What is Muthoot FinCorp ONE?

Muthoot Fincorp ONE, is a fintech startup and SBU of Muthoot FinCorp Ltd., building a financial ecosystem where customers can access relevant and reliable digital services across an expansive range of digital financial products in segments like Lending, Saving & Investment, Protection, and Remittance.

Our products are designed to ensure a simple, reliable, and responsive financial environment for our customers. Envisioned to be the most trusted financial service provider, our app has an easy-to-use interface aimed to enhance user experience and comfortable navigation.

Our promoter, Muthoot FinCorp Ltd., is one of the most reputed names in the Fintech industry and has the customers' trust in diverse segments like Financial Services, Automotive, Hospitality, Alternate Energy, Real Estate, and Precious Metals.

We continue to uphold the values of our parent, the Muthoot Pappachan Group by providing you with easily accessible services, replete with our unmistakable quality.

Muthoot FinCorp ONE believes in an ownership driven startup culture, where cumulative success is paramount, and each team member is valued and nurtured.

Role of Data scientist:

Undertaking data collection, preprocessing and analysis

Building models to address business problems

Presenting information using data visualization techniques

Required Skillsets :

• Strong proficiency in Python and SQL for data extraction, cleaning, analysis, automation, and model development.

• Hands-on experience with pandas, NumPy, scikit-learn, and data visualization libraries.

• Good understanding of machine learning techniques such as regression, classification, clustering, decision trees, random forests, XGBoost/LightGBM, and model evaluation.

• Experience working with large and complex datasets from multiple sources.





• Strong working knowledge of AWS data and analytics services, including S3, Athena, Glue, Redshift, RDS, Lambda, IAM, CloudWatch, and EventBridge.

• Experience building or supporting ETL/data pipelines using AWS Glue, Lambda, scheduled jobs, APIs, and cloud storage.

• Familiarity with AWS SageMaker for model training, deployment, experiment tracking, and model monitoring will be preferred.

• Experience in feature engineering, data preprocessing, model validation, and performance tracking.

• Working knowledge of business analytics, funnel analysis, cohort analysis, customer segmentation, campaign performance measurement, and lead scoring.

• Experience with dashboards and reporting tools such as Power BI, Tableau, Streamlit, Shiny, or similar.

• Basic understanding of APIs, webhooks, data quality checks, logging, and production monitoring.

• Ability to translate business problems into analytical, machine learning, or automation solutions.

• Strong communication skills with the ability to explain insights clearly to business and leadership teams.

• Exposure to financial services, lending, marketing analytics, credit risk, or customer analytics will be an added advantage.

• Familiarity with GenAI/LLM use cases, prompt engineering, RAG, or chatbot analytics will be a plus.

Required Skillsets

• Strong proficiency in Python and SQL for data extraction, cleaning, analysis, automation, and model development.





• Positive understanding of machine learning techniques such as regression, classification, clustering, decision trees, random forests, XGBoost/LightGBM, and model evaluation.

• Working Knowledge of building or supporting ETL/data pipelines using AWS Glue, Lambda, scheduled jobs, APIs, and cloud storage.

• Familiarity with AWS SageMaker for model training, deployment, experiment tracking, and model monitoring will be preferred.

• Experience in feature engineering, data preprocessing, model validation, and performance tracking.

• Basic understanding of APIs, webhooks, data quality checks, logging, and production monitoring.

• Ability to translate business problems into analytical, machine learning, or automation solutions.

• Strong communication skills with the ability to explain insights clearly to business and leadership teams.

• Exposure to financial services, lending, marketing analytics, credit risk, or customer analytics will be an added advantage.

• Familiarity with GenAI/LLM use cases, prompt engineering, RAG, or chatbot analytics will be a plus.

What do you need to succeed?

Degree in Engineering/ Computer Science/ Economics, Statistics or Mathematics

Data-driven mindset, critical thinking and problem-solving skill

4+ years of experience in analyzing large, multi-dimensional data sets Expertise in converting insights into actionable solutions

Expertise in SQL, Excel, and visualization tools such as Power bi, Tableau

Experience with a statistical programming language like Python preferred

Machine learning experience of 4+years of implementing and successfully deploying ML solutions at scale for real-world problems.

Strong written and verbal communication skills to influence stakeholders

📌 Senior Data Sc (Bengaluru)
🏢 Muthoot FinCorp (MFL)
📍 Bengaluru