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 an impactful role.
- Qualifications: 3 years of experience in data science/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 Slough 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 Slough
✨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 experience with AI transformation and workflow automation initiatives, as these are key areas for the role.
✨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 take the initiative to engage directly with us.
We think you need these skills to ace Data Scientist - Top Data Strategy Consultancy in Slough
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 consulting work you've done, as this will show us you're a great fit for the position.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about combining Data Science and consulting. Share specific examples of how you've made an impact in previous roles, especially in deploying AI solutions.
Showcase Your Technical Skills:Since we're looking for someone with a solid background in Python, SQL, and ML tooling, make sure to mention any relevant projects or tools you've used. We want to see your technical prowess 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 regarding your application status.
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.
✨Showcase Your Impact
Prepare to talk about your previous ML projects and how they created commercial impact. Use concrete examples to demonstrate your ability to build and deploy data products that deliver results. This will show that you understand the business side of data science.
✨Engage with Stakeholders
Since this role involves presenting findings to both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Think of ways to make your demos engaging and relatable, so everyone can appreciate the value of your work.
✨Collaborative Mindset
Highlight your experience working in teams, especially in cross-functional settings. Be ready to discuss how you’ve collaborated with consultants and digital teams in the past. This will show that you’re not just a lone wolf but someone who thrives in a collaborative environment.
