Lead Data Scientist - AI Discovery & Ranking, Equity

Lead Data Scientist - AI Discovery & Ranking, Equity

Full-Time 48000 - 72000 £ / year (est.) On-site
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At a Glance

  • Tasks: Architect and own the modelling engine for an innovative AI platform.
  • Company: Fast-growing AI company in the UK with a focus on innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a dynamic team and be part of the next era of technology.
  • Why this job: Make a real impact on product discovery and shape the future of AI.
  • Qualifications: Experience in search and ranking systems at scale is essential.

The predicted salary is between 48000 - 72000 £ per year.

A fast-growing AI company in the United Kingdom is seeking a Lead Data Scientist to architect and own the modelling engine that powers their innovative platform. In this hands-on role, you will design systems that identify key signals, optimize latency and costs, and shape the database architecture. If you have experience in search and ranking systems at scale and want to have a real impact on product direction, we invite you to apply and help shape the next era of product discovery.

Lead Data Scientist - AI Discovery & Ranking, Equity employer: Zazu Digital Talent

Join a forward-thinking B2B technology scale-up that champions a fully remote work culture, fostering collaboration and connection through regular in-person offsites. With a strong emphasis on transparency and structured compensation, this role offers the opportunity to lead a respected People function while driving meaningful change in a dynamic environment. Enjoy competitive salary packages, stock options, and comprehensive health benefits, all while being part of a company that values your contributions and supports your professional growth.

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Contact Details:

Zazu Digital Talent Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Scientist - AI Discovery & Ranking, Equity

✨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 Zazu Digital Talent!

✨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 - AI Discovery & Ranking, Equity at Zazu Digital Talent.

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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 Zazu Digital Talent.

✨Apply Directly through Our Website

When you find a suitable opening like Lead Data Scientist - AI Discovery & Ranking, Equity at Zazu Digital Talent, 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 - AI Discovery & Ranking, Equity

Data Science
Modelling Engine Architecture
Search and Ranking Systems
Database Architecture
Signal Identification
Latency Optimization
Cost Optimization

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 Zazu Digital Talent, 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 Zazu Digital Talent. 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 Zazu Digital Talent

✨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 Zazu Digital Talent!

✨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.