At a Glance
- Tasks: Design and deploy AI solutions to enhance customer experiences and drive business outcomes.
- Company: Leading global consultancy with a focus on Customer Data & AI.
- Benefits: Competitive salary, bonus, excellent benefits, and hybrid work model.
- Other info: Join a collaborative team that prioritises innovation and career growth.
- Why this job: Work on high-impact projects with top brands and cutting-edge technology.
- Qualifications: 2+ years in Data Science, strong Python skills, and experience with Machine Learning.
The predicted salary is between 50000 - 60000 £ per year.
London (Hybrid)
Competitive Salary + Bonus + Excellent Benefits
You must have full working rights to be considered for this opportunity.
Looking to take the next step in your Data Science consulting career? We're working with a leading global consultancy that is growing its Customer Data & AI practice. This is an exciting opportunity for a Data Scientist with around 2+ years of experience to work on cutting-edge projects across Generative AI, Machine Learning, customer analytics, personalisation, and digital transformation.
You'll help leading brands unlock the value of their customer data, delivering AI and data science solutions that drive better customer experiences and measurable commercial outcomes.
What You'll Be Doing
- Designing, developing, and deploying Machine Learning and Generative AI solutions for customer, marketing, CRM, and digital use cases
- Working with Large Language Models (LLMs) to build and evaluate AI-powered products and solutions
- Owning projects across the full data science lifecycle - from problem definition and solution design through to model development, deployment, testing, and business adoption
- Applying advanced analytics to customer behaviour, personalisation, marketing performance, and digital journey optimisation
- Building predictive, classification, forecasting, and recommendation models that drive commercial decision-making
- Collaborating with multidisciplinary teams and client stakeholders to solve complex business challenges
- Translating technical outputs into actionable business recommendations
What We're Looking For
- Around 2+ years of commercial Data Science experience
- Strong Python programming skills
- Experience using GitHub and software engineering best practices
- Hands-on experience building, evaluating, and deploying Machine Learning models in production environments
- Practical experience applying Generative AI and LLMs to real-world customer, marketing, digital, CRM, or commercial challenges
- Proven end-to-end ownership of Data Science, Machine Learning, or GenAI projects - from identifying opportunities and shaping solutions through to model development, deployment, implementation, and value delivery
- Experience working with customer, marketing, CRM, web, digital, or product datasets
- Strong communication skills and an interest in client-facing consulting work
Why Apply?
- Work with globally recognised brands on high-impact AI and analytics projects
- Gain exposure to cutting-edge GenAI, LLM, and customer data initiatives
- Accelerate your consulting career within a growing Data & AI practice
- Join a collaborative team that values innovation, learning, and continuous development
Interested? Apply now or get in touch for a confidential discussion.
Data Science Consultant (Customer Data & AI) in London employer: Datatech Analytics
Join a leading global consultancy that champions innovation and growth in the Data Science field, particularly within Customer Data & AI. With a hybrid working model based in London, you'll enjoy a competitive salary, bonus structure, and excellent benefits while collaborating with top brands on transformative projects. The company fosters a culture of continuous learning and development, providing ample opportunities for career advancement in a supportive and dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Consultant (Customer Data & AI) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Machine Learning and Generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients and stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Science Consultant (Customer Data & AI) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data Science Consultant role. Highlight your Python programming skills and any hands-on experience with Machine Learning and Generative AI projects.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how your background aligns with our needs. Be specific about your experience with customer data and AI solutions, and don’t forget to show a bit of personality!
Showcase Your Projects:If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing real-world applications of your skills, especially those involving LLMs and customer analytics.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around Machine Learning and Generative AI. Be ready to discuss your past projects in detail, focusing on the challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Since strong Python programming skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation and model building.
✨Understand the Business Impact
Be prepared to translate technical jargon into business value. Think about how your work has driven commercial outcomes in previous roles and be ready to share specific examples of how your data solutions improved customer experiences.
✨Engage with the Interviewers
This role involves client-facing work, so show off your communication skills! Ask insightful questions about the company’s projects and culture, and express your enthusiasm for collaborating with multidisciplinary teams to tackle complex challenges.
