National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

Method Resourcing Solutions Ltd
Burnley
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

ata Scientist - Permanent Role
Location: York or Manchester
Type: Permanent
Reporting to: Head of Data Science
A leading financial services company is seeking a talented Data Scientist to join their innovative technology team, driving impactful solutions that shape the business's strategic goals. This is an exciting opportunity for a problem-solver with a pioneering mindset to deliver cutting-edge data science solutions in a collaborative, fast-paced environment.
About the Role As a Data Scientist, you'll work in a dynamic team of data scientists, engineers, and analysts, applying your skills to solve diverse business challenges. Operating in an Agile environment with 2-week review cycles, you'll focus on delivering business value through Minimum Viable Products (MVPs) that scale into robust solutions. You'll collaborate with stakeholders across various business functions, tackling problems in decision-making, pricing, intent, and monitoring, while communicating the power of data science to drive business impact.
This role is perfect for someone passionate about using data science to influence decisions, eager to innovate, and committed to delivering high-quality solutions.
Key Responsibilities

Apply the data science product life cycle (design, exploratory data analysis, building, evaluation, deployment, monitoring, and maintenance) to new projects.
Develop and maintain production-grade data science models, optimizing and upgrading them as needed.
Design scientific solutions to complex business challenges, working with diverse datasets (internal and third-party) and leveraging advanced machine learning or statistical modelling techniques.
Collaborate with data scientists, engineers, and pricing teams to mature the organization's analytics practice.
Write high-quality Python code following industry best practices for model training and deployment.
Stay ahead of the curve by researching new techniques and technologies, sharing insights with the team.

Must-Haves

Experience in data science, advanced analytics, or a strong desire to learn.
Ability to conduct high-quality research independently or in small teams, delivering results in a timely manner.
Familiarity with version control and IT delivery tools.
Understanding of how to apply machine learning to solve business problems.
Experience developing predictive and prescriptive models (eg, predictive modelling, machine learning, or data mining) to deliver actionable business insights.
Exceptional written and verbal communication skills, with the ability to present findings clearly to diverse audiences.
Willingness to adopt software development best practices.
Strong Python programming skills.
Experience with Test-Driven Development (eg, pytest or similar frameworks).

Nice-to-Haves

Graduate or postgraduate qualification (or equivalent experience) in a relevant field such as engineering, mathematics, physics, or statistics.
Experience in data science within financial services, insurance, or E-commerce (not essential).
Familiarity with cloud-based deployment.
Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, or Pandas.
Experience with API development.
Proficiency in SQL.
Background in software engineering or DevOps/MLOps.
Understanding of CI/CD pipelines.

Why Join Us? Join a forward-thinking financial services company that values innovation, collaboration, and diversity. Our technology team is trusted for its track record of delivery and respected for its commercial mindset. We offer a hybrid working model, blending structure and sociability with independence and flexibility, with an expectation of up to 2 days per week in our York or Manchester office.
We're committed to creating an inclusive culture where the best people thrive, and we support flexible working arrangements to help you achieve a healthy work-life balance.
Ready to Make an Impact? If you're a passionate Data Scientist who thrives on solving complex problems and driving business value through data, we'd love to hear from you. Apply now to join a team that's shaping the future of financial services!
RSG Plc is acting as an Employment Agency in relation to this vacancy.

#J-18808-Ljbffr

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.