Lead Data Scientist for Strategic Growth

4 days ago

London, Greater London, United Kingdom Amplifi Capital Full time

Company Overview


Amplifi Capital is a fast-growing social FinTech company that aims to improve the nation's financial health through accessibility, affordability, and community. We believe that innovative use of data and AI is key to delivering on our strategic growth objectives.



About Us


We are a dynamic team of 250+ people who offer you the opportunity to have an immediate impact on the business and grow with us. Our purpose is to provide not-for-profit Credit Unions in the UK with access to state-of-the-art fintech, enabling them to become challenger banks offering a viable alternative to high-cost lenders.



The Role: Lead Data Scientist


You will lead the development of key models from inception and approval through to final delivery, managing your team and working across multidisciplinary teams in the business. As the Lead Data Scientist, you are expected to solve real-life business problems and drive strategic business objectives. This role reports directly into the Head of Data Science and is responsible for managing and mentoring junior team members while remaining very hands-on.




  • Work with business strategy teams to identify data science problems that offer the greatest opportunities to the organisation.
  • Manage the development of key credit risk models, ensuring they provide the business with a strategic edge for growth and risk management.
  • Explore large sets of structured and unstructured data from disparate sources, including new and unconventional ones, and come up with innovative ways of using this data. Design appropriate tests to collect additional data, if required.
  • Combine traditional modelling techniques with cutting-edge algorithms to build sophisticated modelling solutions to predict various aspects of customer behaviour, competitive landscape, market movements, which help shape through-the-lifecycle strategies relating to Credit Risk, Underwriting, Fraud prevention, Pricing, Customer Retention and Value Management, Collections and Customer Services.
  • Work with wider Data Engineering, Decision Systems and ML Ops teams to ensure proper testing, validation, and deployment of ML models in live environments and their ongoing performance monitoring.
  • Maintain guidelines for model development, validation, and testing as well as create documentation to ensure consistency, efficiency, and best practices.
  • Work with Data Engineering and ML Ops teams, manage the development and maintenance of high-quality data structures and feature stores to facilitate efficient and scalable model building and reporting.
  • Support other team members to improve their data science understanding.


Requirements

This is a high-impact role in a fast-growing business, and hence the ideal candidate would be someone who:




  • Is passionate about data science, modelling, and analytics.

    • Ideally has 4+ Years of experience in Modelling / Data Science disciplines.
    • Has managed complex modelling projects, from initial conception and approval through to final delivery.
    • Has proven experience and ability to train others in coding and modelling, using Python / SQL, with high coding standards.
    • Holds in-depth practical understanding of the content, format, and subtleties of UK bureau data.
    • Possesses proven expertise in traditional credit risk modelling techniques.
    • Has a strong understanding and genuine interest in machine learning (ML), deep learning, decision trees, random forests, GBM, SVM, naïve Bayes, anomaly detection, clustering.
    • Understands basics of data pipelines and ML Ops.
    • Preferably has a degree in a numerate (STEM) discipline or else has equivalent skills derived from self-learning / online courses combined with real-life modelling experience.
    • Financial services experience, particularly consumer credit.


This role comes with a highly competitive salary (£85,000 - £110,000 per annum), depending on experience, plus benefits including:




  • 25 days annual leave.
  • Discount shopping.
  • Private Health Cover via Bupa.
  • Cycle-to-Work Scheme.
  • Hybrid working (2 days from home).


Benefits

Amplifi Capital is committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief, and marriage and civil partnerships.



Please note that all offers of employment are conditional on us obtaining satisfactory pre-employment checks, including a DBS check, a credit check, and employment references.

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