Data Science Consultant

Data Science Consultant

Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Deliver innovative Data Science and GenAI solutions that drive real business impact.
  • Company: Dynamic consulting firm at the forefront of AI technology.
  • 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: Shape the future of AI while working on exciting client projects.
  • Qualifications: Strong Python skills and a solid understanding of machine learning.

The predicted salary is between 45000 - 55000 £ 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 employer: DeepRec.ai

Join a forward-thinking company that values innovation and collaboration, where Data Science Consultants play a pivotal role in shaping the future of AI solutions for enterprise clients. With a hybrid work model in London, employees enjoy a supportive culture that fosters professional growth through mentorship and funded certifications, alongside competitive benefits like a bonus scheme and private medical coverage. This is an excellent opportunity to make a meaningful impact while working with cutting-edge technology in a dynamic environment.
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Contact Detail:

DeepRec.ai Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Consultant

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.

✨Tip Number 2

Prepare for those interviews! Research common questions for Data Science roles and practice explaining your projects. We want you to be able to showcase your skills and how they translate into business value.

✨Tip Number 3

Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your passion for Data Science and GenAI. Tailor your approach to show why you’re a perfect fit.

✨Tip Number 4

Follow up after interviews! A quick thank-you email can leave a lasting impression. We believe it shows your enthusiasm and professionalism, which can set you apart from other candidates.

We think you need these skills to ace Data Science Consultant

Python
Machine Learning
Data Science Lifecycle
Model Evaluation
Validation Approaches
Accuracy Metrics
GenAI
LLMs
Client-Facing Experience
Technical Communication
Consulting Skills
Business Insight Translation
Stakeholder Management
Mentoring

Some tips for your application 🫡

Tailor Your CV: Make sure your CV speaks directly 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! Use it to explain why you’re passionate about Data Science and how you can bring value to our team. Don’t forget to mention specific projects or experiences that relate to the job description.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can not only build models but also explain their impact and validate their results. Make sure to highlight these experiences!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join the StudySmarter family!

How to prepare for a job interview at DeepRec.ai

✨Know Your Models Inside Out

Make sure you can explain the models you've worked with in detail. Be ready to discuss how they work, their validation processes, and the metrics you used to evaluate them. This will show your depth of knowledge and ability to communicate complex concepts clearly.

✨Showcase Your Business Impact

Prepare examples of how your data science projects have driven real business value. Whether it's through improved efficiency or increased ROI, being able to link your technical skills to tangible outcomes will impress interviewers and demonstrate your consulting capabilities.

✨Brush Up on GenAI Knowledge

Since this role focuses on GenAI, make sure you're familiar with the latest trends and technologies in this area. Be prepared to discuss how you've applied GenAI in your previous work or how you envision its application in future projects.

✨Practice Client-Facing Scenarios

As this is a consulting role, practice explaining technical concepts to non-technical stakeholders. Role-play common client scenarios where you need to translate complex AI outputs into actionable insights. This will help you build confidence and showcase your communication skills during the interview.

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