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

Apply Now

Data Scientist - Public Sector

IBM
Leicester
2 weeks ago
Create job alert

Get AI-powered advice on this job and more exclusive features.


Introduction
At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you’ll have the opportunity to work with leading professionals across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology platforms. Curiosity and a constant quest for knowledge serve as the foundation to success here.
You’ll be encouraged and supported to constantly reinvent yourself, focusing on skills in demand in an ever changing market. You’ll be working with diverse teams, coming up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience.


We Offer



  • Many training opportunities from classroom to e‑learning, mentoring and coaching programs and the chance to gain industry recognized certifications
  • Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
  • Feedback and checkpoints throughout the year
  • Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
  • A culture where your ideas for growth and innovation are always welcome
  • Internal recognition programs for peer‑to‑peer appreciation as well as from manager to employees
  • Tools and policies to support your work‑life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
  • More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group personal pension plan of an additional 5 % of your base salary paid by us monthly to save for your future.

Your Role And Responsibilities


Join our innovative Data Science team and kickstart your career in Advanced Analytics! As a Data Scientist, you'll play a vital role in leveraging deep data and analytics expertise to address business challenges. Your responsibilities will include data preparation, analysis, and predictive modelling to forecast trends and suggest optimisations for improved business outcomes. Join our Data Science team and make a significant impact on data‑driven decision‑making and business optimisation. Apply today and embark on an exciting journey in Advanced Analytics!


Responsibilities



  • Leverage data preparation, analysis and predictive modelling techniques to address business challenges.
  • Develop and implement scripts for data manipulation using Python, Pandas, NumPy and Dask.
  • Create visualisations using Matplotlib, Seaborn and Plotly to communicate insights effectively.
  • Collaborate with cross‑functional teams to integrate data‑driven solutions into business processes.
  • Gain hands‑on experience with version control systems (Git, GitHub, GitLab) and CI/CD tools (Docker, Podman, Jenkins).

Preferred Education


Bachelor's Degree


Required Technical And Professional Expertise



  • Strong Python experience
  • Experience of working with Generative AI models
  • Knowledge of cloud services – ideally AWS and/or Azure
  • Strong communication skills and ability to work as part of a multi‑disciplinary team
  • Familiarity with Jupyter Notebooks
  • Strong analytical and problem‑solving skills
  • Ability to work collaboratively in a cross‑functional team
  • Passion for data‑driven decision‑making and business optimisation
  • Background in mathematics, statistics, or a related field.

Preferred Technical And Professional Experience



  • Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit‑learn)
  • Experience with cloud platforms (AWS, Azure, Google Cloud)
  • Knowledge of big data technologies (Hadoop, Spark)
  • Background in supply chain management, pricing, risk assessment, or fraud detection.

As an equal opportunities employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 10 years. You must be able to hold or gain a UK government security clearance.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Tax & Legal

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.