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- 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: Enjoy 26+ days holiday, flexible working, and professional development opportunities.
- 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.
- Other info: Hybrid setup with 3 days in a stunning London office and genuine career growth.
The predicted salary is between 36000 - 60000 ÂŁ 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 fastâscaling AI business that's already delivering tangible commercial impact â from billions of behavioural data points to measurable ROI.
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 â from customer insight to personalisation and growth.
Ideal for:
- Data Scientists looking to move into a more strategic, clientâfacing role
- Technical Consultants wanting to go deeper into applied AI and data science
Expect a balance of handsâon technical delivery (â50%) and consultative problemâsolving (â50%).
What You'll Be Doing:
- Designing and delivering AI/MLâdriven solutions that unlock value from largeâscale behavioural data
- Building features, models and proofsâofâconcept 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 â clustering, NLP, deep learning
- Hands-on experience with feature engineering, model evaluation and data exploration
- Knowledge of modern AI tooling (RAG, fineâtuning, LLMs, agentic frameworks)
- Ability to bridge technical and commercial conversations confidently
- A logical, creative problemâsolver who can turn data into ROI
- Nice-to-haves:
- Spark / PySpark / Databricks or distributed data experience
- Familiarity with AWS (S3, EMR) or Hiveâbased environments
- Consulting or enterprise B2B experience
- Exposure to causal AI, agentic systems, or LLM applications
Join a multiâaward-winning AI innovator operating at global scale. Work on meaningful, highâimpact AI projects with blueâchip clients. Hybrid setup â 3 days per week in a stunning London office. Inclusive, highâperformance culture with genuine career growth. 26+ days holiday, flexible working, wellbeing support, and professional development.
Seniority level: MidâSenior level
Employment type: Fullâtime
Job function: Consulting
Industries: Data Infrastructure and Analytics, IT Services and IT Consulting
Data Science Consultant in London employer: Delta Humans
Contact Detail:
Delta Humans Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Science Consultant in London
â¨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage with others, the better your chances of landing that Data Science Consultant role.
â¨Show Off Your Skills
Donât just talk about your experience; showcase it! Create a portfolio of projects that highlight your machine learning techniques and problem-solving skills. This will give potential employers a taste of what you can bring to the table.
â¨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to their specific needs. Mention how your skills in AI and data science can help them tackle their business challenges. Personalisation goes a long way!
â¨Apply Through Our Website
Weâve got some fantastic opportunities waiting for you on our website. Donât miss outâapply directly through us to increase your chances of getting noticed by hiring managers. Letâs get you that dream job!
We think you need these skills to ace Data Science Consultant in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Science Consultant role. Highlight your hands-on experience with machine learning techniques and any consulting experience you have. We want to see how you can bridge the gap between technical and commercial conversations!
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 your background makes you a perfect fit. Donât forget to mention your passion for AI and data science, and how you can contribute to our mission at StudySmarter.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing how you've applied your skills in real-world scenarios. It helps us understand your problem-solving approach!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets into the right hands. Plus, it shows us that youâre genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Delta Humans
â¨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 will show your hands-on experience and understanding of the field.
â¨Translate Tech to Business
Practice explaining complex technical concepts in simple terms. Youâll need to demonstrate your ability to bridge the gap between technical and commercial conversations, so think of examples where you've successfully communicated insights to non-technical stakeholders.
â¨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data science and how you approached solving them. Highlight your logical and creative problem-solving abilities, as this role requires turning data into actionable ROI for clients.
â¨Familiarise Yourself with Tools
Get comfortable with modern AI tooling like RAG, fine-tuning, and LLMs. If you have experience with Spark, AWS, or distributed data environments, be sure to mention it, as this could set you apart from other candidates.
