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Job RequirementsEducation* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience* 5 - 7 years for Data Scientist* Relevant working experience in a data science/advanced analytics roleBehavioural Skills* Delivery Excellence* Business disposition* Social intelligence* Innovation and agilityExperience* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)* Microsoft Office applications (MS Excel, etc.)Roles & ResponsibilitiesAnalytics & Strategy1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
Data Scientist support team and Global operations. The ideal candidate will be responsible for developing and maintaining dashboards, analysing data patterns, and forecasting business trends to drive data-based decision-making.
In this role, you will lead the innovation and support of our dynamic pricing program, directly impacting growth, profitability, and overall efficiency.
We are looking for a customer-focused & business-oriented Data Scientist who will be responsible for conducting analyses using advanced statistics and data mining techniques to enable better decision-making.
Position:ML EngineerJob type:Techno-FunctionalPreferred education qualifications: Bachelor/ Master's degree in computer science, Data Science, Machine Learning OR related technical degreeJob location:IndiaGeography:SAPMENARequired experience:6-8 YearsPreferred profile/ skills:
Job objectives:Design, develop, deploy, and maintain data science and machine learning solutions to meet enterprise goals. Collaborate with product managers, data scientists & analysts to identify innovative & optimal machine learning solutions that leverage data to meet business goals. Contribute to development, rollout and onboarding of data scientists and ML use-cases to enterprise wide MLOps framework. Scale the proven ML use-cases across the SAPMENA region. Be responsible for optimal ML costs.Job description:
Work with cross-functional & cross-regional teams for data analysis, monitoring and forecasting, creating the logic for and implementing strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders to ensure we deliver the best possible customer experience.
You will build and mentor a team of data scientists and machine learning engineers, collaborating closely with cross-functional teams to integrate AI models and analytics tools into our ecosystem. This role involves driving innovation in how we use AI and machine learning to automate and optimize the organisation's strategies.
Total Exp- 6+yearsKey Responsibilities:
Required Skills & Qualifications:
Good to Have:
This role leads the Bangalore R&D site, driving strategy, execution, and team growth across software and product development. It's a unique opportunity to shape the site's vision, build a high-performing leadership team, and deliver impactful innovations aligned with global goals.
We're seeking a highly experienced Applications Delivery Head to lead global RUN service operations and oversee tech, data, and digital transformation initiatives. This role demands strong stakeholder management, vendor coordination, and service optimization in a dynamic, hands-on environment based in Mumbai.
The GM Digital IT - Sales & Marketing Solutions will drive the digital transformation of sales processes,including Lead Management Systems, CRM, and customer engagement platforms, by leveraging automation, AI, and analytics.
The Head of Delivery - Manufacturing Domain is a senior leadership role responsible for managing a $70M+ portfolio, ensuring delivery excellence, and driving strategic growth across manufacturing clients. This position requires deep domain expertise, strong technical knowledge in digital technologies, and a proven track record in leading large teams and complex programs.
The AVP - Technical Engineering is responsible for leading the engineering function for core insurance platforms, overseeing technical strategy, delivery governance, modernization, and platform scalability. The role involves managing internal and partner teams, driving innovation through PoCs, and ensuring high system performance and compliance.
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