Data Science Manager
Remote (UK-Based)
Up to £75,000
The Company
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.
* Expert Python programming skills (essential).
* 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.