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.
