, recommendation engines, and forecasting. In this position, you will collaborate with a diverse team to contribute to Decision Sciences implementation projects. Your responsibilities will include developing analytical strategies for businesses, communicating with onsite coordinators, and presenting model results to clients. Timely completion of assigned tasks and regular status reporting will be essential components of your role. To be successful in this role, you should hold a degree in BE/BTech/MCA/MBA/CA with 0-3 years of experience in Information Management/Analytics. Having an understanding of Business Intelligence & Data Visualization concepts and experience with BI/Visualization tools will be advantageous. Additionally, you should possess excellent communication skills, a collaborative mindset, and a familiarity with software development best practices. If you have a background in the Banking/Finance domain, prior experience in client-facing roles, and strong written and verbal communication skills, it will be considered as additional assets. By joining EY, you will be part of a global organization dedicated to building a better working world through innovation, collaboration, and a commitment to creating value for clients, society, and the planet.,

Are you seeking an exciting opportunity to be part of a dynamic and growing team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business team in providing a comprehensive perspective. As a Data Scientist Analyst in Asset and Wealth Management Risk within our AWM Risk team, you will play a key role in innovating and implementing data-driven risk analytics solutions through advanced data science and machine learning techniques. Your contributions will enable us to enhance our operations, strengthen our core values, and expand our analytical capabilities to support the growth of Newton's platform. JPMorgan Asset & Wealth Management Risk (AWM) is looking for a skilled Risk professional with quantitative analysis expertise to join our AWM Risk Analytics team. This team, part of AWM Risk Management, consists of innovative professionals focused on quantitative and market risk. You will be involved in developing risk measurement methodologies, analytics calculations, and maintaining the AWM Risk System (Newton) used by AWM Risk Management and Front Office stakeholders. Responsibilities: - Collaborate with peers and stakeholders to identify opportunities for using Data Science to drive value and enhance security and portfolio risk analytics. - Lead enhancements in AI/ML and statistical techniques for data and analytics validation. - Design and deliver scalable solutions using cutting-edge technologies like AI and LLMs. - Analyze large data sets, follow best practices for data model and architecture, and contribute to risk methodology enhancement. Required Qualifications: - Minimum 6 months of experience as a Data Scientist or in a related quantitative role. - Strong quantitative skills, attention to detail, ability to multitask, and work independently. - Excellent communication skills. - Proficiency in statistics, AI/ML techniques, and problem-solving. - Knowledge of programming languages such as SQL, Python, ML, AWS Sagemaker, TensorFlow, etc. Preferred Qualifications: - Experience in financial markets or quantitative analysis within Risk Management or Front Office. - Familiarity with asset pricing, VaR backtesting, and model performance testing.,

As a Senior Specialist Business Consultant (AI - Data Consultant) at NiCE, you will have the exciting opportunity to focus on delivery excellence and drive increased adoption and bottom-line ROI from our AI solutions portfolio within the NiCE AI Center of Excellence Organization. In this role, you will work closely with client stakeholders and NiCE Solution Consultants to service clients in AI, self-service, contact center, and process improvement. Leveraging data insights, you will help clients realize value and enhance system adoption, fostering long-term relationships with client stakeholders and NiCE Business Consultants. Your role will emphasize data analytics, strategy, and processing, requiring high individual accountability and a commitment to exceeding the needs of business partners. Your responsibilities will include collecting and interpreting large data sets of customer KPIs, identifying patterns and trends, and providing actionable recommendations to business executives. You will create models of data correlation between business KPI improvement and adoption of NiCE solution capabilities, collaborate with internal Business Consultants to define account strategies, and enhance consulting value achievement methodology through scalable and repeatable models and processes. Additionally, you will develop continuous improvement programs, design and deploy automated BI solutions, provide deep insights and recommendations based on data analysis, and communicate complex analysis to stakeholders. To be successful in this role, you should have a Bachelor's degree in Business, Computer Science, Mathematics, or a related field, along with 12+ years of relevant professional experience in BI, data science, statistical analysis, machine learning, or enterprise reporting. Advanced SQL and Python skills are preferred, as well as experience with Power BI and Tableau. Your domain experience in contact center analytics, exceptional attention to detail, competency in Microsoft Excel, and ability to work independently in a dynamic environment will be key to your success. Strong communication, problem-solving, negotiation, and influencing skills are essential, along with the ability to work with clients and business partners directly. Joining NiCE means being part of a global company that values innovation, growth, and continuous learning. As a NiCEr, you will work in a fast-paced, collaborative, and creative environment with endless internal career opportunities. The NiCE-FLEX hybrid model offers flexibility with 2 days of office work and 3 days of remote work each week, fostering teamwork, collaborative thinking, and innovation. If you are passionate, innovative, and ready to push boundaries, NiCE may be the perfect place for you to thrive and grow.,

