At a Glance
- Tasks: Lead analytical and machine learning projects, ensuring robust and repeatable outputs.
- Company: Dynamic company in London with a fantastic environment and supportive people.
- Benefits: Competitive salary of £64K plus a 5% bonus, hybrid work model.
- Other info: Great opportunity for career growth and mentoring junior peers.
- Why this job: Make your mark on exciting initiatives while collaborating with experts in the field.
- Qualifications: 4+ years in data science, strong Python skills, and experience in ML projects.
The predicted salary is between 63000 - 77000 £ per year.
The role is actually titled as a "Lead", that is due to owning your particular workstream, so you can put your own stamp on things, it is not leading a team however. It can suit people with as little as 4 years experience. The salary is 64K base with a 5% bonus (half of which is guaranteed, the other half, usually achieved).
Hybrid - 2 days a week close to London bridge. (Some weeks may be one day).
You 'll be working on some really interesting initiatives and have the below responsibilities:
- Lead the delivery of analytical and machine learning workstreams, ensuring models and outputs are robust, repeatable, and aligned with business needs.
- Collaborate with subject matter experts, architects, and product teams to ensure analytical outputs are technically sound and ready for operational use.
- Uphold best practices in coding, documentation, reproducibility, version control, and model assurance.
- Occasionally mentoring more junior peers.
They're pretty cloud agnostic, Azure would be great though. Looking for the below skill set:
- Strong experience delivering applied data science or ML projects end‑to‑end, including feature engineering, model selection, evaluation, and iteration.
- Strong experience developing solutions in Python, with good practices around code structure, testing, and version control.
- Experience in translating business problems into analytical approaches, and designing modelling strategies.
Lead Data Scientist - London employer: Revoco
Revoco is an excellent employer that prioritises a culture of collaboration and innovation, making it an ideal place for a Product Security Engineer to thrive. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside talented professionals in the vibrant city of Bristol. The company values secure-by-design principles, ensuring that your contributions directly impact product quality and security from the outset.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist - 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 Revoco!
✨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 Lead Data Scientist - London at Revoco.
✨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 Revoco.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist - London at Revoco, 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 Lead Data Scientist - 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 Revoco, 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 Revoco. 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 Revoco
✨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 Revoco!
✨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.
