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

Apply Now

Data Scientist

Harnham
united kingdom, united kingdom
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist Python Software - London (IT) / Freelance

Data Scientist - (Forecasting/Regression)

Remote (UK-Based)

Up to £45,000


The Company

This UK-based start-up has grown rapidly in just two years. With a team of ~30 people, they are scaling quickly, supported by recent funding and a strong growth pipeline.


They specialise in predictive analytics, tracking KPIs for a wide range of companies and industries. Their insights empower investors to make informed decisions by providing performance data ahead of public reports.


The Role

As a Data Scientist, you’ll play a pivotal role in developing and refining KPI prediction models, working with real-world data to create actionable insights.

  • Clean and process data to ensure accuracy and usability.
  • Build and maintain linear regression models for KPI tracking.
  • Access APIs and integrate software tools to enhance workflows.
  • Collaborate with the revenue team to generate insightful reports.
  • Support internal product development by improving data pipelines and analysis.


What They're Looking For

  • 1-2 years in data science or a related field, or a Master’s degree.
  • Strong Python programming (essential), SQL, and linear regression/statistical modeling. Experience with web scraping, machine learning, or dashboarding is a plus.
  • A background in finance or exposure to financial data is advantageous but not required.


The Process

  • A data task: Process raw data and build a model to predict revenue (2-4 hours).
  • A technical interview with the Head of Technology, covering coding, statistics, and technical problem-solving.

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

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML 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.