Senior Data Scientist​/ML engineer

As a Senior Data Scientist within our professional services firm, you’ll lead the delivery of analytical solutions that drive measurable value for our clients. From discovery to deployment, you’ll apply the full suite of analytical techniques, from straight forward analysis to advanced techniques to solve real-world problems, working closely with both clients and internal teams to ensure solutions are practical, scalable, and aligned with business goals.

• Design, implement and deliver great analytics solutions including advanced machine learning and statistical models to solve client challenges.
• Communicate complex findings clearly to both technical and non-technical audiences.
• Lead client engagements, ensuring timely delivery of high-quality outputs.
• Collaborate with cross-functional teams to scope and execute projects.
• Continuously improve methodologies and contribute to strategic thinking across the agency.

You love turning complex challenges into clear, practical solutions that make a real difference for clients. You know how to choose the right tools and approaches to deliver impact, fast.

You thrive in dynamic environments, iterating and evolving ideas to meet changing client needs. You bring creativity to the table and aren’t afraid to challenge the status quo.

You’re a natural organiser who keeps projects on track without losing sight of the bigger picture. You spot opportunities to streamline, improve, and deliver smarter…not just faster.

You build strong, respectful relationships across teams and with clients. You know how to bring people together, break down silos, and make sure every voice is heard.

You communicate with clarity and confidence, tailoring your message to different audiences and using data-driven storytelling to influence decisions.

• 3–7 years of experience applying data science in a commercial or consultancy setting.
• Strong proficiency in SQL, Python and/or R.
• Experience with supervised/unsupervised learning, NLP, time series modelling, and cloud analytics platforms.
• Familiarity with deep learning and generative AI (e.g., LLMs).
• Skilled in dashboard development using Power BI, Tableau, or similar tools.
• Excellent communication and stakeholder management skills.
• A proactive, adaptable mindset with a focus on delivering client value.