Senior Data Scientist

Job description

**Job Requirements** About the Role As a **Senior Data Scientist** in the **Data & Analytics** department, you will be responsible for identifying business needs and translating them into analytical tools and methods that drive strategic decision-making. You will work across teams to design data structures, implement test strategies, and ensure delivery of data analytics solutions aligned with business objectives. This role demands a strong foundation in data science, emerging technologies, and a proactive approach to innovation and problem-solving. Key Responsibilities **Primary Responsibilities** - Identify and scope business requirements and priorities through rigorous analysis and clarification of solutions, initiatives, and programs. - Monitor and integrate emerging technology trends and developments to identify new data products, services, and techniques. - Research, identify, and adopt best-in-class techniques in AI/ML modeling. - Apply advanced AI/ML techniques to solve problems related to customer segmentation, risk modelling, campaign targeting, and more. - Perform data cleansing, merging, enrichment, and transformation to prepare high-quality datasets for modelling. - Analyze large datasets to identify trends, patterns, and opportunities for business growth. - Build recommendation engines and propensity models to support cross-sell and up-sell strategies - Validate models to ensure accuracy, stability, and compliance with regulatory guidelines. - Present complex model outputs and insights in a clear, business-friendly manner. - Ensure traceability and version control of datasets, models, and evaluation pipelines. - Develop test strategies and systematic validation procedures to ensure models meet design specifications and performance standards. - Maintain a strong understanding of data structures and fields required for analysis and modelling. - Coordinate with the Data Engineering team to ensure data quality and seamless data flow. - Manage stakeholder expectations by aligning analytics outcomes with organizational objectives - Identify and evaluate digitization and innovation opportunities enabled by advancements in data and analytics. - Develop, select, and apply analytical tools and advanced computational methods to enable systems to learn, adapt, and deliver desired outcomes. What We Are Looking For Education - Graduation: B.Sc (Bachelor of Science) or B.Tech (Bachelor of Technology) or BCA (Bachelor of Computer Applications) - Post-Graduation: M.Sc (Master of Science) or M.Tech (Master of Technology), or MCA (Master of Computer Applications) or MA (Economics/Statistics) **Experience** - 4 to 10 years of relevant experience in data analytics, data science, or related fields. Skills and Attributes - Strong analytical and problem-solving skills. - Experience with designing and implementing scalable data structures and analytics solutions. - Familiarity with emerging technologies and data science tools. - Proficiency in test strategy development and performance validation. - Ability to manage stakeholder relationships and deliver data-driven insights. - Strategic thinking with a focus on innovation and business impact. - Excellent communication and collaboration skills. Key Success Metrics - Development and deployment of analytical tools. - Delivery of business use cases through data analytics solutions.