At a Glance
- Tasks: Build and deploy AI and data products that create real commercial impact.
- Company: Globally recognised strategy consultancy with a focus on innovation.
- Benefits: Competitive salary, annual bonus, and hybrid working model.
- Other info: Significant ownership from day one with excellent career growth opportunities.
- Why this job: Combine Data Science, consulting, and AI transformation in one exciting role.
- Qualifications: 3 years of experience in data science/analytics required.
The predicted salary is between 60000 - 80000 £ per year.
Do you want to build AI and data products that are actually deployed into client environments?
Have you worked on ML projects and wondered how they create commercial impact at scale?
Are you ready to combine Data Science, consulting, and AI transformation in one role?
A globally recognised strategy consultancy is hiring an Associate Consultant (Data Science) to join its growing European Data & Analytics team.
The group is increasingly moving beyond traditional advisory work into designing, building, and deploying AI and data-driven solutions directly into client environments.
You'll work across a broad range of industries while helping shape the next generation of analytics and AI offerings.
This is an opportunity to sit at the intersection of Data Science, Machine Learning, analytics, and consulting.
You'll have significant ownership from day one, working on both client-facing engagements and internal innovation projects.
**3 years of experience in data science/analytics required**
Key Responsibilities
- Build and deploy Python-based ML and analytics solutions
- Support AI transformation and workflow automation initiatives
- Develop reusable data products and internal tools
- Present findings and demos to technical and non-technical stakeholders
- Work across analytics, modelling, dashboarding, and experimentation
- Collaborate with consultants, digital teams, and client stakeholders
- Contribute ideas and help shape new service offerings
- Key Details
- Salary: £63,000 base + up to £13,000 annual bonus
- Working model: Hybrid (2–3 days per week in Victoria, London)
- Tech stack: Python, SQL, Azure/cloud technologies, ML tooling
- Sponsorship: Exceptional candidates only
Interested? Please apply below.
Data Scientist - Data & AI Strategy Consultancy in Slough employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
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We think this is how you could land Data Scientist - Data & AI Strategy Consultancy in Slough
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We think you need these skills to ace Data Scientist - Data & AI Strategy Consultancy in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
