At a Glance
- Tasks: Join us in developing AI solutions for fraud detection and claims automation.
- Company: Shift, the leading AI platform transforming the insurance industry.
- Benefits: Flexible working options, competitive salary, generous PTO, and mental health support.
- Other info: Enjoy a dynamic work culture with opportunities for personal growth and learning.
- Why this job: Kickstart your career in data science with innovative projects and a diverse team.
- Qualifications: Recent graduates with coding and AI knowledge are encouraged to apply.
The predicted salary is between 28800 - 48000 β¬ per year.
Shift is the leading AI platform for insurance, combining generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform.
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. You will be part of a team with extensive technical and professional expertise in data science, data engineering, coding, business understanding, and client interactions.
This opportunity is perfect for you if you are a recent graduate looking for your first full-time Data Science opportunity.
What youβll do:- Participate in the development of our suite of products: fraud detection, anti-money laundering, and claim automation.
- Work on various data types such as structured data, free text, documents, and images.
- Implement data engineering from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch).
- Develop, test, tune models, and put 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 for user feedback, presenting business cases, or defining the roadmap of evolutions.
- Code-savvy, with a degree in computer science and/or experience developing apps with actual users.
- AI-savvy, with a degree in machine learning and/or statistics, and a clear understanding of statistics and machine learning problems.
- Client facing, comfortable communicating with clients regularly.
- Business smart, interested in learning and mastering the business aspects of our products.
- Business fluent in English; additional languages are a plus.
- Recruitment screening
- Technical exercise
- Technical interview with Senior Data Scientist
- Final interview with Hiring Manager
- Flexible remote and hybrid working options
- Competitive Salary and a variable component tied to personal and company performance
- Company equity
- Focus Fridays, a half-day each month to focus on learning and personal growth
- Generous PTO and paid holidays
- Mental health benefits
- 2 MAD Days per year (Make A Difference Days for paid volunteering)
- Additional benefits may be offered by country - ask your recruiter for more information.
Shift is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. If you require accommodation, please email accommodation@shift-technology.com.
Please be aware of scammers and only trust correspondence from emails ending in shift-technology.com. We will never initiate contact via Whatsapp/Text/SMS or ask for banking information or personal identification numbers as part of our recruitment process.
Shift does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post.
Graduate Data Scientist in London employer: Shift Technology
At Shift, we pride ourselves on being a leading AI platform for insurance, fostering a culture of innovation and collaboration among our diverse team from over 50 countries. As a Graduate Data Scientist, you'll benefit from flexible working options, competitive salaries, and unique opportunities for personal growth through initiatives like Focus Fridays and Make A Difference Days, all while contributing to transformative solutions in the insurance industry.
StudySmarter Expert Adviceπ€«
We think this is how you could land Graduate Data Scientist in London
β¨Tip Number 1
Network like a pro! Reach out to alumni from your university or connections in the industry. A friendly chat can lead to opportunities you might not find on job boards.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science. This gives potential employers a taste of what you can do and sets you apart from the crowd.
β¨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Mock interviews with friends or mentors can help you feel more confident and ready to impress.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs 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 in London
Some tips for your application π«‘
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight any relevant projects or coursework that showcase your coding and AI knowledge, as we love seeing how you can contribute to our innovative solutions.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can help transform the insurance industry. Share specific examples of your work and how they relate to fraud detection or claims automation, as this will make you stand out!
Showcase Your Coding Skills:Since we thrive on maintainable, production-quality code, include links to any projects or apps you've developed. This gives us a chance to see your coding style and problem-solving abilities in action, which is super important for the role.
Apply Through Our Website:We encourage you to apply directly through our website. Itβs the best way to ensure your application gets to us without any hiccups. Plus, it shows your enthusiasm for joining our team at Shift!
How to prepare for a job interview at Shift Technology
β¨Know Your Data Science Fundamentals
Brush up on your statistics and machine learning concepts. Be ready to discuss how you would approach problems related to fraud detection and claims automation, as these are key areas for the role.
β¨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities. Bring examples of production-quality code you've written, and be ready to explain your thought process behind it. Shift values maintainable code that runs smoothly in real-world applications.
β¨Understand the Business Context
While you may not need to be an insurance expert, showing a genuine interest in the business side of things will set you apart. Research how AI is transforming the insurance industry and be prepared to discuss how your skills can contribute to that transformation.
β¨Practice Client Communication
Since this role involves client interactions, practice articulating complex data science concepts in simple terms. Think about how you would explain your work to someone without a technical background, as effective communication is crucial at Shift.