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At IBM Consulting UK FutureNow, 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.

As a Senior Data Scientist, you will play a leading role in the design and delivery of advanced data science and artificial intelligence solutions across a range of client engagements. You will work on complex, real world data problems across public sector and financial services clients, applying statistical, machine learning, and AI techniques to drive measurable outcomes.

AI and machine learning will form a significant element of your work, alongside broader advanced analytics, decision science, and data driven insight generation.

• Lead the design, development, and deployment of data science and AI solutions across multiple client projects
• Apply statistical modelling, machine learning, and advanced analytics techniques to structured and unstructured data
• Deliver AI enabled solutions, including exposure to foundation models, large language models, or other applied AI approaches where appropriate
• Translate ambiguous business problems into well defined analytical use cases and solution designs
• Conduct exploratory data analysis, feature engineering, model development, validation, and evaluation
• Work closely with data engineers, platform teams, architects, and stakeholders throughout the delivery lifecycle
• Provide technical leadership and mentoring to junior data scientists, contributing to team capability building and best practice
• Support technical decision making, including trade offs around accuracy, interpretability, scalability, cost, and operational risk

None

Bachelor's Degree

• Strong proficiency in Python and experience with data science and machine learning libraries (e.g. NumPy, Pandas, scikit learn)
• Practical experience applying machine learning or advanced analytics in a professional delivery environment
• Exposure to AI frameworks or techniques (e.g. TensorFlow, PyTorch, LLM APIs, or similar)
• Experience working with cloud platforms such as AWS, Azure, or GCP
• Solid understanding of data modelling, data quality, and analytical best practices
• Strong communication and problem solving skills, with the ability to explain complex concepts to non technical stakeholders
• Proven experience delivering data driven solutions end to end in a commercial or consulting context

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 delivering AI or machine learning use cases, including NLP, forecasting, classification, optimisation, or generative AI
• Familiarity with deploying or operationalising models (e.g. model APIs, batch scoring, or integration into downstream systems)
• Experience working in regulated or high assurance environments (e.g. public sector or financial services)
• Knowledge of SQL and modern data platforms or analytics tooling

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

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.

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Job Title

Data Scientist - AI & Advanced Analytics

Job ID

113210

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)

Is this role a commissionable/sales incentive based position?