Graduate Data Scientist

Data Science Festival
London
2 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Scientist

Business Data Analyst

Data Analyst Training Course (Excel, SQL & Power BI)

Data Analyst Training Course (Excel, SQL & Power BI)

Join the Pipeline: Future Tech Talent Wanted

Data Idols are partnering with the Data Science Festival to bring you a top-tier initiative for those wanting to reboot their tech career. From new grads to tech returners to career switchers, if data lights your fire, this is for you.

The Careers Day Festival brings together 30 leading hiring companies to top talent (that’s you). It’s the perfect place to bag your next job, find an exciting new role, or make invaluable connections for your future career.

What to Expect

  • Real-talk panels from experts within the tech world
  • Data-driven workshops that explore the world of AI in tech careers
  • Networking, but it means something
  • Gain insights you won’t find in any job descriptions
  • A mentorship program from role models who have been in your shoes

About the DSF Career Day Mentorship Programme:

As an attendee, you’ll have the opportunity to sign up for the Mentorship Programme, an 8-week series designed to help you grow your skills and level up with the support of an experienced mentor.

You’ll be matched with a small group led by a data professional who will guide you through 6 structured sessions that will cover everything from goal-setting and CV writing to career confidence and acing your interviews.

️ Date: Wednesday 17th September

Location: CodeNode, 10 South Pl, Finsbury, London EC2M 7EB

Break into tech. Refresh your career. Build your future today by applying now.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.