Data Scientist - Leeds - Hybrid - £50k - £60k
other jobs Tenth Revolution Group
Added before 3 Days
- England,Yorkshire and The Humber,West Yorkshire,Leeds
- full-time
- £50,000 - £60,000 per annum
Job Description:
Data Scientist - Leeds - Hybrid - £50k - £60k
This is an excellent opportunity for an experienced data scientist to join a rapidly growing team in the financial services industry. You will work in a team of like-minded data scientists with a focus on driving the evolution of my clients risk model and enhance their data capabilities.
Position Overview
As a Data Scientist within our my clients team, you’ll develop insights for their credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers.
You’ll work collaboratively with Data Scientists across the business, sharing expertise with a peer group to deepen your knowledge and apply it to the company. Additionally, you’ll design and analyse tests and build statistical models to help us reach a broader range of customers.
Salary & Benefits
*£60k - £70k (depending on experience)
*Medical insurance from Vitality, including discounted gym membership
*A private GP service (separate from Vitality) for you, your partner, and your dependants.
*25 days’ holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave
*A one-month, fully paid sabbatical after four years.
*Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
*3% pension contributions on total earnings
*An employee equity incentive scheme
*Generous parental leave and a nursery tax benefit scheme to help you save money.
*Electric car scheme and cycle to work scheme
*Two company retreats a year, we’ve been to France, Italy, Spain, and further afield.
Role & Responsibilities
*Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You’ll focus on the model’s relevance to the business and the data sources supporting it.
*Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process.
*Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model’s accuracy and expand its potential applications within the company.
*Strategic Data Science Influence: Beyond immediate model improvements, you’ll play a pivotal role in shaping the data science roadmap. By identifying emerging data science techniques and championing best practices, you’ll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth.
What do I need to apply
Essential:
*Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields).
*Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R.
*Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS.
*Self-starter with ability to work autonomously and efficiently manage projects end-to-end.
*Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience.
Desirable:
*Experience building machine learning models from scratch (e.g. creating custom optimisers)
*Advanced knowledge of stochastic processes and related mathematical techniques.
*Experience with Bayesian analysis.
*Experience with Python (our primary programming language).
*Knowledge of financial concepts (e.g. calculations with deterministic cash flows).
My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for 1st stage interviews next week so if you’re interest, get in touch ASAP with a copy of your most recent and up to date CV and email me at or you can call me on .
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We’re the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at
This is an excellent opportunity for an experienced data scientist to join a rapidly growing team in the financial services industry. You will work in a team of like-minded data scientists with a focus on driving the evolution of my clients risk model and enhance their data capabilities.
Position Overview
As a Data Scientist within our my clients team, you’ll develop insights for their credit assessment model. Your role will involve evaluating the model, identifying key areas for improvement, and using untapped features to enhance accuracy and reduce friction for customers.
You’ll work collaboratively with Data Scientists across the business, sharing expertise with a peer group to deepen your knowledge and apply it to the company. Additionally, you’ll design and analyse tests and build statistical models to help us reach a broader range of customers.
Salary & Benefits
*£60k - £70k (depending on experience)
*Medical insurance from Vitality, including discounted gym membership
*A private GP service (separate from Vitality) for you, your partner, and your dependants.
*25 days’ holiday, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave
*A one-month, fully paid sabbatical after four years.
*Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
*3% pension contributions on total earnings
*An employee equity incentive scheme
*Generous parental leave and a nursery tax benefit scheme to help you save money.
*Electric car scheme and cycle to work scheme
*Two company retreats a year, we’ve been to France, Italy, Spain, and further afield.
Role & Responsibilities
*Model Evaluation & Improvement: Begin by immersing yourself in our current model to assess its strengths and identify areas for enhancement. You’ll focus on the model’s relevance to the business and the data sources supporting it.
*Data Feature Expansion: Conduct a detailed data assessment to identify new features that could improve model precision and reliability. This includes testing additional data points and exploring off-the-shelf alternatives to sensitive personal data, which add unnecessary friction to the loan application process.
*Prototype Testing & Iteration: Start developing and testing initial model iterations, refining as you go. Investigate supplementary data sources, including ecommerce insights, to enrich the model’s accuracy and expand its potential applications within the company.
*Strategic Data Science Influence: Beyond immediate model improvements, you’ll play a pivotal role in shaping the data science roadmap. By identifying emerging data science techniques and championing best practices, you’ll guide how we apply data science to add deeper value across our offerings, setting the foundation for innovative, scalable solutions that drive future growth.
What do I need to apply
Essential:
*Strong problem-solving skills in probability and statistics, ideally from a quantitative background (e.g., Engineering, Mathematics, Physics, or similar fields).
*Proficiency with data manipulation and modelling tools, e.g. pandas, statsmodels, R.
*Experience with scientific computing and tooling, e.g. NumPy, SciPy, R, Matlab, Mathematica, BLAS.
*Self-starter with ability to work autonomously and efficiently manage projects end-to-end.
*Excellent communication skills, with the ability to adjust your communication style and technical detail based on the audience.
Desirable:
*Experience building machine learning models from scratch (e.g. creating custom optimisers)
*Advanced knowledge of stochastic processes and related mathematical techniques.
*Experience with Bayesian analysis.
*Experience with Python (our primary programming language).
*Knowledge of financial concepts (e.g. calculations with deterministic cash flows).
My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for 1st stage interviews next week so if you’re interest, get in touch ASAP with a copy of your most recent and up to date CV and email me at or you can call me on .
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We’re the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at
Job number 1827608