Data Science Manager

JR United Kingdom; Milton Keynes; On-site; GBP 60,000 - 90,000; Full time

Job summary

A rapidly growing UK-based start-up is seeking a Data Science Manager to lead the development of KPI prediction models. This person will manage a team of data scientists and shape how new data products are designed and delivered. The ideal candidate will have strong statistical modeling skills and proven leadership experience within data science, in a collaborative and innovative environment.

Qualifications

• 5+ years’ experience in data science or closely related field.
• Proven leadership experience mentoring or managing junior team members.
• Strong coding samples (e.g., GitHub projects) required.

Responsibilities

• Lead and mentor the data science team in building predictive models.
• Oversee data cleaning, feature engineering, and development pipelines.
• Collaborate with leadership to translate business needs into data science solutions.

Skills

Leadership

Statistical modeling

Data processing best practices

SQL

Machine learning techniques

Web scraping

APIs

Docker

Time series forecasting

Education

Bachelor's degree in a quantitative or technical field

Job description

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This UK-based start-up has achieved rapid growth in just two years, now boasting a team of ~40 people across divisions. Following a successful funding round and with a strong pipeline ahead, they continue to scale at pace.

They specialise in predictive analytics and KPI tracking across a broad range of companies and industries. Their predictive insights empower hedge funds and investors with critical performance data, ahead of public earnings reports.

The Role

As a Data Science Manager, you’ll take ownership of the end-to-end development of KPI prediction models and manage a team of data scientists, helping refine their workflows and ensure high-quality deliverables.

You will:

• Lead and mentor a team of data scientists in building predictive models.
• Oversee data cleaning, feature engineering, and model development pipelines.
• Build and maintain robust, scalable linear regression and statistical models for KPI forecasting.
• Drive improvements in internal tooling and API integrations.
• Collaborate closely with leadership, engineering, and the revenue team to translate business needs into data science solutions.
• Play a key role in product innovation, helping shape how new data products are designed and delivered.

What They're Looking For

• 5+ years’ experience in data science or a closely related field.
• Proven leadership experience — mentoring or managing junior data scientists.
• Strong grasp of linear regression, statistical modeling, and data processing best practices.
• Proficient in SQL (MySQL preferred).
• Experience with web scraping, machine learning techniques, and dashboarding tools is a bonus.
• Familiarity with Docker, time series forecasting, or LLM technologies is advantageous.
• A background or exposure to finance is useful but not mandatory.
• Bachelor’s degree (or higher) in a quantitative or technical field.
• Strong coding samples (e.g., GitHub projects).
• Practical experience building production-level models and data pipelines.
• Ability to bridge data science and product development goals.

If this role looks it could be of interest, please reach out to Joseph Gregory, or apply here.