The role you will be taking on involves defining, architecting, and leading the delivery of machine learning and AI solutions. Your responsibilities include supporting demand generation through solution development, collaborating with sales and consulting teams, and creating solutions for proactive demand generation. Additionally, you will collaborate with colleges and institutes for recruitment and joint research initiatives. Revenue generation will be a key focus as you work on building and operationalizing machine learning and deep learning solutions. This will involve developing models for decision augmentation or automation solutions, evaluating ML deployment options, and integrating model performance management tools into the current business infrastructure. As part of team management, you will play a crucial role in resourcing by supporting the recruitment process to onboard the right resources. Talent management will also be a priority, including onboarding and training team members, managing team attrition, and conducting timely performance reviews. Employee satisfaction and engagement initiatives will be led by you to ensure a positive work environment. In terms of performance measurement, your success will be evaluated based on demand generation, revenue generation through delivery, and capability building & team management. Key performance parameters include order booking, timeliness, customer success stories, customer use cases, and percentage trained on new skills, team attrition. The mandatory skill required for this role is Data Science, and the ideal candidate should have 5-8 years of experience in the field. Join our team at Wipro and be part of a modern digital transformation partner that values reinvention and constant evolution. We are looking for individuals inspired by reinvention, who are eager to grow and evolve with us. Come to Wipro and realize your ambitions in a purpose-driven environment that encourages personal and professional development. Applications from people with disabilities are explicitly welcome.,

As the Director of Marketing and Customer Analytics at Tata Digital in Gurugram, you will lead the efforts in leveraging data and analytics to optimize marketing strategies, enhance customer segmentation, improve user experiences, and drive growth across Tata Digital Platforms. Your role will be pivotal in shaping marketing and customer engagement strategies to keep the company ahead of the competition. You will be responsible for developing and executing a comprehensive data and analytics strategy to support marketing and customer engagement efforts. This includes overseeing the collection, cleansing, and secure storage of customer data to ensure quality. Leveraging data to create and refine customer segments for personalized and targeted marketing campaigns will be a key aspect of your role. Analyzing the performance of marketing campaigns, providing insights for improvement, and optimizing spending to maximize ROI will also be part of your responsibilities. Utilizing data analytics to gain insights into customer behavior, preferences, and trends to enhance customer experiences will be crucial. You will develop clear and actionable reports, dashboards, and visualizations to communicate insights to cross-functional teams and stakeholders. Collaboration with Marketing, Product Development, and IT teams to drive data-driven initiatives will also be essential. Qualifications: - Bachelor's degree in Engineering, Data Science, Statistics, or a related field; Master's degree preferred - Proven experience in data analytics, customer analytics, or related roles, with at least 2 years in a leadership position - Strong knowledge of data analytics tools and software (e.g., Adobe Analytics, Tableau, R, Python, etc.) - Proficiency in customer segmentation, A/B testing, and marketing performance metrics - Excellent leadership and team management skills - Exceptional communication and presentation abilities - Strategic thinking and problem-solving capabilities - Deep understanding of e-commerce and digital marketing trends.,

