Data & Analytics Data Scientist Professional

At IBM Consulting UK Future Now, you’ll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors.

You’ll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you’ll work on meaningful, high profile programmes that stretch your skills and accelerate your growth.

We invest heavily in you—supporting continuous learning, in demand skills development, and long term career progression. You’ll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique.

We offer:

• 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 pension plan through salary sacrifice.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

• Lead the design, development, and deployment of AI solutions using cutting-edge technologies, focusing on foundation models and large language models
• Collaborate with senior team members to define cognitive computing strategies and guide the full AI project lifecycle
• Conduct in-depth exploratory data analysis, feature engineering, and model selection for structured and unstructured data
• Utilize advanced analytics techniques, including NLP and ML, to extract insights and drive decision-making
• Mentor junior team members and promote knowledge-sharing within the team

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.

None

Bachelor's Degree

• Strong proficiency in Python and experience with AI frameworks such as Tensor Flow, 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

This role is subject to pre-employment screening in line with the UK Government’s Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).

• Experience with generative AI models
• Knowledge of modern UI frameworks (Backbone.js, Angular
  
  JS, React.js, Ember.js, Bootstrap, JQuery)
• Familiarity with relational and No
  
  SQL databases (SQL, Postgres, DB2, Mongo
  
  DB)
• Understanding of various operating systems (Linux, Windows, iOS, Android)

IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Job Title

Data Scientist

Job

117159

City / Township / Village

State / Province

Hampshire, London, City of, Manchester, Leicester

Country

United Kingdom

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Regular

Position type

Professional

Up to 80% or 4 days a week (home on weekends - based on project requirements)

Company

Shift

General (daytime)