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For Companies At a Glance
- Tasks: Shape the future of AI by delivering innovative Data Science solutions.
- Company: Dynamic consulting firm at the forefront of GenAI and Data Science.
- Benefits: Bonus scheme, private medical, 25 days holiday, and funded certifications.
- Other info: Hybrid work model with opportunities for mentorship and career growth.
- Why this job: Make a real impact by translating complex AI into business insights.
- 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
Consultant Data Analyst in London employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Consultant Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that dream role.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best projects, especially those involving Data Science and GenAI. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions related to Data Science and AI. Be ready to explain your thought process and how you’ve tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can bring their unique skills to our team. Your next opportunity could be just a click away!
We think you need these skills to ace Consultant Data Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Consultant Data Analyst role. Highlight your Python and Machine Learning expertise, and don’t forget to mention any consulting experience you've had!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Data Science and GenAI. Share specific examples of how you've delivered impactful solutions in the past.
Showcase Your Communication Skills: Since this role involves explaining complex concepts to clients, make sure your application demonstrates your ability to communicate clearly. Use straightforward language and avoid jargon where possible.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at DeepRec.ai
✨Know Your Data Science Stuff
Make sure you brush up on your Python and Machine Learning foundations. Be ready to discuss the full Data Science lifecycle and how you've applied it in past projects. This will show that you’re not just familiar with the theory but can also bring practical experience to the table.
✨Explain Like You're Talking to a Client
Practice translating complex AI concepts into simple, clear business insights. During the interview, think about how you would explain your work to a client who might not have a technical background. This will demonstrate your ability to communicate effectively and make your insights accessible.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've evaluated and validated models. Highlight how you’ve challenged outputs and linked AI solutions to real business value. This will help you stand out as someone who understands the impact of their work beyond just the numbers.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask them about their current projects or challenges they face in the consulting space. This shows your interest in the role and helps you gauge how you can contribute to their team.