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

Apply Now

Data Scientist (Visa Sponsorship Available)

Techwaka
Coventry
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Tax & Legal

Primesource Consulting LLP seeks a talented Data Scientist to join their team. This role involves leveraging data science to design and develop machine learning models to address real-world business challenges. The candidate should possess a strong foundation in data science, machine learning, and cloud-based data systems.

In this role you can expect to have the responsibilities:

  • Apply various data science techniques and tools to business problems.
  • Design and deliver data science products aligned with organizational objectives.
  • Collaborate with cross-functional experts to achieve organizational goals.
  • Communicate insights for management and operational efficiency.
  • Ensure data ethics and preparation are integral to projects.
  • Develop machine learning models and algorithms for complex challenges.
  • Code in R or Python, utilizing libraries like numpy, scipy, and pandas.
  • Conduct exploratory data analysis, model development, and evaluation.
  • Work with both RDBMS and distributed datasets, demonstrating strong SQL skills.
  • Design cloud-based data pipelines for scalable and reliable solutions.

This role comes with the following benefits:

  • Competitive salary and benefits package
  • Work with cutting-edge technologies
  • Collaborative work culture
  • Flexible working arrangements

This role requires you to have:

  • Proficiency in Python or R
  • Experience with cloud-based data pipelines
  • Delivery of actionable insights through data science projects
  • Awareness of data security best practices
  • Experience in agile environments

You would benefit from having:

  • Understanding of data storage and processing design choices
  • Familiarity with Apache Spark or Airflow
  • Experience with parallel computing

Candidates should be able to reliably commute or plan to relocate to Coventry before starting work. The role requires a Data Scientist with a minimum of 7 years of experience

Upload CV/Resume * Allowed Type(s): .pdf, .doc, .docx

By using this form you agree with the storage and handling of your data by this website. *


#J-18808-Ljbffr

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

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.

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.