Senior Data Scientist

Senior Data Scientist

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
IBM

At a Glance

  • Tasks: Lead AI solution design and development using cutting-edge technologies.
  • Company: Join IBM Consulting UK FutureNow, a leader in hybrid cloud and AI.
  • Benefits: Flexible working, 25 days holiday, private medical cover, and career progression.
  • Other info: Inclusive environment that values curiosity and supports continuous learning.
  • Why this job: Make a real impact with innovative AI solutions and grow your skills.
  • Qualifications: Proficient in Python, AI frameworks, and strong problem-solving skills.

The predicted salary is between 60000 - 80000 £ per year.

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 skill 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.

Benefits

  • Tools and policies to support your work‑life balance: flexible working approaches, sabbatical programmes, paid paternity leave, maternity leave and an innovative maternity returners scheme.
  • More traditional benefits: 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 pension plan through salary sacrifice.

Role Overview

In this role, you’ll work in one of our IBM Consulting Client Innovation Centres (Delivery Centres), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.

Responsibilities

  • 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.
  • Utilise 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.
  • Contribute to the development of groundbreaking AI solutions that drive business success and push the boundaries of artificial intelligence.

Education

Required education: None. 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).

Screening

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).

Equal Opportunity

IBM is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, 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.

Senior Data Scientist employer: IBM

At IBM Consulting UK FutureNow, we pride ourselves on being an exceptional employer that champions innovation and professional growth. Our flexible and inclusive work culture fosters collaboration with industry leaders while providing extensive benefits such as generous leave policies, comprehensive health coverage, and continuous learning opportunities. Join us to make a meaningful impact in the world of AI and hybrid cloud, all while enjoying a supportive environment that values your unique contributions.

IBM

Contact Details:

IBM Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist

Tip Number 1

Network like a pro! Reach out to current employees at IBM Consulting through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Show off your skills in action! Consider creating a portfolio of your AI projects or contributions to open-source initiatives. This gives us tangible proof of what you can bring to the table.

Tip Number 3

Prepare for those interviews! Brush up on your technical knowledge, especially around Python and AI frameworks. We want to see how you think, so practice explaining your thought process clearly.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at IBM Consulting.

We think you need these skills to ace Senior Data Scientist

Python
AI frameworks (TensorFlow, PyTorch, Keras)
Foundation models
Large language models
Cloud platforms (AWS, Azure, GCP)
Natural Language Processing (NLP)
Machine Learning (ML)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with AI frameworks like TensorFlow or PyTorch, and don’t forget to showcase your Python skills. We want to see how your background aligns with what we’re looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills can contribute to our innovative projects. Keep it engaging and personal – we love to see your personality come through!

Showcase Your Projects:If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s a personal project or something from your previous job, we want to see your hands-on experience with AI solutions and data analysis.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our company culture there!

How to prepare for a job interview at IBM

Know Your Tech Inside Out

Make sure you’re well-versed in Python and the AI frameworks mentioned in the job description, like TensorFlow and PyTorch. Brush up on your understanding of foundation models and large language models, as these will likely be key discussion points during your interview.

Showcase Your Problem-Solving Skills

Prepare to discuss specific examples where you've successfully delivered AI solutions. Think about challenges you faced, how you approached them, and the impact of your work. This will demonstrate your problem-solving abilities and your experience in a professional setting.

Communicate Clearly and Confidently

Since excellent communication is crucial for this role, practice articulating your thoughts clearly. Be ready to explain complex concepts in simple terms, especially when discussing advanced analytics techniques like NLP and ML. This will show that you can effectively collaborate with team members and clients.

Emphasise Your Mentorship Experience

If you have experience mentoring junior team members, be sure to highlight it. Discuss how you’ve promoted knowledge-sharing within your team, as this aligns with the responsibilities of the role and shows your leadership potential.