Lead Data Scientist - Python

Job description :

Coforge is an AI-native engineering services leader, where AI is the very foundation of how we design, build, and deliver intelligent solutions for our clients. We use AI and hyperspecialized industry expertise to engineer autonomous enterprises.

We combine AI agents with our AI-enabled workforce, including specialized FDEs in hybrid pod-based delivery units. With a deep focus on trusted AI, our solutions are secure, governed, and enterprise-grade. We are outcome-led by design.

Moving beyond AI experimentation, we deliver measurable business outcomes lower operating costs, faster cycle times, higher conversion rates, and sustained margin growth. With an execution intensity thats uniquely our own, Coforge has emerged as the 7th largest Indian IT services firm, with a revenue growth rate nearly 8x the industry average.

Job Summary :

We are seeking a highly skilled Lead Data Scientist to drive data-driven decision-making, develop advanced analytical solutions, and lead a team of data scientists. The ideal candidate will have strong expertise in Python (mandatory), machine learning, statistical modeling, and stakeholder management.

Key Responsibilities :

• Lead the design and development of end-to-end data science solutions (data collection, modeling, deployment, monitoring).

• Build and deploy machine learning and deep learning models for business use cases.

• Collaborate with cross-functional teams (Product, Engineering, Business) to translate requirements into analytical solutions.

• Mentor and guide junior data scientists and analysts.

• Develop scalable and optimized data pipelines and model frameworks.

• Present insights and recommendations to leadership in a clear, actionable manner.

• Ensure best practices in model validation, governance, and performance monitoring.

Mandatory Skills :

• Strong expertise in Python (must-have) hands-on experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.

• Solid understanding of Machine Learning algorithms (Regression, Classification, Clustering, NLP, etc.).

• Experience with data manipulation and analysis.

• Strong knowledge of statistics and probability.

• Experience with SQL and database querying.

• Hands-on experience in model deployment and lifecycle management.

• Strong problem-solving and analytical thinking skills.

Preferred Skills :

• Experience with Big Data technologies (Spark, Hadoop).