At a Glance
- Tasks: Build AI and modelling products for bankers, from prototype to production.
- Company: Boutique investment bank in London with a hands-on, small team culture.
- Benefits: Opportunity to work on live deals and make a real impact.
- Other info: Interview includes a live coding exercise; be ready to showcase your skills!
- Why this job: Join a dynamic team and apply your skills to real M&A and advisory challenges.
- Qualifications: Hands-on experience in AI, modelling, and financial services, especially investment banking.
The predicted salary is between 70000 - 90000 £ per year.
A boutique investment bank in London is hiring a Data Scientist at VP level to build AI and modelling products for its bankers.
Hands-on, small team, and what you build goes into production and gets used on live deals.
To be clear on what this is not: it is not a trading or markets seat. The work is banker solutions, built for the people doing the deals.
What you will be doing
- Building generative AI and machine learning products end to end, from prototype through to production.
LLMs and NLP applied to real M&A and advisory problems, not proofs of concept that go nowhere
- Statistical and predictive modelling, from framing the question through to a model in production
- Writing production-quality Python and owning your own code, working closely with engineering
- Working directly with senior bankers, and explaining your models and your reasoning to people who are not data scientists
What they are looking for
- Genuine hands-on depth.
- You are still building models and writing code every day, and you want to keep it that way
- Real AI and modelling rigour, and the ability to talk through the choices you made and why
- A platform and product background rather than a purely business-facing or advisory one
- Financial services experience, ideally investment banking.
- M&A or advisory exposure is a real advantage
- A CV with real substance behind each role, and tenure that shows you build things rather than pass through
Worth knowing before you apply: the interview process includes a live coding exercise, so you will need to be comfortable writing code in front of people.
If that sounds like you, send your CV through, and I will come back to you.
Bowers Partnership is acting as an employment agency in relation to this vacancy
Data Scientist, VP (AI and Modelling) employer: Bowers Partnership
Bowers Partnership is an exceptional employer that prioritises employee growth and well-being, offering a dynamic work culture where innovation thrives. Located in a vibrant area, the company provides competitive compensation, generous bonuses, and a comprehensive benefits package including a non-contributory pension scheme and private healthcare, ensuring that employees feel valued and supported in their professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, VP (AI and Modelling)
✨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 Bowers Partnership!
✨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 Scientist, VP (AI and Modelling) at Bowers Partnership.
✨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 Bowers Partnership.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist, VP (AI and Modelling) at Bowers Partnership, 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 Scientist, VP (AI and Modelling)
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 Bowers Partnership, 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 Bowers Partnership. 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 Bowers Partnership
✨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 Bowers Partnership!
✨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.
