At a Glance
- Tasks: Design and deliver AI solutions that unlock value from large-scale data.
- Company: Join a multi-award-winning AI & Analytics company transforming global enterprises.
- Benefits: 26+ days holiday, flexible working, wellbeing support, and professional development.
- Other info: Hybrid setup with 3 days in a stunning London office and genuine career growth.
- Why this job: Work on impactful AI projects with major clients in a dynamic environment.
- Qualifications: Strong understanding of machine learning and hands-on experience with AI tools.
The predicted salary is between 36000 - 60000 £ per year.
We’re working with a multi-award-winning AI & Analytics company that’s transforming how global enterprises use data to understand and engage their customers. They’ve been recognised as one of Europe’s fastest-growing tech firms and are trusted by some of the biggest household names across telecoms, financial services, and retail. This is a rare opportunity to join a fast-scaling AI business that’s already delivering tangible commercial impact — from billions of behavioural data points to measurable ROI.
The Opportunity
This role sits at the intersection of AI, data science, and consulting. You’ll work directly with major enterprise clients, helping them apply advanced analytics and AI models to real-world business challenges — from customer insight to personalisation and growth. Ideal for Data Scientists looking to move into a more strategic, client-facing role, or Technical Consultants wanting to go deeper into applied AI and data science. Expect a balance of hands-on technical delivery (≈50%) and consultative problem-solving (≈50%).
What You’ll Be Doing
- Designing and delivering AI/ML-driven solutions that unlock value from large-scale behavioural data
- Building features, models and proofs-of-concept that help clients truly understand their customers
- Translating complex technical concepts into clear, commercial insights for business stakeholders
- Collaborating with data engineers, product teams and customer success to deliver measurable outcomes
- Acting as an internal evangelist for applied data science and innovation
What You’ll Bring
Must-haves
- Strong understanding of machine learning techniques — clustering, NLP, deep learning
- Hands-on experience with feature engineering, model evaluation and data exploration
- Knowledge of modern AI tooling (RAG, fine-tuning, LLMs, agentic frameworks)
- Ability to bridge technical and commercial conversations confidently
- A logical, creative problem-solver who can turn data into ROI
Nice-to-haves
- Spark / PySpark / Databricks or distributed data experience
- Familiarity with AWS (S3, EMR) or Hive-based environments
- Consulting or enterprise B2B experience
- Exposure to causal AI, agentic systems, or LLM applications
Why Join
- Join a multi-award-winning AI innovator operating at global scale
- Work on meaningful, high-impact AI projects with blue-chip clients
- Hybrid setup — 3 days per week in a stunning London office
- Inclusive, high-performance culture with genuine career growth
- 26+ days holiday, flexible working, wellbeing support, and professional development
Data Science Consultant in London employer: Delta Humans
Join a multi-award-winning AI & Analytics company that is not only transforming the way global enterprises engage with data but also fostering an inclusive and high-performance culture. With a hybrid working model in a stunning London office, employees enjoy meaningful career growth opportunities, generous holiday allowances, and a commitment to wellbeing and professional development, making it an exceptional place for Data Science Consultants to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Consultant in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and data science space. Attend meetups, webinars, or industry events to meet potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This will give you an edge when discussing your experience with potential employers during interviews.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and consulting. Be ready to discuss how you've solved real-world problems using AI and analytics, as this is what employers are really interested in.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a better chance of landing that dream role.
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 speaks directly to the role of Data Science Consultant. Highlight your experience with machine learning techniques and any consulting work you've done. 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 excited about this opportunity and how you can help our clients tackle their business challenges with AI. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a proof-of-concept or a model you've built, we love seeing real examples of your work and how you've applied your skills in practical situations.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
How to prepare for a job interview at Delta Humans
✨Know Your AI Inside Out
Make sure you brush up on your machine learning techniques, especially clustering, NLP, and deep learning. Be ready to discuss how you've applied these in real-world scenarios, as this role is all about translating complex concepts into actionable insights.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled data challenges in the past. Think about specific projects where you turned data into ROI. This will demonstrate your logical and creative problem-solving abilities, which are crucial for this position.
✨Familiarise Yourself with the Tools
Get comfortable with modern AI tooling like RAG, fine-tuning, and LLMs. If you have experience with Spark, PySpark, or AWS, be sure to highlight that. The more you can speak the language of the tools, the better you'll connect with your interviewers.
✨Practice Your Communication Skills
Since this role involves client-facing responsibilities, practice explaining technical concepts in a way that's easy for non-technical stakeholders to understand. Role-play with a friend or use mock interviews to refine your ability to bridge those technical and commercial conversations.
