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

Nominate & Attend

Apply Now! Data Scientist...

Harnham
Northampton
4 weeks ago
Applications closed

Related Jobs

View all jobs

Apply Now! Marketing Data Scientist - Contract...

Apply Now! Pricing Data Scientist (Remote)...

▷ (Apply Now) Data Scientist...

Pricing Data Scientist (Remote) [Apply Now]...

Senior Data Scientist, Growth Analytics

Senior Data Scientist

Pricing Data Scientist (FTC - With the view to go
permanent) UK – Remote Up to £65,000 We are working with an
exciting scale up within the insurance space, who aim to
revolutionise the industry through Machine Learning and advanced
pricing strategies. They are seeking a Pricing Data Scientist to
develop sophisticated pricing models, optimize predictive
capabilities, and enhance automation processes. This is an
excellent opportunity for a data-driven professional eager to make
a significant impact in a cutting-edge environment. As a Pricing
Data Scientist, you will play a crucial role in leveraging machine
learning techniques to refine pricing strategies and improve
business outcomes. You will work closely with engineers and
analysts to implement scalable pricing solutions and continuously
monitor performance. Key Responsibilities - Develop and refine
ML-driven pricing models to enhance risk assessment and
profitability. - Apply advanced statistical and machine learning
techniques to optimize pricing accuracy. - Automate and streamline
pricing model deployment for continuous improvement. - Collaborate
with key stakeholders across engineering, product, and data teams.

  • Monitor and assess model performance, iterating as needed to
    drive business value. - Ensure regulatory compliance while
    fostering innovation in pricing methodologies. What We’re Looking
    For - Strong expertise in Python and SQL for data analysis and
    model development. - Experience with pricing models, actuarial
    techniques, or risk modeling. - Deep understanding of machine
    learning algorithms, predictive modeling, and statistical analysis.
  • Hands-on experience in automating and deploying machine learning
    models. - Proven ability to translate complex data into actionable
    pricing insights. - Excellent problem-solving skills and attention
    to detail. - Strong communication skills and experience working in
    cross-functional teams. If this role looks of interest, please
    reach out to Joseph Gregory
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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.