Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Manager

Harnham
Luton
5 months ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager (Applied AI)

Data Scientist Manager

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 inpredictive analyticsandKPI trackingacross 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 aData 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’ experiencein 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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.