Riverstone Talent
Website:
riverstoneliving.com
Company:
https://www.linkedin.com/company/riverstone-talent
Seniority: Mid-Senior level
Industries: Human Resources Services
Job details:
Riverstone Talent is hiring for a Analytics Lead – AI & Decision Intelligence on behalf of a well-funded Series A AI/ML startup focused on BFSI sector based out of Bangalore.
The Analytics Lead will spearhead AI, Machine Learning, and Agentic AI solutions for complex business problems in banking, insurance, and enterprise AI.
You'll lead a team of data scientists, ML engineers, and analysts — owning everything from translating business problems into analytical frameworks to deploying production-ready models at scale. This is a hands-on leadership role where you'll shape AI product roadmaps, drive model governance, and present recommendations to senior executives and customers.
What You'll Do:
— Lead end-to-end AI/analytics projects: data preparation → model deployment → monitoring
— Design agentic AI, predictive, prescriptive, and optimization models
— Establish best practices for feature engineering, model validation, experimentation, and MLOps
— Collaborate cross-functionally with product, engineering, sales, and customer success
— Drive model explainability, compliance, and performance optimization
What You Bring:
— Master's/Bachelor's in CS, Statistics, Mathematics, Data Science, or Engineering (MBA + Engineering preferred)
— 4–6 years in analytics/data science/ML, with 3–5 years leading teams
— Strong Python, SQL, and ML frameworks (Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch)
— Domain expertise in banking and/or insurance
— Excellent communication and stakeholder management skills
Nice to Have:
— Experience with credit risk, fraud detection, customer acquisition, pricing analytics, or collections
— Knowledge of LLMs, RAG, AI agents, and Agentic AI architectures
— Cloud experience (AWS / Azure / GCP)
— Familiarity with responsible AI, SHAP/LIME explainability, and regulatory compliance
Technical skills:
- Machine Learning & Deep Learning
- Statistical Modeling
- Python, SQL
- Data Engineering Concepts
- Feature Engineering
- Model Explainability (SHAP / LIME)
- MLOps & CI/CD
- Generative AI & LLMs
- Prompt Engineering
- Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch
- Cloud Platforms — AWS, Azure, or Google Cloud
- RAG (Retrieval-Augmented Generation) & Agentic AI Architectures
Why Join:
— Build cutting-edge Decision Intelligence products for BFSI
— Work with Generative AI, Agentic AI, and modern MLOps
— Influence product strategy and grow into senior technical/business leadership
Click on Apply to know more.
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