Data Scientist & GenAI Sr. Manager

Data Science with GenAI (Sr. Manager)

Location

Work Mode

BFSI sector

Key Skills

• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, etc.).
• Expertise in handling massive datasets (local/distributed) using tools such as Apache Spark, Vaex, Dask.
• Hands-on experience in building and deploying models including:
• Promotion optimization, NLP (BERT, DistilBERT), clustering, segmentation, recommendation systems.
• Fraud detection, lapsation prediction, neural networks (ANN, LSTM, transformers, attention models).
• Bagging, boosting, and generative models.
• Experience with cloud platforms (Azure, GCP, AWS).
• Familiarity with ML-Ops pipelines for automated model training, deployment, and monitoring.
• Exposure to banking variables and bureau data for channel partnerships is preferred.
  

Responsibilities

• Stakeholder Engagement Build strong partnerships with BFSI clients and channel partners, communicate methodologies effectively, and drive stakeholder confidence.
• Project Leadership Scope, plan, and deliver end-to-end analytics projects, ensuring timelines, budgets, and quality standards are consistently met.
• Analytics Delivery Design and deploy high-impact data science and GenAI models to solve complex business problems and sharpen client strategies.
• Team Development Mentor, coach, and upskill junior data scientists; lead in-house training initiatives to build organizational capability.
• Compliance & Standards Ensure adherence to SOPs, documentation, and governance frameworks while maintaining best practices in model deployment.
  

Qualifications & Experience

• 8+ years of experience in advanced analytics.
• Graduate/Postgraduate degree from Tier-I colleges.
• Ability to design and review new solution concepts and lead the delivery of high-impact analytics solutions and programs for global clients
• Strong understanding of statistical concepts.