Job Title: Data Scientist (5+ Years Experience) – FinTech

Location: [City / Remote]

Experience: 5+ Years

Industry Preference: FinTech / Banking / NBFC / Lending

Role Overview

We are looking for an experienced Data Scientist with strong analytical capabilities and hands-on experience in building, deploying, and maintaining machine learning models in a FinTech environment. The role requires translating business problems into data-driven solutions , particularly in areas such as customer propensity modelling, risk analytics, and customer behaviour analysis .

The candidate should be comfortable working with large datasets, collaborating with business teams, and operationalizing models in production environments.

Key Responsibilities

1. Data Analysis & Business Insights

- Analyse large structured and semi-structured datasets to generate business insights for financial products and customer behaviour .
- Translate business problems into analytical frameworks and data science solutions .
- Perform exploratory data analysis to identify trends, patterns, and opportunities for product growth.

2. Machine Learning Model Development

- Design, develop, and validate machine learning models for use cases such as:
- Customer propensity models
- Cross-sell / up-sell prediction
- Customer segmentation
- Risk or fraud-related analytics
- Apply statistical and machine learning techniques such as logistic regression, tree-based models, boosting algorithms, and clustering .

3. Model Deployment & Lifecycle Management

- Deploy ML models into production environments.
- Build pipelines for model monitoring, retraining,



and performance tracking .
- Maintain and optimize existing models to ensure accuracy and stability.

4. Collaboration with Business & Product Teams

- Work closely with product, risk, marketing, and business teams to understand requirements.
- Convert analytical outputs into actionable recommendations .
- Support decision-making through data-driven insights and dashboards .

5. Advanced Analytics & AI (Good to Have)

- Knowledge or hands-on exposure to Large Language Models (LLMs) and Generative AI.
- Experience in LLM-powered analytics assistants, RAG pipelines, or conversational data interfaces is an advantage.

Required Skills

Technical Skills

- Strong programming skills in Python or R .
- Solid knowledge of SQL and working with large datasets.
- Experience with machine learning frameworks such as Scikit-learn, XGBoost, or similar.
- Experience in feature engineering, model evaluation, and hyperparameter tuning .
- Experience deploying models using APIs, batch pipelines, or ML platforms .

Analytics Skills

- Solid foundation in statistics and predictive modelling .
- Experience in propensity modelling and customer behaviour analytics .
- Ability to translate business problems into analytical solutions .

Data Tools

- Experience with cloud platforms (AWS/GCP/Azure) is preferred.
- Familiarity with data visualization tools (Power BI, QuickSight, Tableau) is a plus.

Domain Experience

- Prior experience in FinTech, Banking, Lending, NBFC, or Financial Services .
- Understanding of customer lifecycle, lending products, credit analytics, or cross-sell strategies .

📌 Data Scientist-FinTech (Thiruvananthapuram)
🏢 Muthoot Fincorp
📍 Thiruvananthapuram