Manager - Data Scientist
Bengaluru, Karnataka, India
Weekday
At Weekday, we help companies hire engineers who are vouched by other software engineers. We are enabling engineers to earn passive income by leveraging & monetizing the unused information in their head about the best people they have worked...This role is for one of the Weekday's clients
Salary range: Rs 3000000 - Rs 4000000 (ie INR 30-40 LPA)
Min Experience: 5 years
Location: Bengaluru
JobType: full-timeWe are seeking a Manager – Data Science to lead a team of data scientists in building machine learning models, enhancing lending strategies, and refining risk assessment frameworks. The ideal candidate should have strong analytical skills, fintech expertise, and a deep understanding of statistical modeling and machine learning techniques.
Requirements
Key Responsibilities:
- Lead and mentor a team of data scientists to tackle complex business challenges.
- Develop and optimize credit risk models, fraud detection algorithms, and customer segmentation strategies.
- Collaborate with Product, Risk, and Business teams to drive data-driven decision-making.
- Implement machine learning algorithms (classification, regression, clustering, NLP) to improve underwriting and lending decisions.
- Monitor model performance, retrain models, and enhance predictive accuracy.
- Ensure compliance with RBI regulations and data privacy laws while handling customer data.
Qualifications & Skills:
- 5+ years of experience in Data Science.
- Proficiency in Python, R, SQL, and ML libraries (Scikit-learn, XGBoost).
- Expertise in credit risk modeling, fraud detection, and predictive analytics.
- Experience with cloud-based ML model deployment and big data tools.
- Understanding of lending, credit scoring, and RBI regulatory frameworks is a plus.
- Strong problem-solving skills with the ability to translate business challenges into data-driven solutions.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Classification Clustering Credit risk FinTech Machine Learning ML models Model deployment NLP Privacy Python R Scikit-learn SQL Statistical modeling Statistics XGBoost
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