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Job
· Junior
Graduate Data Scientist
Data Scientist
• Junior
• On-site
• Full-time
•
United Kingdom - London, United Kingdom
A first full-time Data Scientist opportunity for recent graduates, working from the London office 2-3 times a week on fraud detection, anti-money laundering, and claims automation products.
Responsibilities
- ▹Actively participate in the development of the fraud detection, anti-money laundering, and claim automation product suite
- ▹Work with various data types such as structured data, free text, documents, and images
- ▹Implement data engineering, usually from client extracts to insertion of data into data stores (SQL, ElasticSearch)
- ▹Develop, test, tune models and put them into production for tasks such as fraud detection and automation in complex environments
- ▹Automate key business tasks by implementing them in the production process framework in C#
- ▹Conduct meetings with clients and interact with external stakeholders, for feedback, business cases, and roadmap definition
Requirements
- ▹Code-savvy: a degree in computer science and/or experience developing apps with real users, writing maintainable, production-quality code
- ▹AI-savvy: a degree in machine learning and/or statistics, clear understanding of statistics and machine learning problems
- ▹Client facing, comfortable communicating with clients on a regular basis
- ▹Business smart, interested in learning and mastering the insurance business aspects of the products
- ▹Business fluent in English
Nice to have
- ▹Additional languages
Soft skills
Client-oriented mindsetOpenness to learning the business domain
What we offer
- ▹Flexible remote and hybrid working options
- ▹Competitive salary with a variable component tied to personal and company performance
- ▹Multiple learning and development opportunities, including Focus Fridays
- ▹Generous PTO and paid holidays
- ▹Mental health benefits
- ▹2 MAD Days per year (paid volunteering)
About the company
Shift delivers AI agents that transform insurers' most critical work, with a team spanning more than 50 countries, through a SaaS platform. This is a permanent role based out of the London office, 2-3 days a week.
Languages: Angol: Üzleti szintű
Education: Informatikai és/vagy gépi tanulási/statisztikai diploma
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