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For Companies At a Glance
- Tasks: Deliver innovative Data Science and GenAI solutions that drive real business impact.
- Company: Join a forward-thinking consultancy at the heart of AI transformation.
- Benefits: Enjoy a bonus scheme, private medical, and up to 25 days holiday.
- Other info: Hybrid work model with opportunities for professional growth and funded certifications.
- Why this job: Shape the future of AI while working on exciting client-facing projects.
- Qualifications: Strong Python skills and experience in the full Data Science lifecycle.
The predicted salary is between 50000 - 70000 £ per year.
Location: London (Hybrid)
Roles: Multiple
Seniority: Junior to Experienced
The Opportunity
Work at the intersection of Data Science and GenAI — not just using AI tools, but shaping how they are evaluated, trusted, and delivered to enterprise clients. This is a consulting role for Data Scientists who can go beyond models and clearly explain why they work, how they’re validated, and the business impact they drive.
The Role
- Deliver end-to-end Data Science and GenAI solutions
- Build and evaluate ML and LLM-based models
- Define metrics, validation approaches, and evaluation frameworks
- Translate complex AI outputs into clear business insights
- Work on PoCs, prototypes, and client-facing innovation projects (Senior/Managing)
- Lead stakeholders and mentor junior consultants
What You’ll Bring:
- Strong Python and Machine Learning foundations
- Experience across the full Data Science lifecycle
- Solid understanding of model evaluation, validation, and accuracy metrics
- Exposure to GenAI (LLMs, agentic AI, or similar)
- Ability to confidently explain technical concepts to clients
- Consulting or client-facing experience preferred
What Makes You Stand Out:
- You understand why models perform the way they do
- You can challenge outputs, not just generate them
- You can link AI solutions to real business value and ROI
Benefits:
- Bonus scheme
- Up to 10% pension
- Private medical
- 25 days holiday option to buy more
- Life assurance & income protection
- Funded certifications
Data Science Consultant in London employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Consultant in London
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, and conferences related to Data Science and GenAI. It's a great way to connect with potential employers and showcase your passion for the field.
✨Tip Number 2
Practice your pitch! Be ready to explain your projects and experiences in a way that highlights your understanding of model evaluation and business impact. We want you to shine in those interviews!
✨Tip Number 3
Don’t just apply anywhere—focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to show how you can add value to their team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make decisions.
We think you need these skills to ace Data Science Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Science Consultant role. Highlight your experience with Python, Machine Learning, and any GenAI projects you've worked on. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about Data Science and how you can bring value to our team. Don’t forget to mention your consulting experience and how you can translate complex AI concepts into business insights.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it’s a PoC or a prototype, we love seeing real examples of your work and how you’ve tackled challenges in the Data Science lifecycle.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at DeepRec.ai
✨Know Your Data Science Inside Out
Make sure you have a solid grasp of the data science lifecycle and can discuss your experience with Python and machine learning. Be ready to explain how you've built and evaluated models, as well as the metrics you used for validation.
✨Translate Tech Speak into Business Language
Since this role involves client-facing interactions, practice explaining complex AI concepts in simple terms. Think about how you can link technical outputs to real business value and ROI, as this will impress your interviewers.
✨Showcase Your Consulting Skills
If you have prior consulting experience, be prepared to share specific examples of how you've led stakeholders or mentored junior consultants. Highlight any projects where you delivered innovative solutions that made a difference.
✨Prepare for Scenario-Based Questions
Expect questions that challenge you to think critically about model performance and evaluation. Prepare to discuss scenarios where you had to validate a model's output or address discrepancies, showcasing your analytical skills.