Director, Data Science

Applied Data Finance

Lead the strategy and delivery of machine-learning models for consumer lending, focusing on credit risk and portfolio decisioning.

Last checked on September 2, 2026. We may earn a commission when you click through.

✓ Leadership role with significant impact ✓ Hands-on experience with cutting-edge technology ✓ Opportunity to shape data strategy

Director, Data Science

Applied Data Finance

Updated 1 day ago

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Thane

This position is ideal for seasoned data scientists looking to influence major lending decisions. However, the lack of disclosed salary raises concerns about transparency, which could deter potential applicants.

About this role

Lead the strategy and delivery of machine-learning models for consumer lending, focusing on credit risk and portfolio decisioning.

About the Company

Applied Data Finance specializes in innovative financial solutions, particularly in consumer lending.

Key Highlights

✓ Oversee development of credit risk models
✓ Shape strategy and roadmap for data science initiatives
✓ Focus on machine-learning and statistical models
✓ Contribute to underwriting and portfolio risk decisioning

💡 Honest Take: While the role seems prestigious, candidates should be prepared for a highly competitive environment. The emphasis on advanced models means staying updated with rapid tech changes, which might require significant personal investment in learning.

Pros

✓ Leadership role with significant impact
✓ Hands-on experience with cutting-edge technology
✓ Opportunity to shape data strategy

Cons

✗ Salary not disclosed
✗ High-pressure environment expected
✗ Limited remote work options

Best For: Senior professionals in data science aiming to elevate their careers in the financial sector.

Watch Out: The lack of salary transparency might indicate a structure that could vary widely.

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What Customers Say

Employees appreciate the innovative projects but note a demanding work culture.

Expert Review

The Director of Data Science role at Applied Data Finance offers lead pivotal projects in consumer lending. Candidates will be tasked with developing advanced credit risk models and overseeing their implementation in underwriting processes. This leadership position requires technical expertise but also the ability to drive strategic initiatives within the company.

The fast-paced environment means that candidates must stay abreast of the latest developments in machine learning and statistical modeling. This can be both an exciting challenge and a potential drawback, as continuous learning is essential. the company culture emphasizes performance, which may lead to a high-pressure work atmosphere.

It's also important to note that the job is based in Thane and does not offer remote work options, which could limit flexibility for some candidates. For those who thrive in dynamic settings and are passionate about shaping the future of consumer lending, this role could be a great fit. However, the absence of salary information raises questions about compensation expectations.