Applied Data Scientist / Engineer

Summary

Join Shift Technology, a leading InsurTech innovator, and become a key member of our large Data Science team. You will actively participate in developing our AI-powered products for fraud detection, anti-money laundering, and claim automation. This role involves working with diverse data types, implementing data engineering solutions, developing and deploying machine learning models, and automating business tasks using C#. You will collaborate with clients and stakeholders, providing feedback, presenting business cases, and defining product roadmaps. The ideal candidate possesses strong coding skills, a solid understanding of AI and machine learning, excellent communication abilities, and a business-oriented mindset. Shift offers a competitive benefits package including flexible remote work options, competitive salary, equity, generous PTO, and various other perks.

Requirements

• 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 in English and French
• 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
• Bilingual, must be fluent (CEFR C2 Level) in English and French

Responsibilities

• 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 in 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

Benefits

• 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)