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

Apply Now

Data Scientist

IBM
Manchester
3 days ago
Create job alert
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.


What We Offer

  • Many training opportunities from classroom to e‑learning, mentoring and coaching programs and the chance to gain industry‑recognised 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 processes as well as our Employee Champion teams and support networks.
  • A culture where your ideas for growth and innovation are always welcome.
  • Internal recognition programmes 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 programmes, 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 Programme, 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

Embark on an exciting career path as a Senior Data Scientist and lead the way in leveraging deep data and analytics expertise to address business challenges. In this role, you’ll be responsible for driving data‑driven decision‑making, optimizing business processes, and fostering a culture of innovation. Join our AI Analytics & 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

  • Lead the development of predictive models and data‑driven solutions for business optimisation.
  • Collaborate with cross‑functional teams to integrate data‑driven insights into business strategies.
  • Utilise optimisation tools (IBM CPLEX, Gurobi) and statistical analysis packages (SPSS, SAS, R, Python) to derive actionable insights.
  • Stay up‑to‑date with emerging data science trends and technologies.

Preferred Education

Bachelor’s Degree


Required Technical And Professional Expertise

  • Strong proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch or Keras.
  • In‑depth understanding of foundation models and large language models.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and related services.
  • Excellent communication, leadership and problem‑solving skills.
  • Proven track record of delivering AI solutions in a professional setting.

Preferred Technical And Professional Experience

  • Experience with generative AI models.
  • Knowledge of modern UI frameworks (Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery).
  • Familiarity with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).
  • Understanding of various operating systems (Linux, Windows, iOS, Android).

As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, 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 five 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

Data Scientist

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.