At a Glance
- Tasks: Lead data science projects from concept to deployment, making a real impact on client outcomes.
- Company: Rapidly growing data science consultancy with a global presence and a focus on applied AI.
- Benefits: Competitive salary, bonuses, hybrid work model, and opportunities for professional growth.
- Other info: Mentorship opportunities and a dynamic environment focused on client success.
- Why this job: Join a high-performing team and shape the future of data science in financial services.
- Qualifications: 5+ years of hands-on data science experience and strong problem-solving skills.
The predicted salary is between 70000 - 90000 £ per year.
We are excited to be working with a rapidly scaling data science consultancy that is hiring multiple Data Science Managers to support its continued growth across financial services and private equity engagements.
The Company
Our client is a leading data science and engineering consultancy, specialising in delivering applied AI and data science solutions that create measurable commercial value for some of the world's largest private equity funds and their portfolio companies. PE-backed and with a global footprint spanning the US, UK, and India, they have built a high-performing team of several hundred experts and a client base that keeps coming back.
The Role
You'll own the full lifecycle of data science engagements, from shaping ambiguous problems through to deploying production-grade models that embed into real operational workflows. This isn't a research or experimentation role - it's delivery-focused, commercially grounded, and built for someone who thrives at the intersection of rigorous data science and client impact. You'll work across organisations at every stage of data maturity, set the technical standard internally, and develop the next generation of data scientists within the team.
The Candidate
- Deep Applied Data Science Expertise - you bring 5+ years of hands-on experience delivering end-to-end machine learning and statistical solutions in production environments.
- Commercial Problem Solver - you're confident translating ambiguous business challenges into hypothesis-driven data science solutions, and equally comfortable presenting findings and influencing decision-making at the senior client level.
- Technical Leader - you set the bar for code quality, reproducibility, and best practice, and take pride in mentoring and developing others. You understand that the measure of success is client outcomes, not model sophistication.
- Awareness of Generative AI - some exposure to LLMs, RAG pipelines, or agentic workflows is a plus, though strong data science fundamentals will always take priority.
Data Science Manager | Data & AI Consultancy in London employer: Nicholson Glover
Join a dynamic and rapidly scaling data science consultancy that prioritises employee growth and development, offering a collaborative work culture where innovation thrives. With a competitive salary package, including bonuses and benefits, and the flexibility of a hybrid working model in London, this is an excellent opportunity for Data Science Managers to make a significant impact while working alongside industry experts on high-profile projects in financial services and private equity. The company fosters a supportive environment that encourages continuous learning and mentorship, ensuring that you can advance your career while contributing to meaningful client outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Manager | Data & AI Consultancy in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Nicholson Glover!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Manager | Data & AI Consultancy at Nicholson Glover.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Nicholson Glover.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Manager | Data & AI Consultancy at Nicholson Glover, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Manager | Data & AI Consultancy in 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Nicholson Glover, 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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Nicholson Glover. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Nicholson Glover
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Nicholson Glover!
✨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.
