At a Glance
- Tasks: Help enterprises unlock value from behavioural data using advanced AI and machine learning.
- Company: Fast-growing AI analytics company with a collaborative culture.
- Benefits: Flexible working, 26 days holiday, pension scheme, and training opportunities.
- Other info: Exciting growth opportunities in a fast-paced environment.
- Why this job: Join a dynamic team and make a real impact with cutting-edge AI technology.
- Qualifications: Strong data science skills and ability to communicate with diverse stakeholders.
The predicted salary is between 55000 - 70000 £ per year.
A fast-growing AI analytics company is seeking a Data Science Consultant to help enterprise organisations unlock value from large-scale behavioural data using advanced machine learning and AI technologies. The company builds cutting-edge behavioural AI platforms used by global enterprises across telecoms, financial services, retail and digital industries. Their technology processes billions of customer interaction events daily, enabling organisations to better understand behaviour, personalise experiences and drive measurable commercial outcomes.
Recognised as one of Europe’s fastest-growing technology companies, the business is expanding its Client Success team and is looking for someone who combines strong data science capability with a consultative mindset. This role is ideal for data scientists looking to become more client-facing, or technical consultants with a strong machine learning background who want to work with modern AI tooling and large-scale data.
The Role
You will join the Client Success team, working closely with enterprise customers, product teams and data engineers to deliver real-world AI and data science solutions. This is a hybrid role combining technical delivery and consulting, helping customers translate behavioural data into actionable insights and measurable ROI. The position is approximately 50% technical data science and 50% client consulting.
Key Responsibilities
- Work with enterprise customers to understand complex business problems and translate them into data science solutions
- Build and prototype machine learning models to generate behavioural insights and predictive capabilities
- Leverage the company’s core data science platform to deliver measurable value to customers
- Design and engineer new features and models to improve understanding of customer behaviour
- Communicate technical concepts clearly to non-technical stakeholders including customers, sales teams and product teams
- Help customers develop an understanding of how behavioural AI models drive business outcomes
- Collaborate with product and engineering teams to identify new opportunities for data science innovation
- Contribute to the internal data science community and share best practices
Skills & Experience
Essential
- Strong ability to break down complex client problems and apply data science solutions that drive measurable business outcomes
- Experience building and evaluating machine learning models (e.g. clustering, NLP, deep learning)
- Experience with data exploration, feature engineering and model evaluation
- Familiarity with modern AI tooling and frameworks (e.g. agentic AI, MCP servers or similar AI infrastructure)
- Ability to work closely with both technical and non-technical stakeholders
- Strong communication skills with the ability to explain technical ideas in commercial terms
- Willingness to travel occasionally to meet enterprise clients (typically 1–2 short trips per quarter)
Desirable
- Experience working with B2B data platforms or analytics products
- Experience with Spark SQL, PySpark or distributed data systems
- Experience with large-scale data tooling (e.g. Spark, Hive, Databricks)
- Cloud experience (AWS – S3, EMR etc.)
- Exposure to LLMs, generative AI, agentic systems or causal AI
The Company
- High-growth AI and behavioural analytics company
- Enterprise customers across multiple industries
- Platform processes billions of behavioural data events daily
- International team with offices across Europe, the US and the Middle East
- Collaborative and fast-moving environment with strong opportunities for impact and growth
Benefits
- Flexible / hybrid working
- 26 days holiday (increasing with service)
- Pension scheme
- Life assurance
- Income protection
- Enhanced parental leave
- Cycle to work scheme
- Training and development opportunities
- Regular company socials and events
Seniority Level: Mid-Senior level
Industry: Software Development
Employment Type: Full-time
Job Functions: Consulting
Skills: Data Science, Artificial Intelligence (AI), Business, Sales, Business Insights, Apache Spark, Analytics, Machine Learning, Pattern Recognition, Financial Services
Consultant Data Analyst in London employer: Intent HQ
Join a fast-growing AI analytics company in London, where you will have the opportunity to work at the forefront of behavioural data science and machine learning. With a collaborative culture that values innovation and personal growth, employees enjoy flexible hybrid working, extensive training opportunities, and a supportive environment that encourages impactful contributions. This role not only allows you to engage with enterprise clients but also to be part of a dynamic team that is shaping the future of AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant Data Analyst in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in data science or consulting. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and data science projects. This is your chance to demonstrate how you can turn complex data into actionable insights. Make sure to highlight any real-world applications you've worked on.
✨Tip Number 3
Practice your pitch! When you get the chance to chat with potential employers, be ready to explain how you can solve their business problems using data science. Tailor your message to show how your skills align with their needs, especially in a client-facing role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us drive measurable outcomes for our clients. Keep an eye on our careers page and make sure your application stands out!
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 speaks directly to the role of Data Science Consultant. Highlight your experience with machine learning and data science solutions, and don’t forget to mention any client-facing roles you've had. We want to see how you can bring value to our enterprise customers!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your skills align with our needs. Be sure to mention your consultative mindset and how you can help clients unlock value from their data.
Showcase Your Technical Skills:In your application, make sure to highlight your experience with modern AI tooling and frameworks. We’re looking for someone who can build and prototype machine learning models, so don’t hold back on sharing your relevant projects or achievements!
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 get all the updates. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Intent HQ
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially around machine learning models and AI technologies. Be ready to discuss your experience with building and evaluating models, as well as how you've applied these solutions to real-world business problems.
✨Understand the Client's Needs
Before the interview, research the company and its clients. Think about how you can translate complex data into actionable insights for them. Being able to demonstrate a consultative mindset will show that you're not just a techie but someone who can connect with clients and understand their challenges.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to communicate with both technical and non-technical stakeholders, so being able to break down complex ideas will be key. Consider preparing examples of how you've done this in past roles.
✨Show Your Collaborative Spirit
This role involves working closely with various teams, so highlight your teamwork skills. Be prepared to discuss how you've collaborated with product teams or engineers in the past to deliver successful projects. Showing that you can work well in a hybrid environment will set you apart.
