At a Glance
- Tasks: Lead a 20-person team in Data Science & AI, driving innovation and operational efficiency.
- Company: Established FinTech challenger in London, focused on cutting-edge data solutions.
- Benefits: Competitive salary of £180,000 - £220,000 and flexible working arrangements.
- Other info: Opportunity to shape the future of AI products and drive significant revenue growth.
- Why this job: Join a dynamic team at the forefront of AI technology and make a real impact.
- Qualifications: Exceptional experience in Data Science/AI and proven leadership skills.
Our client, one of the most established FinTech challengers in the London market, are on the lookout for a Head of Data Science & AI to join their ranks. This is not an organization which is run of the mill and it is a Data company at its heart - therefore we are looking for a Head of Data Science & AI who is not just great at leading teams, but also who has technical credibility in previous roles and can still challenge the technical leaders.
As a Head of Data Science & AI, you could argue that it is more Director level capabilities given you will be responsible for a 20 person team and the whole of Data Science & AI. This company is putting AI at the heartbeat of what they are doing in terms of internal operational efficiency as well as putting into their product and they will be looking at building new AI products to support their already impressive, month on month, revenue growth.
If this Head of Data Science & AI sounds of interest to you, we need to see the following:
- An exceptional background in the hands on Data Science / AI field
- Experience managing multiple teams in a more recent career move
- Tangible / financial outcomes from your work
- Ability to challenge leaders in DS as well as strategic leadership
- Outstanding academics and stakeholder management skills
And for the most part (and purposefully broad) - that is it so apply now for immediate consideration.
Head of Data Science & AI in London employer: Burns Sheehan
As a leading FinTech challenger in London, our client offers an exceptional work environment that fosters innovation and collaboration. With a strong focus on AI and Data Science, employees are empowered to drive meaningful change while enjoying competitive salaries and flexible working arrangements. The company prioritises professional growth, providing ample opportunities for advancement within a dynamic and supportive culture.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science & AI 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 Burns Sheehan!
✨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 Head of Data Science & AI at Burns Sheehan.
✨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 Burns Sheehan.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data Science & AI at Burns Sheehan, 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 Head of Data Science & AI 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 Burns Sheehan, 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 Burns Sheehan. 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 Burns Sheehan
✨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 Burns Sheehan!
✨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.
