Data Science Fellowship for Researchers in London
Data Science Fellowship for Researchers in London

Data Science Fellowship for Researchers in London

London Full-Time 30000 - 40000 £ / year (est.) No home office possible
Faculty

At a Glance

  • Tasks: Engage in intensive training and hands-on projects in data science.
  • Company: Leading AI consultancy with a focus on innovation and support.
  • Benefits: Competitive training compensation and career support throughout the fellowship.
  • Other info: Ideal for STEM graduates looking to transition into data science roles.
  • Why this job: Kickstart your data science career with expert guidance and real-world experience.
  • Qualifications: PhD or Master’s in a relevant field and programming skills, especially in Python.

The predicted salary is between 30000 - 40000 £ per year.

A leading AI consultancy is seeking applicants for their Fellowship Programme in Data Science starting January 2026. This programme helps STEM graduates transition into data science roles through intensive training, hands-on projects, and career support.

Applicants must have the right to work in the UK and possess a PhD or Master’s in a relevant field with programming experience, particularly in Python. Competitive training compensation is offered during the fellowship.

Data Science Fellowship for Researchers in London employer: Faculty

Join a pioneering AI consultancy in London that values innovation and professional growth. Our Fellowship Programme offers an exceptional opportunity for STEM graduates to gain hands-on experience in data science, supported by competitive training compensation and a collaborative work culture that fosters continuous learning and development. With a focus on mentorship and career advancement, we are committed to helping you thrive in your new role.
Faculty

Contact Detail:

Faculty Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Science Fellowship for Researchers in London

✨Tip Number 1

Network like a pro! Reach out to current or past fellows and industry professionals on LinkedIn. A friendly chat can give us insights into the programme and might even lead to a referral!

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your programming projects, especially in Python. This will help us stand out during interviews and demonstrate our hands-on experience.

✨Tip Number 3

Practice makes perfect! Get comfortable with common data science interview questions and coding challenges. We can use platforms like LeetCode or HackerRank to sharpen our skills before the big day.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our application status and any updates directly from there.

We think you need these skills to ace Data Science Fellowship for Researchers in London

Data Science
Python Programming
STEM Background
Analytical Skills
Hands-on Project Experience
Career Support
Transitioning to Data Science Roles
Training and Development

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant experience and skills, especially in programming and data science. We want to see how your background fits with the fellowship, so don’t be shy about showcasing your projects!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how this fellowship aligns with your career goals. We love seeing enthusiasm and a clear vision for your future.

Showcase Your Programming Skills: Since programming, particularly in Python, is key for this role, make sure to mention any relevant projects or experiences. We’re looking for candidates who can hit the ground running, so highlight your coding prowess!

Apply Through Our Website: To ensure your application gets the attention it deserves, please apply through our website. It’s the best way for us to keep track of your application and get back to you quickly!

How to prepare for a job interview at Faculty

✨Know Your Stuff

Make sure you brush up on your programming skills, especially in Python. Be ready to discuss your previous projects and how they relate to data science. This will show that you’re not just a theoretical candidate but someone who can apply their knowledge practically.

✨Showcase Your Research

Since the fellowship is aimed at researchers, be prepared to talk about your PhD or Master’s work. Highlight any relevant findings or methodologies that could translate into data science applications. This will demonstrate your ability to think critically and solve complex problems.

✨Ask Insightful Questions

Interviews are a two-way street! Prepare some thoughtful questions about the fellowship programme, the company culture, or the types of projects you might work on. This shows your genuine interest and helps you assess if it’s the right fit for you.

✨Practice Makes Perfect

Conduct mock interviews with friends or mentors to get comfortable with common interview questions. Focus on articulating your thoughts clearly and confidently. The more you practice, the more natural it will feel when it’s time for the real thing!

Data Science Fellowship for Researchers in London
Faculty
Location: London

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