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

Nominate & Attend

Senior Data Scientist

Data Careers
Blackpool
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist – Machine Learning -  Defence – Eligible for SC

Senior Data Scientist role - Financial Services | Guildford £80k

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (Permanent)
Location: Blackpool/London/Glasgow or Durham -3 days per week onsite
Salary:Up to £55,000plus benefits such as Civil Service Pension (28% contribution) + Bonus 5-10%

Applicants must be eligible to gain SC clearance - Last 5 continuous years UK residency, clear criminal and financial record checks essential.

Visa sponsorship is not available for this opening.

Our client, a prestigious civil service organisation, is seeking a talented Senior Data Scientist to join their dynamic team. This is an exciting opportunity for someone looking to work independently on a variety of ongoing and new data science projects, including pricing analytics, predictive modelling, segmentation, topic modelling, and insight automation.


Key Benefits:

- Competitive salary up to £60,000
- Generous Civil Service Pension (28% contribution)
- Performance-based bonus (5-10%)
- Opportunity to work on diverse and impactful projects
- Collaborative and supportive work environment


Key Responsibilities:

- Lead the development and maintenance of automated reporting pipelines
- Develop and maintain predictive models and pricing analytics solutions
- Create and enhance product segmentation models
- Manage complex data projects and automated data pipelines
- Conduct data discovery projects and onboard new data sources
- Ensure high-quality data science outputs for stakeholders


Essential Experience:

- Extensive experience in applying supervised and unsupervised ML algorithms
- Proven track record in building and deploying predictive models
- Strong communication skills and ability to present data insights effectively
- Experience in supporting analysts and setting best practices


Essential Qualifications:

- Degree in a numerate and/or statistical subject


Essential Skills:

- Expert-level knowledge in R or Python
- Proficiency in creating web applications and data visualisation

If you are passionate about data science and looking to make a significant impact within a leading organisation, we would love to hear from you. Apply now to join a team that values innovation, collaboration, and professional growth.

For more information and to apply, please contact us at DataCareers.

UmljaGFyZC5tYXh3ZWxsLjQzNTU1LjEyMjcxQGRhdGFjYXJlZXJzdWsuYXBsaXRyYWsuY29t.gif

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.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.