Junior Data Scientist, Digital Twin & Building Risk

Junior Data Scientist, Digital Twin & Building Risk

Internship 25000 - 32000 £ / year (est.) No working from home possible
Tussell Limited

At a Glance

  • Tasks: Build and analyse a digital twin of UK flats to manage building risks.
  • Company: Tussell Limited, an innovative company in Greater London.
  • Benefits: Opportunity for full-time role after three months and hands-on experience.
  • Other info: Join a dynamic team and shape the future of building safety.
  • Why this job: Make a real impact in an early-stage company while developing your data science skills.
  • Qualifications: Recent graduate with a passion for data science and risk management.

The predicted salary is between 25000 - 32000 £ per year.

Tussell Limited, based in Greater London, is seeking a Graduate Data Scientist to build and exploit a digital twin of every block of flats in the UK. In this role, you'll work with various datasets to identify and manage risks associated with buildings and help shape pricing strategies for clients.

This position starts as a three-month role, with the potential for a full-time offer, making it an exceptional opportunity for individuals looking to impact an early-stage company.

Junior Data Scientist, Digital Twin & Building Risk employer: Tussell Limited

Tussell Limited is an innovative employer that offers a dynamic work environment in Greater London, where you can make a tangible impact on the future of building management through cutting-edge data science. With a strong focus on employee growth and development, we provide opportunities for meaningful contributions and career advancement within an early-stage company that values creativity and collaboration. Join us to be part of a forward-thinking team dedicated to shaping the digital landscape of the UK’s housing sector.

Tussell Limited

Contact Details:

Tussell Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Scientist, Digital Twin & Building Risk

Join Data-Science Meetups

Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.

Utilise University Career Services

Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.

Show Off Your Stuff on GitHub

If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.

Apply Directly on Our Website

Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.

We think you need these skills to ace Junior Data Scientist, Digital Twin & Building Risk

Problem-Solving Skills
Python
Communication Skills
SQL
Automation
Attention to Detail
Data Engineering

Some tips for your application 🫡

Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!

Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Tussell Limited will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!

Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!

Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!

How to prepare for a job interview at Tussell Limited

Brush Up on Your Coding Skills

As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.

Show Off Your Projects

Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Tussell Limited.

Know Your Stats and ML Basics

Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.

Be Eager to Learn and Adapt

Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Tussell Limited that you’re not just looking for experience, but that you're keen to contribute and grow within the team.