Graduate Data Scientist
- You will actively participate in the development of our suite of products: fraud detection, anti-money laundering, and claim automation; and working 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.
- 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 everyday 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 to 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 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)
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