Senior Data Scientist (Hiring Immediately)

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Introduction

Harnham is seeking a skilled Senior Data Scientist to join its rapidly expanding team in the fintech sector. This position, based in London, offers a full-time contract with a salary range of £60,000 to £80,000. The ideal candidate will lead innovative projects focused on credit risk models, contributing significantly to the company's product offerings and ultimate success.

Role and Responsibilities

As a Senior Data Scientist, you will play an essential role in shaping the future of consumer finance. Your primary responsibilities will include:

  • Being a vital part of a high-impact Data Science team that drives strategic decision-making.
  • Developing proprietary risk models that enhance underwriting quality, critical for effective lending processes in the fintech industry.
  • Leading projects and new initiatives, ensuring that your contributions are well-aligned with the organization’s goals.
  • Translating complex business problems into clear and actionable data-driven solutions, which will help inform business strategy.
  • Collaborating with cross-functional teams to deploy and monitor models without relying on a separate Machine Learning (ML) engineering team.
  • Effectively communicating complex data insights to both technical and non-technical stakeholders, ensuring clarity and shared understanding across the organization.

Your success in this role will greatly impact Harnham's ability to provide cutting-edge solutions in the realm of credit risk assessment.

Required Skills and Experience

To excel in this position, candidates must possess certain key skills and experience, including:

  • Strong proficiency in Python, as it is the primary programming language for data science applications in this role.
  • A solid understanding of machine learning techniques and their practical applications, particularly in the credit and lending industry.
  • Excellent communication skills, enabling the candidate to present complex data insights clearly to diverse audiences.
  • Proven experience in leading projects and effectively contributing to a team environment, showcasing collaboration and leadership abilities.

In addition to the required skills, candidates with the following qualifications will have an advantage:



  • Interest in machine learning engineering, which is a rapidly growing area in data science.
  • Strong SQL skills, coupled with a keen interest in data engineering, which are essential for database management and data retrieval tasks.

Work Environment

This position offers a hybrid work model, requiring the selected candidate to be onsite in London for three days a week while allowing for flexibility on the remaining days. This working arrangement combines the advantages of in-person collaboration with the comfort of remote work.

Application Process and Important Notes

Please note that this role cannot sponsor candidates for work visas. Therefore, it is essential for applicants to have the legal right to work in the UK. If you believe you meet the qualifications and are excited about driving innovation in the fintech industry, Harnham invites you to apply promptly, as they are hiring immediately for this crucial position.

Conclusion

Joining Harnham as a Senior Data Scientist offers the opportunity to work at the forefront of the fintech industry, significantly contributing to the development of advanced credit risk models. The role is ideal for individuals passionate about data science, machine learning, and transforming financial services. If you possess the skills and experience outlined above, you could be part of a dynamic team making impactful changes in consumer finance.



This job offer was originally published on jooble.com

Harnham

London

Data science

Full-time

February 7, 2025

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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.