Data Strategy Lead

2 days ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead Data Strategist

We are seeking a Lead Data Strategist to join our team. As part of our AI unit, you will design, develop and deploy advanced machine learning models, Generative AI applications and AI-powered decision systems.

Key Responsibilities:
  • Design Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to domain-specific problems.
  • Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc.
  • Apply NLP, predictive modelling and optimization techniques to develop scalable machine learning solutions.
  • Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented Generation (RAG).
  • Apply advanced analytics to address complex challenges in Healthcare, BFSI and Manufacturing domains.
  • Deliver embedded analytics within business systems to drive real-time operational insights.
Requirements:
  • 3 - 5 years of experience in applied Data Science or AI roles.
  • Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences, Manufacturing or Utilities.
  • Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow.
  • Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable ML solutions.
  • Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis testing.
  • Strong skills in working with structured and unstructured data, including advanced feature engineering.
  • Familiarity with analytics maturity models and the development of Analytics Centre of Excellence (CoEs).
  • Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI.
What We Look for:
  • AI-first thinking: passion for leveraging AI to solve business problems.
  • Data-driven mindset: ability to extract meaningful insights from complex data.
  • Collaboration & agility: comfortable working in cross-functional teams with a fast-paced mindset.
  • Problem-solving: think beyond the obvious to unlock AI-driven opportunities.
  • Business impact: focus on measurable outcomes and real-world adoption of AI.
  • Continuous learning: stay updated with the latest AI trends, research and best practices.

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