In this role, you're expected to provide an integrated end-to-end credit underwriting, identification, measurement, management, monitoring, and reporting for wholesale credit businesses across the enterprise. The ICM In-Business Quality Assurance function (QA) verifies that established standards and processes are followed and consistently applied. You will execute and participate in the Quality Assurance Reviews (QARs), providing feedback, insights, and observations on any deficiency and areas of improvement. As the ICM In-Business Quality Assurance Data Analytics Vice President, you will engage with the management of the respective ICM business area, Independent Risk, and critical partner stakeholders and regulators. You will work closely with the In-Business Quality Assurance Head of Data Analytics to set the global strategy and lead the implementation of a robust Data analytics and testing program for the Quality Assurance function related to Wholesale Credit Risk (WCR) data governance. This role requires hands-on experience in designing, planning, prototyping, productionizing, deploying, maintaining, and documenting reliable and scalable data science solutions. Additionally, you will be responsible for deriving concrete insights from data, qualifying business impact, and monitoring and analyzing model performance and data accuracy. As a successful candidate, you ideally have relevant experience in data analytics, Wholesale Credit Risk, and leadership skills. You should possess strong communication skills, the ability to collaborate effectively with stakeholders at all levels, and a good understanding of risk and control framework in banks. You should also have solid organizational skills, a logical and methodical mindset, and the ability to work under pressure while managing time and priorities effectively. Your technical skills should include coding knowledge and experience with programming languages like Python, Java, C++, and experience working with and manipulating large sets of data. A Bachelors or Masters degree in a quantitative or equivalent field is required, along with proficiency in data analysis tools like SQL, Python, SAS, R, Alteryx, Splunk, and visualization tools like Tableau, Qlikview, MS Power BI. If you have a drive to learn and master new technologies, excellent problem-solving skills, and clear communication abilities, you are encouraged to apply for this role. This position offers an opportunity to lead complex Quality Assurance work, provide effective challenge on data and credit processes, and partner with stakeholders to drive sustainable remediation.,

You will be joining Vidyaa Vikas College of Engineering and Technology (VVCET) as a Professor of Computer Science and Engineering based in Tiruchengodu. Your primary responsibilities will include developing and delivering curriculum, conducting research, mentoring students, and keeping abreast of the latest advancements in the field. Additionally, you will advise students, collaborate with colleagues on academic projects, and actively engage in departmental and college activities. To excel in this role, you must possess expertise in Computer Science and Programming, along with experience in Curriculum Development. Knowledge of Data Science and Cybersecurity is essential. Strong written and verbal communication skills are a must, and a Doctorate degree in Computer Science, Engineering, or a related field is required. Prior teaching experience is preferred, and the ability to inspire and mentor students will be crucial for your success at VVCET.,

Pickl.AI (TransOrgs education brand) is seeking an instructor who is well-versed in data science/data engineering. As an enthusiastic and creative individual, you will have the opportunity to delve into various aspects of Machine Learning, embrace diverse responsibilities, and demonstrate complete ownership of your assignments. Your responsibilities will include designing and conducting training programs on data science and data engineering for students at Pickl.AI partner institutions. You will be tasked with educating and guiding students on a range of topics such as data analysis, machine learning, statistics, data visualization, and other relevant subjects. It will be your responsibility to craft instructional materials like lesson plans, presentations, assignments, and assessments. Staying informed about the latest advancements in data science is crucial, and you will be expected to integrate new trends into the curriculum. Practical case studies should be integrated into your teaching to enhance the learning experience. Additionally, you will offer support to students throughout their learning journey, including responding to queries and providing feedback on assignments and projects. Collaboration with fellow instructors and team members to refine the curriculum and training programs will be essential. Participation in meetings and training sessions to enhance instructional techniques is encouraged. Maintaining accurate records of student attendance, progress, and grades is also part of the role. The ideal candidate should possess a Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field. Proficiency in data science concepts, techniques, and tools is essential. Strong presentation and communication skills are highly valued. The ability to work both independently and collaboratively is crucial. Prior experience in teaching or mentoring students in a classroom or online environment is advantageous. A genuine passion for teaching and facilitating learning is a key requirement. TransOrg Analytics, a pioneer in machine learning and data science consulting, boasts over a decade of expertise. Pickl.AI serves as the educational arm of TransOrg Analytics. For more information, please visit https://pickl.ai and www.transorg.com.,

