At a Glance
- Tasks: Lead and build a data/ML team while driving innovative projects.
- Company: Almedia, a forward-thinking company in London focused on equity and impact.
- Benefits: Autonomy in your role, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team and influence the technical culture from the ground up.
- Why this job: Shape the future of data/ML with real impact and leadership opportunities.
- Qualifications: Experience in data/ML and strong leadership skills.
The predicted salary is between 85500 - 104500 £ per year.
Almedia in London is seeking a Site Lead for Data & ML to build and lead the London data/ML function from the ground up. You will stay hands-on while growing a team to 5–10 engineers and shape the technical culture with real autonomy over direction and outcomes.
You'll report to the Chief Science Officer and work closely with the CTO to align data/ML initiatives with business goals such as reward optimization, real-time personalization, and offer ranking. Equity is bespoke.
#J-18808-LjbffrLondon Data & ML Site Lead — Equity & Impact employer: APPLY
Hopper is an exceptional employer that fosters an entrepreneurial culture, encouraging innovation and risk-taking within small, dynamic teams. With a competitive salary, generous benefits including 100% coverage of employee insurance premiums and unlimited paid time off, employees are empowered to thrive both personally and professionally. The collaborative, low-process environment allows staff backend software engineers to take ownership of impactful projects while leveraging cutting-edge AI tools, making it a rewarding place to grow your career in the heart of the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land London Data & ML Site Lead — Equity & Impact
✨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 APPLY!
✨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 London Data & ML Site Lead — Equity & Impact at APPLY.
✨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 APPLY.
✨Apply Directly through Our Website
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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 APPLY, 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 APPLY. 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 APPLY
✨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 APPLY!
✨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.
