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: Opportunity for significant ownership and career growth in a dynamic environment.
- Why this job: Combine Data Science, consulting, and AI transformation in an impactful role.
- Qualifications: 3 years of experience in data science or analytics required.
The predicted salary is between 63000 - 76000 £ 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 requiredKey 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 London employer: Harnham
Join a globally recognised strategy consultancy that offers a dynamic work environment where innovation thrives. With a strong focus on employee growth, you will have the opportunity to work on impactful AI and data projects across various industries, while enjoying a competitive salary and hybrid working model in the heart of London. The company fosters a collaborative culture that encourages creativity and provides significant ownership from day one, making it an excellent employer for those looking to make a meaningful impact in the field of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Top Data Strategy Consultancy in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with alumni from your university. You never know who might have a lead on that perfect Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and data products. This is your chance to demonstrate how you can create commercial impact at scale, just like the consultancy is looking for.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your past experiences and how they relate to building and deploying analytics solutions. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist - Top Data Strategy Consultancy in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your experience in ML projects and any relevant consulting work to show us you’re a great fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of how you've built and deployed data products, and how they made an impact in previous roles.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and any cloud technologies you’ve worked with. We want to see how you can contribute to our AI transformation initiatives right from the start!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Harnham
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and any relevant ML tooling. Brush up on your knowledge of Azure and cloud technologies, as these will likely come up during the interview. Being able to discuss specific projects where you've used these tools will really impress the interviewers.
✨Showcase Your Impact
Prepare to discuss how your previous work in data science and analytics has created commercial impact. Think about specific examples where your contributions led to measurable results. This will demonstrate your ability to not just build solutions, but also understand their value in a business context.
✨Engage with Stakeholders
Since this role involves presenting findings to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare a few examples of how you've successfully communicated your work to diverse audiences in the past.
✨Be Ready for Collaboration
This position requires working closely with consultants and client stakeholders. Be prepared to discuss your experience in collaborative environments and how you’ve contributed to team success. Highlight any cross-functional projects you've been part of to show you can thrive in a team setting.
