At a Glance
- Tasks: Lead innovative Data Science projects that make a real-world impact.
- Company: High-growth consultancy expanding its AI & Digital capabilities.
- Benefits: Competitive salary, 25% bonus, and fully expensed travel.
- Other info: Frequent travel across the UK with excellent career growth opportunities.
- Why this job: Shape the future of AI while collaborating with top industry partners.
- Qualifications: 5+ years in Data Science/ML and consultancy experience required.
The predicted salary is between 85000 - 130000 £ per year.
A high‑growth consultancy is expanding its AI & Digital capability, hiring multiple Data Science and Machine Learning leaders at Lead level. This team solves complex, real‑world problems across Consumer, Public Sector and Defence, working closely with major AI partners.
What You’ll Do
- Lead end‑to‑end delivery of DS/ML/AI solutions with measurable commercial or operational impact
- Shape, design and implement complex client programmes
- Influence senior stakeholders and guide client decision‑making
- Coach and support junior consultants as the capability scales
- Collaborate with internal technology and consulting teams across multiple sectors
Role Requirements
- 5+ years’ experience in Data Science / Machine Learning
- Experience working in a consultancy or professional services environment (essential)
- Proven track record delivering real‑world, outcome‑driven projects (KPIs, ROI, efficiency, growth etc.)
- Ability to engage senior stakeholders and operate in ambiguous client environments
- Strong problem‑solving skills and intellectual curiosity
Travel Expectations
- Frequent UK client travel – typically 2–3 days per week on-site (London, Manchester, Edinburgh etc.)
- Some projects (e.g., Defence or secure Public Sector) may require full‑time on‑site work
- All travel fully expensed
- Candidates must be comfortable with regular travel as a core part of the role
Sectors & Impact Areas
- Consumer (personalised AI, customer analytics, digital optimisation)
- Public Sector (AI to improve long‑term care, operational efficiency, citizen services)
- Defence & Infrastructure (complex system optimisation, production acceleration)
If you are keen, apply below!
Lead Data Science Consultant in Cambridge employer: Harnham
As a Lead Data Science Consultant at our high-growth consultancy, you will be part of a dynamic team that thrives on solving complex, real-world problems across various sectors, including Consumer, Public Sector, and Defence. We offer a collaborative work culture that values innovation and professional development, with opportunities to coach junior consultants and influence senior stakeholders. With competitive compensation, a generous bonus structure, and fully expensed travel for client engagements, this role provides a meaningful and rewarding career path in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Science Consultant in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. Attend industry events or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially in AI and digital solutions. Be ready to discuss how your experience aligns with their needs and how you can deliver measurable impact.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've tackled complex challenges in previous roles. Highlight your ability to influence stakeholders and drive decision-making.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Lead Data Science Consultant in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Science Consultant role. Highlight your experience in Data Science and Machine Learning, especially any consultancy work you've done. We want to see how your skills align with the job description!
Showcase Your Impact:When writing your application, focus on the measurable impact of your previous projects. Use specific examples that demonstrate your ability to deliver real-world outcomes, like KPIs or ROI. This will help us see your potential for making a difference!
Engage with the Role Requirements:Address the key requirements mentioned in the job description directly in your application. Talk about your experience engaging with senior stakeholders and navigating ambiguous environments. We love seeing candidates who can connect their background to what we need!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss specific projects you've worked on, especially those that had measurable impacts. They’ll want to see how you’ve delivered real-world solutions, so have some solid examples at the ready.
✨Understand the Consultancy Landscape
Since this role is in a consultancy environment, it’s crucial to understand how consultancies operate. Familiarise yourself with the challenges they face and be prepared to discuss how you can influence senior stakeholders and guide client decision-making effectively.
✨Show Off Your Problem-Solving Skills
Prepare to tackle some hypothetical scenarios during the interview. They’ll likely ask you to solve complex problems on the spot, so practice articulating your thought process clearly. Highlight your intellectual curiosity and how it drives your approach to problem-solving.
✨Be Ready for Travel Talk
Since the role involves frequent travel, be prepared to discuss your flexibility and comfort with being on-site at various locations. Share any previous experiences you have with travel in a professional context, and express your enthusiasm for working closely with clients across the UK.