As a Data Analytics and Data Science Trainer, you will be responsible for developing and delivering comprehensive training programs aimed at professionals seeking to enhance their skills in data analysis, statistical methods, and machine learning. Your role will involve combining technical expertise with exceptional teaching abilities to create engaging learning experiences that effectively translate complex concepts into practical skills. Your key responsibilities will include designing, developing, and delivering training courses that cover a range of topics such as data analytics, statistics, data visualization, and machine learning. You will be tasked with creating hands-on exercises, projects, and assessments to reinforce learning outcomes, as well as adapting training content and delivery methods to cater to different learning styles and skill levels. It will be essential for you to stay updated with emerging trends and technologies in the field of data science and analytics, evaluate training effectiveness based on participant feedback, and provide mentorship and guidance to learners beyond formal training sessions. Collaboration with subject matter experts to ensure the technical accuracy of training materials, as well as developing supplementary learning resources like documentation, guides, and reference materials, will also be part of your responsibilities. To be successful in this role, you should hold a Bachelor's degree in Statistics, Computer Science, Mathematics, or a related field, with a Master's degree being preferred. You should have at least 3 years of practical experience in data analytics, data science, or a related field, along with a proven track record of developing and delivering technical training. Strong programming skills in Python or R, with a focus on data analysis libraries, are required, as well as experience with SQL, data visualization tools, and machine learning frameworks. Excellent communication and presentation skills will be crucial in explaining complex concepts clearly, and knowledge of adult learning principles and instructional design techniques is preferred. Experience with learning management systems and virtual training delivery platforms will also be beneficial. Preferred skills for this role include industry certifications in data science, analytics, or machine learning, experience in mentoring junior data professionals, knowledge of business intelligence tools such as Tableau or Power BI, experience with big data technologies like Hadoop or Spark, and a background in a specific industry vertical like finance, healthcare, or retail. In return, we offer a competitive salary and benefits package, continuous professional development opportunities, a collaborative and innovative work environment, flexible work arrangements, and the opportunity to shape the data skills of future professionals. We value diversity of thought and experience and encourage applications from candidates of all backgrounds who are passionate about data education.,

As a Product Manager at BigStep, you will be responsible for leading the development and execution of cutting-edge Generative AI, AI/ML, and data-driven products. With over 6 years of experience in this field, your role will require strong product leadership skills, technical fluency, and the ability to collaborate with cross-functional teams to drive innovation and deliver high-impact solutions across various industries. Your key responsibilities will include defining and driving the product vision, roadmap, and execution strategy for Gen AI/ML products. You will collaborate with engineering, data science, UX, and business teams to translate complex problems into impactful AI solutions. Additionally, you will lead the end-to-end product lifecycle from discovery and experimentation to launch, iteration, and scale. Your role will also involve guiding API development and system integrations to build scalable, intelligent product experiences and managing and prioritizing the product backlog in JIRA. To excel in this role, you should have 9-11 years of product management experience with a focus on AI/ML or Generative AI domains. You should have a proven track record of working with AI, Machine Learning, LLMs, and NLP teams in a product leadership capacity. A solid understanding of the AI/ML product development lifecycle, experimentation, data analytics, and model evaluation is essential. Experience with vector databases, retrieval-augmented generation (RAG), prompt engineering, or agentic workflows would be a strong plus. Proficiency in Agile methodologies, JIRA, and sprint planning processes is also required. You should have strong analytical skills and the ability to use data-driven insights to inform decision-making. Excellent written and verbal communication skills are crucial for aligning and influencing stakeholders across technical and non-technical teams. Operating in a fast-paced, research-oriented environment with evolving priorities should be comfortable for you. If you are passionate about driving innovation in AI/ML products, collaborating with diverse teams, and delivering high-impact solutions, this role at BigStep is the perfect opportunity for you.,

