Staff Data Scientist (Remote - UK)

Jobgether; United Kingdom; Remote; GBP 80,000 - 110,000; Full time

Job summary

A leading data-driven company is seeking a Staff Data Scientist in the United Kingdom. This role involves designing predictive models and collaborating with cross-functional teams to enhance business performance and customer experience. Candidates should have 10+ years of experience in commercial risk management, deep expertise in UK data sources, and proficiency in SQL and Python. The position offers a competitive salary, flexible remote work, and a culture that values authenticity and excellence.

Benefits

Competitive salary and equity

Flexible remote work environment

Cutting-edge technical tools

Flexible vacation and work hours

Parental leave for all employees

Inclusive team culture

Qualifications

• 10+ years of experience in commercial risk management, ideally in SMB portfolios in the UK.
• Deep expertise with UK consumer bureau and open banking data.
• Strong attention to detail and technical rigor.

Responsibilities

• Design and implement predictive models for business health forecasting.
• Deploy and monitor models within MLOps infrastructure.
• Conduct exploratory data analysis to uncover insights.

Skills

Commercial risk management

End-to-end model development and deployment

Analytical and problem-solving skills

Communication skills

Education

Master’s or PhD in Statistics, Computer Science, or related field

Tools

SQL

Python

MLOps tools (Chalk, Baseten, Metaflow, etc.)

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Scientist in the United Kingdom.

This role offers the opportunity to lead the development of predictive models and data-driven strategies that directly impact business growth and customer experience. You will work with diverse datasets, including commercial and consumer bureau data, to build sophisticated forecasting models for cash flow and risk management. Operating in a fast-paced, fully remote environment, you will deploy models into production, monitor performance, and refine strategies in response to market changes. Collaborating closely with cross-functional teams, you will use analytics and experimentation to drive insights that enhance platform functionality, improve customer outcomes, and optimize business performance. This is a high-impact position requiring strong technical expertise, strategic thinking, and end-to-end ownership.

Accountabilities

• Design, develop, and implement predictive models for business health and cash flow forecasting.
• Integrate diverse data sources, including commercial, bank, and consumer bureau data, to build comprehensive models.
• Deploy and monitor models within MLOps infrastructure, ensuring reliability and performance.
• Continuously fine‑tune strategies and models in response to credit performance, market trends, and macroeconomic factors.
• Conduct exploratory data analysis to uncover insights and prototype new model‑driven features.
• Collaborate with cross‑functional teams to align modeling efforts with business objectives and improve the customer experience.

Requirements

• 10+ years of experience in commercial risk management, ideally focused on SMB portfolios in the UK.
• Deep expertise with UK consumer bureau, commercial bureau, and open banking data.
• Hands‑on experience in end‑to‑end model development and deployment lifecycle.
• Proficiency in SQL and at least one scripting language (Python preferred).
• Familiarity with MLOps tools and platforms such as Chalk, Baseten, Metaflow, SageMaker, or Vertex.
• Strong analytical and problem‑solving skills, with attention to detail and technical rigor.
• Excellent written and verbal communication skills, capable of explaining complex concepts clearly.
• Educational background in Statistics, Computer Science, Financial/Applied Mathematics, Operations Research, Economics, or related technical field; Master’s or PhD is a plus.

Benefits

• Competitive salary and equity, reflecting ownership mindset.
• Flexible remote work environment with support for home office setup.
• Cutting‑edge technical tools and infrastructure to enable high‑quality work.
• Flexible vacation and work hours, emphasizing work‑life balance.
• Parental leave for all employees, regardless of gender.
• Inclusive, collaborative, and high‑performance team culture that values authenticity and excellence.