Harnham
Data Scientist
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DATA SCIENTIST
SALARY BETWEEN £75,000-£85,000
REMOTE
Harnham are working with an innovative fintech business that is transforming how risk is assessed and managed within the payments ecosystem. This is an opportunity to join a high-growth environment where data science is central to product development and commercial success.
THE COMPANY
This organisation is a well-established analytics and data-driven business that supports organisations across a range of sectors with insight-led decision making and customer management strategies. With a strong reputation for innovation, collaboration, and employee development, they offer a supportive environment where analysts are given exposure to a broad range of projects and stakeholders. The business is known for its positive culture, excellent career progression opportunities, and a track record of retaining and developing talented individuals over the long term.
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THE ROLE
As a Data Scientist you will tackle complex risk and analytics challenges within a growing business. You will work closely with both technical and commercial stakeholders to develop predictive models, uncover insights from large datasets, and contribute to the evolution of innovative risk products.
Specifically, you can expect to be involved in:
- Developing and deploying predictive models to support risk assessment and decision-making.
- Using advanced analytics to monitor portfolio performance and identify emerging trends and risks.
- Working with structured and external datasets to generate actionable insights.
- Collaborating with external partners and internal stakeholders to shape data-driven solutions.
- Enhancing existing modelling approaches and exploring new machine learning techniques.
SKILLS AND EXPERIENCE
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The successful Data Scientist must have the following skills and experience:
- 4-5 years of experience as a data scientist in financial services.
- Strong experience using Python for data analysis and model development.
- Excellent SQL skills with experience extracting, transforming, and analysing complex datasets.
- Experience within credit risk, fraud analytics, or a related quantitative environment.
- Knowledge of supervised machine learning techniques such as logistic regression and gradient boosting.
- Ability to work autonomously, solve complex problems, and communicate insights effectively.
- Exposure to clustering, anomaly detection, AI/LLM applications, or start-up environments would be beneficial.
BENEFITS
The successful Data Scientist will receive a salary up to £85,000 as well as equity.
Please note, this role does not offer visa sponsorship
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