The Data Science Analyst role at Citi within the GWFO team is a developing professional position that involves applying specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. The main responsibilities include identifying opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, the individual in this role will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications, while collaborating with cross-functional stakeholders. As a Data Science Analyst at Citi, you will be expected to: - Gather and process operational data from various cross-functional stakeholders to examine past business performance and identify areas for improvement. - Apply machine learning techniques to identify data patterns and trends and provide insights to enhance business decision-making capabilities in various areas. - Develop and implement machine learning models for predictive analytics, forecasting, and optimization. - Design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. - Experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. - Develop tools and techniques to evaluate the performance and impact of AI solutions. - Translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies and effectively communicate findings to business partners and senior leaders. - Continuously explore and evaluate new data sources, tools, and capabilities, focusing on cutting-edge AI technologies to improve processes and strategies. - Collaborate closely with internal and external business partners to build, implement, track, and enhance decision strategies. Skills and Experience: - 5+ years of relevant experience in data science, machine learning, or a related field. - Advanced process management skills, organized and detail-oriented. - Curiosity about learning and developing new skill sets, particularly in the area of artificial intelligence. - Positive outlook with a can-do mindset. - Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers. - Experience with statistical modeling techniques, including regression, classification, and clustering. - Experience building GenAI solutions using LLMs and vector databases. - Experience with agentic AI frameworks, such as Langchain, Langraph, MLOps. - Experience with data visualization tools such as Tableau or Power BI. - Other skills required include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. Education: - Bachelor's/University degree or equivalent experience in a quantitative field such as computer science, statistics, mathematics, or engineering. Master's degree preferred. Working at Citi offers more than just a job - it means joining a global family of dedicated individuals where you can grow your career, contribute to your community, and make a real impact.,

As a Risk & Credit Manager, you will be responsible for leading our credit risk strategy, adjudication processes, and decision models. Your expertise in credit policy and underwriting, combined with hands-on experience in advanced risk analytics and machine learning algorithms, will be crucial in strengthening our risk management framework. You will drive data-driven decision-making and implement scalable credit strategies that balance growth with robust portfolio quality. Your key responsibilities will include overseeing and improving credit adjudication policies, designing and monitoring machine learning-based credit risk models, building portfolio monitoring dashboards, and using actionable insights from credit performance data to refine policy and product features. Collaboration with cross-functional teams and ensuring compliance with internal risk policies and external regulatory guidelines will also be a part of your role. To be successful in this role, you should have 5-10 years of experience in Credit Risk, Underwriting, or Credit Policy roles within NBFCs, Banks, or Fintechs. Hands-on experience in designing and implementing credit adjudication frameworks, a good understanding of machine learning algorithms, exposure to global best practices in credit risk, and strong analytical skills are required. Additionally, you should have a proven track record of process improvement initiatives and excellent stakeholder management and communication skills. Joining our team will provide you with the opportunity to work on cutting-edge credit products, build next-generation risk management frameworks, and experiment with new data sources, tools, and algorithms in a collaborative and merit-driven work culture. If you are a graduate/postgraduate in Finance, Statistics, Economics, or a relevant quantitative field and looking for a Full-time, Permanent role with benefits such as flexible schedule, health insurance, leave encashment, paid sick time, paid time off, and provident fund, we look forward to having you on board.,

