Description

You will build and deploy data science solutions across multiple business domains, owning the full lifecycle from stakeholder engagement to production deployment.

This role is hybrid.

Responsibilities

• Engage with stakeholders and business analysts to define data requirements and translate them into technical solutions.
• Design analytical frameworks and build machine learning or statistical models to solve specific business problems.
• Explore, visualize, and prepare multiple datasets to extract actionable business insights.
• Design database models when data marts or operational data stores are required for modeling.
• Present data-driven results and narratives to stakeholders using dashboards and presentations.

Required Skills

• 6+ years of experience in Machine Learning and AI.
• Minimum 3 years of experience in a data science domain.
• Proficiency in Python and SQL.
• Experience with statistical modelling, generative AI techniques, and predictive analytics.
• Hands-on experience with Prompt Engineering and building Generative AI POCs (GPT, Llama).
• Experience building predictive models for customer retention, segmentation, and recommendation engines.
• Proficiency using Tableau and/or PowerBI for dashboard visualization.
• Familiarity with cloud platforms, specifically AWS APIs and SageMaker.
• Experience building data pipelines using tools like Alteryx or GLUE.

Key Skills

Education

Any Graduate