At a Glance
- Tasks: Join us as a Data Scientist, tackling fraud detection and automation challenges.
- Company: Shift, a dynamic tech company with a focus on innovation.
- Benefits: Permanent role with opportunities for growth and learning in a diverse environment.
- Other info: Collaborate with a diverse team and engage directly with clients.
- Why this job: Kickstart your career in data science and make a real impact on exciting projects.
- Qualifications: Recent graduate with coding skills and a passion for AI and business.
The predicted salary is between 28000 - 38000 £ per year.
This opportunity is perfect for you if you're seeking a permanent role; Shift is the ideal place to kickstart your career journey!
We are looking for people to start in January/February 2026. You are a recent graduate, looking for your first full-time Data Science opportunity. We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:
- Code-savvy: Either by having a degree in computer science and/or having developed some apps with actual users. Writing scripts for models and notebooks is not enough at Shift; we thrive on people who can write maintainable, production-quality code that will run every day without breaking.
- AI-savvy: Either by having a degree in machine learning and/or statistics. Having a clear understanding of statistics and machine learning problems, tasks, and common resolutions is important to communicate internally and explain to the client how the product is working.
- Client facing: You will need to be comfortable and open to communicating with our clients on a regular basis.
- Business smart: We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products.
- Business fluent in English: We are an international company with offices in many countries and 40+ nationalities; the Shift working language is English. Additional languages are a plus.
What the job involves:
As a Data Scientist, you will work on a broad range of subjects actively contributing to the design and evolution of our suite of products focused on fraud detection, anti-money laundering, and claims automation. We are dedicated to providing innovative solutions, and you'll be part of a team with extensive technical and professional expertise in data science, data engineering, coding, business understanding, and client interactions.
Additionally, we tackle a diverse array of data types, including structured data, unstructured text, documents, and images. You will actively participate in the development of our suite of products: fraud detection, anti-money laundering, and claim automation; and work on various data types such as structured data, free text, documents, and images.
- Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch).
- Developing, testing, tuning models, and putting them into production for tasks such as fraud detection and automation detection in complex environments.
- Automate key business tasks by implementing them in our production process framework in C#.
- Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases, or defining the roadmap of evolutions.
Graduate Data Scientist (January/February 2026) employer: Shift Technology
At Shift, we pride ourselves on being an exceptional employer that fosters a vibrant work culture and prioritises employee growth. As a Graduate Data Scientist, you'll be immersed in a collaborative environment where innovation thrives, and you'll have the opportunity to work on cutting-edge technology solutions while engaging directly with clients. Our commitment to diversity and inclusion, coupled with our international presence, ensures that you will not only kickstart your career but also develop valuable skills in a supportive and dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist (January/February 2026)
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or join relevant online communities. Engaging with people in the industry can lead to valuable connections and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving coding and data science. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. We recommend doing mock interviews with friends or using online platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Shift.
We think you need these skills to ace Graduate Data Scientist (January/February 2026)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your coding and AI knowledge in your application. We want to see how you've developed production-quality code and tackled machine learning problems, so don’t hold back on sharing your projects!
Tailor Your Application:Customise your CV and cover letter for the Data Scientist role. Mention specific experiences that relate to fraud detection or automation, and show us your enthusiasm for learning about the insurance sector.
Be Client-Focused:Since this role involves client interaction, demonstrate your communication skills in your application. Share examples of how you've effectively communicated complex ideas to non-technical audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Shift!
How to prepare for a job interview at Shift Technology
✨Show Off Your Coding Skills
Make sure to highlight your coding experience during the interview. Bring examples of apps you've developed or scripts you've written that demonstrate your ability to produce maintainable, production-quality code. Be ready to discuss how you approach coding challenges and ensure your solutions are robust.
✨Brush Up on AI and Statistics
Since the role requires a solid understanding of machine learning and statistics, take some time to review key concepts and common problems in these areas. Be prepared to explain how you've applied this knowledge in practical scenarios, as it will show your potential to communicate effectively with both clients and your team.
✨Practice Client Communication
As this position involves regular client interactions, practice articulating complex data science concepts in simple terms. Role-play with a friend or mentor to simulate client meetings, focusing on how you would present your ideas and gather feedback. This will help you feel more confident during the actual interview.
✨Demonstrate Business Acumen
Even if you’re not familiar with the insurance sector, showing a genuine interest in learning about the business side of things can set you apart. Research the company’s products and think about how data science can impact their business. Prepare questions that reflect your curiosity about their operations and how you can contribute.