Tiger Analytics is a global leader in AI and analytics, assisting Fortune 1000 companies in overcoming their most challenging obstacles. Offering comprehensive AI and analytics services and solutions, we empower businesses to achieve real outcomes and value on a large scale. Our mission is to expand the horizons of what AI and analytics can accomplish, aiding enterprises in navigating uncertainty and decisively moving forward. Our ultimate goal is to provide certainty in shaping a better tomorrow. With a team of over 4000 technologists and consultants across the US, Canada, the UK, India, Singapore, and Australia, we collaborate closely with clients in various sectors such as CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders are recognized in the Top 10 and 40 Under 40 lists, showcasing our commitment to innovation and excellence. As a Great Place to Work-Certified organization (2022-24) and acknowledged by prominent analyst firms including Forrester, Gartner, HFS, Everest, ISG, and others, we have been featured in lists of the Best and Fastest Growing analytics firms by Inc., Financial Times, Economic Times, and Analytics India Magazine. About the role: Tiger's expanding Banking Financial Services vertical is seeking self-motivated AI/ML/Data Science and consulting professionals with domain expertise in the Banking and Financial Services sector and robust technical skills for a challenging role in Marketing and Customer Analytics. The responsibilities of this role include collaborating with diverse clients to analyze, evaluate, and propose Marketing analytics solutions and Campaign performance measurement plans. Additionally, the position entails managerial duties such as task setting and review, quality control, as well as supervising, mentoring, and coaching analysts within the team. As part of the broader Financial Services practice, you will have the opportunity to address a wide range of pivotal business challenges across various work streams. Engaging with clients and client partners to grasp their business context, you will work alongside a team of data scientists and engineers. Location: Chennai Experience: 2 to 8 years Responsibilities: 1) Drive data-driven insights to optimize marketing strategies, enhance customer targeting, and improve campaign performance 2) Analyze large datasets, monitor key performance metrics, and offer actionable insights to steer Marketing decisions supporting business growth, customer engagement, and overall marketing for Banking's Retail and Commercial products 3) Create and maintain dashboards and reports for tracking key performance indicators (KPIs) and business metrics 4) Collaborate with clients and stakeholders to aid in establishing the marketing analytics roadmap and presenting the analytical insights Required Qualifications, Capabilities, and Skills: 1) Degree in Accounting, Commerce, Economics, Statistics / Mathematics, or Marketing 2) Post-Graduate qualifications in finance, economics, or accounting, with a focus on Marketing Desired Experience: 1) Proficiency in the Banking sector (Retail or Commercial banking) and banking products 2) Background in Marketing analytics to drive marketing decisions for the bank 3) Advanced skills in SQL and experience with large, complex datasets 4) Strong expertise in Excel reporting, data visualization tools (Tableau, Power BI) 5) Experience in leading teams and managing direct client stakeholders Desirable Skills: 1) Familiarity with marketing and financial metrics (CPL, CPA, CLTV, ROI, NPV, etc.) and optimizing marketing campaigns based on performance data 2) Hands-on Development experience in Python/Py-Spark/SAS 3) Experience with advanced analytics techniques such as regression analysis and customer segmentation to extract actionable insights from customer and marketing data,

As a member of the Flipkart team focused on GenZ, you will be at the forefront of the company's strategic growth bet on Video & Live Commerce. The core pillars of this capability are enhancing user experience, empowering creators, and encouraging seller/brands participation. Your primary goal will be to videofy the Flipkart app across various discovery points such as homepage, S&B, and Product Page, while also creating a dedicated discovery destination where users can explore inspirational content akin to TikTok or Instagram reels. You will be instrumental in developing a next-generation Live streaming experience that supports concurrent livestreams for millions of users. Additionally, your role will involve leading the development of cutting-edge systems aimed at enhancing personalization through relevant product discovery for each user. Leveraging GenAI technology, you will drive automated quality control of Images, Videos, Creators, and content to deliver a more personalized shopping experience. Your responsibilities will include driving hyper-personalization of the user experience using Machine Learning and Data Science techniques at various stages of the funnel. By utilizing data-driven insights and a growth mindset, you will continuously strive to enhance user experience at scale, ensuring the delivery of video reels with minimal size compression and latency. From a technical perspective, you will work with a cutting-edge tech stack that includes technologies and frameworks like Kafka, Zookeeper, Apache Pulsar, Spark, Bigtable, HBase, Redis, MongoDB, Elasticsearch, Docker, Kubernetes, and various Video technologies such as OBS, RTMP, Jitsi, and Transcoder. Your role will involve collaborating with diverse stakeholders to deliver scalable and quality technology solutions, while also facilitating platform solutions that extend beyond your team to the wider ecosystem. As an Engineering Manager (EM), you will lead a team of engineers across different levels, guiding them towards realizing Flipkart's vision. You will be responsible for setting the direction and long-term vision for the team, partnering with product, business, and other stakeholders to bring this vision to life. Your role will involve providing technical leadership, creating clear career paths for team members, attracting and retaining top talent, driving strategy and vision, and fostering a strong team culture of responsiveness and agility in execution. Overall, as a key member of the Flipkart team, you will play a crucial role in driving innovation, personalization, and growth in the realm of Video & Live Commerce, while also contributing to the technical excellence and strategic direction of the organization.,

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),