Senior Lead - Data Scientist M/F

• Job offer expiration: 15/04/2026
• Type of work: Hybrid
• Role: Individual Contributor / Specialist
• Location: Asia, India, Bengaluru

• Lead end to end delivery of Data Science and ML projects, ensuring high quality technical outcomes and timely execution.
• Work closely with business teams to understand complex problems, define use cases, and translate them into analytical solutions.
• Conduct EDA, feature engineering, model development, and validation using industry best practices.
• Build, deploy, and monitor machine learning models (supervised, unsupervised, forecasting, NLP).
• Own project scoping, planning, timelines, risks, stakeholder communication, and status updates.
• Ensure robust model documentation, reproducibility, versioning, and lifecycle management.
• Collaborate with Data Engineering teams to ensure data readiness and pipeline design.
• Drive alignment between business requirements, analytical outputs, and measurable value.
• Stay updated on emerging trends in ML, GenAI, MLOps, and bring innovation to the function.

• 5–7 years of proven experience in Data Science, Machine Learning, and predictive modelling.
• Strong proficiency in Python, Scikit learn, Pandas, NumPy; exposure to PyTorch/TensorFlow.
• Solid foundation in statistics, experimentation design, model tuning, and ML theory.
• Experience deploying ML models using MLFlow, Azure ML, Databricks, or equivalent platforms.
• Intermediate to advanced SQL skills.
• Strong project management capabilities — scoping, planning, sprint/task management, risk handling.
• Excellent stakeholder management & communication skills, with ability to work independently.
• Experience with cloud based analytics ecosystems (Azure preferred).
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Good to Have
• Experience with GenAI, LLM-based solutions, embeddings, or vector databases.
• Familiarity with feature stores, Delta Lake, or real time inference.
• Prior involvement in enterprise-scale AI/ML project delivery.
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Education
Bachelor’s or Master’s degree in Engineering, Computer Science, Statistics, Mathematics, or related fields.

By joining KK Group, you will be part of a culture where diversity is embraced, every nationality is respected, and trust and collaboration across perspectives drives our success. Across our global organisation, we offer a wide range of job opportunities spanning office-based roles, production facilities, and onsite positions worldwide. Our roles cover multiple functions, locations, and disciplines, providing diverse career paths across the business. Whether you’re interested in engineering, manufacturing, operations, or support functions, you’ll find opportunities at KK Group to grow your skills, contribute to meaningful work, and make an impact.