Senior Data Scientist

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.

Work arrangement
No