At a Glance
- Tasks: Lead a team to integrate AI/ML into core SaaS products and drive innovation.
- Company: Award-winning London FinTech firm with a global presence.
- Benefits: Hybrid work model, career progression, and the chance to shape the future of finance.
- Other info: Dynamic role with opportunities for growth in an evolving tech landscape.
- Why this job: Join a pioneering team and make a real impact in the FinTech industry.
- Qualifications: 3-4 years in Machine Learning, AI, and team management experience required.
The predicted salary is between 70000 - 90000 £ per year.
Central London - Twice a week in the office. I’m currently working with a well-established London FinTech wealth-management SAAS business, who are looking for a Machine Learning expert with experience in leadership to join their growing team on a hybrid basis! This award-winning company essentially supports their global FinTech clients with their cloud management services, CRM requirements, productivity platforms and scaling up of their technology architecture.
In this role, you will head up the Data Science/Machine Learning team and drive the implementation of AI into all practices across the company, including their core SaaS products which are used by many wealth management, banks and FinTech firms.
More about the company:- Founded in 2012.
- Main office in London but have a further 6 worldwide.
- Work with some of the largest FinTech companies globally.
- Looking to utilise AI/ML to simplify their processes and products.
- Award winning business and part of a wider wealth-management group.
- Twice a week in the office.
- Lead a small team of Data Scientists. Mostly technical but small amount of people management.
- Lead the integration of ML/AI across the company’s core SaaS products.
- Work with clients & multiple teams to ensure AI solutions are implemented smoothly.
- Brand new role which offers great opportunities to progress in an evolving space.
- Good experience in Machine Learning, AI, Data Science, Engineering and SaaS – ideally 3-4 years.
- Experience managing teams from a technical standpoint including people management.
- Confident working with NLP, LLM type solutions.
- Strong technical background in Data, Development & Cloud – Python/Azure.
- Must have recent FinTech or Finance experience. Ideally across Tech or Banks.
Head of Machine Learning employer: Premier IT
Join an award-winning FinTech wealth-management SaaS company based in Central London, where innovation meets opportunity. With a strong focus on employee growth and a collaborative work culture, this organisation offers a unique chance to lead the Data Science/Machine Learning team while implementing cutting-edge AI solutions across their core products. Enjoy the benefits of a hybrid working model, competitive remuneration, and the chance to work with some of the largest names in the industry, all within a supportive environment that values your expertise and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Machine Learning
✨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 Premier IT!
✨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 Machine Learning at Premier IT.
✨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 Premier IT.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Machine Learning at Premier IT, 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 Machine Learning
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 Premier IT, 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 Premier IT. 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 Premier IT
✨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 Premier IT!
✨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.
