Data Scientist - Public Sector

IBM
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Introduction

At IBM CIC, we deliver deep 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 visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.

Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom 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), online shopping discounts, an Employee Assistance Program, 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

As a Senior Data Scientist in Artificial Intelligence, you'll lead the development and delivery of sophisticated AI solutions, driving innovation and expertise within our organization.

Responsibilities

  • Architect and deliver cutting-edge AI solutions using foundation models and large language models
  • Define and implement comprehensive cognitive computing strategies, aligning with business objectives
  • Lead the design, development, and deployment of AI solutions across the full project lifecycle
  • Mentor and guide mid-level team members, fostering a culture of continuous learning and improvement
  • Establish and maintain strong relationships with clients and stakeholders, ensuring successful project outcomes

Join our team and contribute to the development of groundbreaking AI solutions that drive business success. If you're passionate about pushing the boundaries of artificial intelligence and have a knack for solving complex problems, we'd love to hear from you.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

  • Extensive experience in AI, machine learning, and data science, with a strong focus on foundation models and large language models
  • Masterful proficiency in Python and expertise in AI frameworks such as TensorFlow, PyTorch, or Keras
  • Deep understanding of cloud platforms (AWS, Azure, GCP) and related services
  • Proven track record of delivering complex AI solutions in a professional setting
  • Experience of working with Generative AI models
  • Strong communication skills and ability to work as part of a multidisciplanry team

Preferred Technical And Professional Experience

  • Experience with generative AI models and deep learning architectures
  • Familiarity with modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery)
  • Knowledge of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB)
  • Understanding of various operating systems (Linux, Windows, iOS, Android)
  • Knowldege of cloud services - ideally AWS and/or Azure
  • Ideally have experience working in public sector

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.