Data Scientist - AI

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.

We Offer:

• Tools and policies to support your work‑life balance, including flexible working, sabbatical programs, paid paternity and maternity leave, and an innovative maternity returners scheme.
• 25 days holiday (in addition to public holidays).
• Private medical, dental & optical cover.
• Online shopping discounts.
• An Employee Assistance Program.
• Life assurance.
• A group pension plan through salary sacrifice.

Your Role And Responsibilities:

We are looking for a Data Scientist with expertise in Artificial Intelligence to take a key role in designing, developing, and deploying advanced AI solutions. You will work with modern technologies, contribute to end‑to‑end project delivery, and support the development of AI capabilities across the organisation.

Responsibilities:

• Lead the design, development, and implementation of AI solutions, focusing on foundation models and large language models.
• Work with senior colleagues to shape cognitive computing approaches and support the full lifecycle of AI projects.
• Perform exploratory data analysis, feature engineering, and model evaluation for both structured and unstructured data.
• Apply advanced analytics techniques, including natural language processing and machine learning, to generate insights and support decision‑making.
• Mentor junior team members and contribute to a collaborative, knowledge‑sharing environment.

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, and familiarity with popular ML libraries and the standard ML Python stack.
• Ability to preprocess and feature engineer data (cleaning, transformation, feature extraction).
• Ability to deploy and serve models in production‑ready environments, including containerisation, orchestration, and model serving platforms such as Docker, Kubernetes, TensorFlow, etc.
• Familiarity with model interpretability and explainability techniques (e.g., SHAP, LIME).
• Experience with Machine Learning and ML Ops practices.
• 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.

Security and Vetting:

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, which could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV).

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).