Data Science Lead

Role & responsibilities

Lead and execute multiple tier-1 client projects involving advanced Data Science techniques including AI, ML/NLP, GenAI, RAG & LLM.

Responsibility:

• Lead data science efforts (AI, ML, NLP, RAG, GenAI, optimization) for multiple client engagements in n Oil & Gas and downstream Petrochemical industries.
• Manage end-to-end Data Science project lifecycle from problem comprehension, analytical solution development to final delivery.
• Act as primary point of contact for client interactions, presentations, and requirement elicitation.
• Guide teams on advanced data science techniques ensuring alignment with business objectives.
• Collaborate cross-functionally with domain experts, business stakeholders, and technical teams to deliver robust analytical solutions.

Essential Skills (Must Have):

• Expert knowledge of data science algorithms, methodologies, and end-to-end lifecycle (AI/ML/GenAI), MLOps and post deployment service of AI models.
• Exceptional articulation skills to communicate technical concepts clearly to both technical and business stakeholders.
• Advanced analytical skills for strategic problem-solving and actionable insight generation.

Additional Skills (Good to Have):

• Exposure to cloud platforms (AWS/Azure/GCP), DevOps, deployment and scaling frameworks
• Experience in leading agile teams and agile methodology.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Understanding of data engineering principles and big data.