Job Title: AI Research EngineerLocation: Cambridge, UKSalary: Competitive, depending on experienceJob Type: Full-time | PermanentDepartment: Artificial Intelligence / Research & DevelopmentRole OverviewWe are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing...
Cambridge
Forecasting Demand Planner
FORECASTING DEMAND PLANNER / DATA ANALYSTLocation: GoolePay rate: £14.40 - £15.86/hr (equivalent to £(phone number removed)/annum) - negotiableType of role: contract (with an opportunity of role to become permanent with 6-12 months)About CompanyOur client is a prominent railway infrastructure company committed to excellence in the rail industry. We are currently seeking a highly organized and detail-oriented Forecasting Demand Planner/Data Analyst...
Airmyn
AI Engineer - Data Science
causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed...
causaLens
City of London
Senior AI Engineer
London– Senior AI Engineer - £60 – 80k – AI AnalyticsMy client is a leading developer of AI analytics platforms that work with some of the biggest companies in the market. They provide specialist data analytics on niche, groundbreaking technical projects. They are looking for a Senior AI Engineer to join their expanding development team.Main Duties:Developing and implementing AI algorithms.Identifying...
Holborn and Covent Garden
Senior Data Scientist
Explore AI/ML solutions to tough physics problems in the Defence domainThis research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working...
London
Senior Data Scientist
🤖 AI Data Scientist / MLE 🤖Multiple Roles Available from Senior➡️ Lead ➡️Associate DirectorJoin a Global Leader in Management Consulting as they scale their UK AI Expert Team💸 £70k - £120k & bonus📍 100% Remote / UK / Global / UAE✈️ Relocation to Dubai or Abu Dhabi supportedWe are currently partnered with a globally recognized management consulting firm at the...
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.
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.
Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths.
Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.
Data Insights, Career Impact
Your Central Hub for Data Science Careers
Connecting data science professionals with data-driven companies to unlock the power of data.
Job Seekers:
Find impactful data science projects and advance your career across diverse industries. Find your next role in data analysis, machine learning, big data, and more.
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Build a high-performing data science team with access to top talent skilled in the latest technologies. Post your Data Science jobs with us.
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