At a Glance
- Tasks: Develop and deploy data science solutions that make a real impact for clients.
- Company: Globally recognised strategy consultancy with a focus on Data Science and AI.
- Benefits: £63,000 base salary, up to 20% bonus, and hybrid working.
- Other info: Collaborative environment with excellent learning and career progression opportunities.
- Why this job: Gain early ownership of projects and influence real-world decisions with your skills.
- Qualifications: Strong Python skills and a proactive approach to problem-solving.
The predicted salary is between 63000 - 75600 £ per year.
This role stands out for the breadth, pace and impact of the work. You will sit at the heart of a growing Data Science and Analytics capability, combining consulting exposure with hands-on delivery across analytics, applied data science and AI transformation. It is a chance to build solutions that are not just advised on, but designed, built and deployed into real client environments.
They are a globally recognised strategy consultancy with a strong and expanding investment in Data Science, Analytics and AI across Europe. The organisation works across a wide range of industries and is increasingly focused on delivering practical, technical solutions alongside traditional strategy work. Their Data and Analytics team collaborates closely with consultants and a digital product group to create tools and systems with long-term impact.
You will work across both client delivery and internal innovation, gaining early ownership and exposure to varied projects.
- Deliver analytics and applied data science solutions for client engagements
- Build dashboards, perform statistical analysis and develop machine learning models
- Support AI workflow automation and internal data or AI product development
- Deploy systems directly into client environments
- Contribute to stakeholder workshops, demos and problem-solving sessions
- Work across sectors including healthcare, life sciences, transport and logistics, and financial services
Your skills & experience:
- Strong commercial Python capability with solid data science and ML foundations
- Confidence communicating complex ideas clearly to non-technical audiences
- Good coding and software engineering practices
- A proactive, self-starting approach and comfort working with ambiguity
- Interest in applied AI, automation and technology-led transformation
Experience with SQL, cloud platforms, deployment, APIs or LLM-based workflows would be beneficial but is not essential.
What they offer:
- £63,000 base salary with up to 20% annual bonus
- Hybrid working from a central London office
- Early responsibility and autonomy on high-impact work
- Exposure to AI transformation and system deployment projects
- Strong learning culture with clear progression as the team continues to scale
- Supportive, high-performing and collaborative environment
If you are looking for a role where your data science skills influence real decisions and real systems, apply now to learn more.
Associate Consultant (Data Science and AI) in London employer: Harnham
As a globally recognised strategy consultancy, this company offers an exceptional work environment in London Victoria, where you can thrive in a supportive and collaborative culture. With a strong focus on Data Science, Analytics, and AI, employees benefit from early responsibility on impactful projects, a robust learning culture, and the opportunity to influence real-world decisions through innovative solutions. The hybrid working model and competitive compensation package, including a generous bonus structure, further enhance the appeal of joining this dynamic team.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Consultant (Data Science and AI) 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 Associate Consultant role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, dashboards, and any machine learning models you've built. This will give potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common interview questions. Be ready to explain complex ideas in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Associate Consultant (Data Science and AI) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Associate Consultant role. Highlight your Python capabilities, data science projects, and any relevant experience in AI transformation to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention specific projects or experiences that demonstrate your skills.
Showcase Your Communication Skills:Since you'll be communicating complex ideas to non-technical audiences, it's important to showcase your ability to simplify technical jargon. Use clear and concise language in your application to demonstrate this skill.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of being noticed. It’s the quickest way for us to receive your application and get you on the path to joining our awesome team!
How to prepare for a job interview at Harnham
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills and understand the fundamentals of data science and machine learning. Be ready to discuss specific projects you've worked on, especially those involving analytics or AI transformation.
✨Communicate Like a Pro
Since you'll be explaining complex ideas to non-technical audiences, practice simplifying your explanations. Use examples from your past experiences to demonstrate how you can make intricate concepts accessible.
✨Show Your Problem-Solving Skills
Prepare for scenario-based questions where you might need to solve a problem on the spot. Think about how you would approach real client challenges and be ready to share your thought process.
✨Be Ready to Discuss Collaboration
This role involves working closely with various teams, so highlight your teamwork experiences. Share examples of how you've contributed to group projects, especially in a consulting or technical environment.
