Data Scientist β€” PoC ML & AI Tool Prototyping in London

Data Scientist β€” PoC ML & AI Tool Prototyping in London

London Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Third Bridge

At a Glance

  • Tasks: Design and prototype innovative ML and AI solutions using cutting-edge data techniques.
  • Company: Join Third Bridge, a leader in data-driven insights and innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on creativity and innovation.
  • Why this job: Make a real impact by developing AI tools that drive business success.
  • Qualifications: Experience in data science, ML techniques, and Python programming.

The predicted salary is between 50000 - 70000 Β£ per year.

Third Bridge is seeking a Data Scientist to design, prototype, and validate Po C solutions across data pipelines, ML models, and AI-enabled internal tools.

You will work with Third Bridge's proprietary data assets and hand off successful proofs to the engineering team for production integration.

Apply supervised and unsupervised ML techniques to commercially relevant problems, develop lightweight Python tools, and prototype AI-assisted features using LLMs and RAG.

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Data Scientist β€” PoC ML & AI Tool Prototyping in London employer: Third Bridge

Third Bridge is an exceptional employer located in Greater London, offering a dynamic work culture that fosters professional growth and development. With competitive salaries, commission opportunities, and a strong emphasis on health and wellbeing, employees are supported in achieving both personal and career goals while contributing to meaningful client relationships.

Third Bridge

Contact Details:

Third Bridge Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Scientist β€” PoC ML & AI Tool Prototyping in 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 Third Bridge!

✨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 Data Scientist β€” PoC ML & AI Tool Prototyping at Third Bridge.

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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 Third Bridge.

✨Apply Directly through Our Website

When you find a suitable opening like Data Scientist β€” PoC ML & AI Tool Prototyping at Third Bridge, 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 Data Scientist β€” PoC ML & AI Tool Prototyping in London

Data Science
Machine Learning (ML)
Python
Prototyping
Data Pipelines
AI Tools Development
Supervised 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 Third Bridge, 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 Third Bridge. 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 Third Bridge

✨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 Third Bridge!

✨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.