AI Engineering Manager: Lead Data Science & Platform Teams

AI Engineering Manager: Lead Data Science & Platform Teams

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Funding Circle

At a Glance

  • Tasks: Lead a talented team in AI and Machine Learning, driving innovation and delivery.
  • Company: Join Funding Circle, a forward-thinking company in London with a vibrant culture.
  • Benefits: Enjoy a competitive salary, health coverage, and flexible work arrangements.
  • Other info: Great opportunity for career growth and mentoring within a diverse team.
  • Why this job: Make a real impact by shaping the future of AI in a dynamic environment.
  • Qualifications: Proven experience in engineering management and a passion for AI technologies.

The predicted salary is between 60000 - 80000 £ per year.

Funding Circle is seeking an experienced Engineering Manager in London to lead their AI and Machine Learning team. This role involves managing a diverse group of Data Scientists and Engineers while driving the transition to an AI-native organization. You will ensure the delivery of AI infrastructure and production systems, alongside mentoring team members.

The company offers a competitive salary along with benefits like health coverage, a flexible work arrangement, and an engaging company culture.

AI Engineering Manager: Lead Data Science & Platform Teams employer: Funding Circle

Funding Circle is an exceptional employer that fosters a dynamic and inclusive work environment in the heart of London. With a strong emphasis on employee growth, you will have the opportunity to lead innovative AI projects while benefiting from competitive salaries, comprehensive health coverage, and flexible working arrangements that promote work-life balance. Join a culture that values collaboration and creativity, making it a rewarding place to advance your career in technology.

Funding Circle

Contact Details:

Funding Circle Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineering Manager: Lead Data Science & Platform Teams

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 Funding Circle!

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 AI Engineering Manager: Lead Data Science & Platform Teams at Funding Circle.

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 Funding Circle.

Apply Directly through Our Website

When you find a suitable opening like AI Engineering Manager: Lead Data Science & Platform Teams at Funding Circle, 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 AI Engineering Manager: Lead Data Science & Platform Teams

Python
SQL
Data Engineering
Problem-Solving Skills
Communication Skills
Data Pipeline Development
API Integration

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 Funding Circle, 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 Funding Circle. 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 Funding Circle

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 Funding Circle!

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.