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

Apply Now

Data Scientist

Holbeck
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Palantir

Are you a Data Scientist with a particular interest in predictive data analytics and the ambition to be part of an exciting new sector? You might be in academia or the business world and feeling like a cog in a much bigger wheel, with little opportunity to make a real impact? Are you up for jumping into a new role in a pioneering, scaling business at the forefront of its market? If this sounds like you, we have an out of the ordinary new role to invite you to look at!

Data Scientist - The Company - Predictive Analytics, Data Mining, Machine Learning, Data Science

  • Extract, data mine and define meaning from raw data and manage key data signatures providing crucial analysis and reporting, the outcome of which should have significant benefits to the bottom line.
  • Working with large datasets to analyse and interrogate data and develop new models to support strategic objectives.
  • Working for a variety of customers, identifying opportunities to improve current systems, processes and infrastructure - proposing changes, testing and roll out.

    Data Scientist - Responsibilities - Predictive Analytics, Data Mining, Machine Learning, Data Science

  • Highly numerate with Degree qualification in Mathematics, Computer Science, Statistics, Physics, or similarly quantitative field
  • Experience in statistical modelling, machine learning, data mining, unstructured data analytics, natural language processing.
  • Proficiency in statistical and other tools/direct coding languages, e.g Python / C.
  • Familiarity with relational databases and intermediate level knowledge of SQL. Sound understanding of a wide range of statistical techniques.
  • Advanced excel skills and advanced analytical techniques e.g. regression analysis, predictive analysis, data mining
  • Agile Methodologies

    Data Scientist - Your skills - Predictive Analytics, Data Mining, Machine Learning, Data Science

  • Inquisitive, not afraid to try new things
  • Entrepreneurial and well-organised
  • Self-motivated and driven
  • Collaborative and exceptionally team orientated
  • High self-motivation and ability to work autonomously
  • Excellent interpersonal skills dealing with stakeholders at all levels within the organisation

    Data Scientist, Predictive Analytics, Data Mining, Machine Learning, Data Science

    Intrigued? Interested? Excited about this proposition? Please get in touch, we will be delighted to explore this with you

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

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 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.