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

Apply Now

Senior Data Scientist

Intellect Group
Manchester
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Role: Senior Data Scientist

Location: Manchester, UK

Salary: £45K - £65K


I am currently seeking a talented and experienced Senior Data Scientist to join a dynamic team within a forward-thinking organisation. This is an excellent opportunity for someone who thrives on solving complex problems, leveraging large datasets, and driving business insights through advanced analytics.


Key Responsibilities:

  • Lead the development and implementation of data science models and algorithms to address key business challenges.
  • Work closely with cross-functional teams to identify and prioritise data-driven solutions.
  • Utilise machine learning techniques to build predictive models and optimise decision-making processes.
  • Oversee the end-to-end lifecycle of data science projects, from data extraction and cleaning to model deployment and monitoring.
  • Mentor and guide junior data scientists, fostering a collaborative and innovative team environment.
  • Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.
  • Stay updated with the latest advancements in data science and machine learning, ensuring the organisation remains at the forefront of industry developments.


What we need from you:

  • A strong academic background with a degree in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, or a related discipline.
  • Extensive experience in data science, with a proven track record of successfully delivering complex projects.
  • Proficiency in programming languages such as Python, R, or similar.
  • Experience with data visualisation tools like Power BI, Tableau, or similar.
  • Strong knowledge of machine learning algorithms and techniques.
  • Excellent problem-solving skills, with the ability to think critically and analytically.
  • Strong communication skills, with the ability to translate complex technical concepts into actionable insights for non-technical stakeholders.


If you are a highly motivated Senior Data Scientist looking for a new challenge, I would love to hear from you. Please send your CV to Jordan . Regan @ Intellectgroup . com

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.