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, hybrid working model, and performance bonuses.
- Other info: Significant ownership from day one with excellent career growth opportunities.
- Why this job: Combine Data Science, consulting, and AI transformation in an impactful 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 - Top Data Strategy Consultancy in City of London employer: Harnham
Join a globally recognised strategy consultancy that offers an exceptional work environment where innovation thrives. With a hybrid working model based in Victoria, London, you'll enjoy a collaborative culture that encourages professional growth and the opportunity to make a tangible impact through cutting-edge AI and data solutions. Benefit from competitive compensation, including a generous bonus structure, while working alongside industry experts on transformative projects across diverse sectors.
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We think this is how you could land Data Scientist - Top Data Strategy Consultancy in City of London
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We think you need these skills to ace Data Scientist - Top Data Strategy Consultancy in City of London
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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Craft a Tailored Cover Letter:For a full-time role at Harnham, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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✨Brush Up on Your Statistics
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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.
