Data Scientist/Engineer

Summary

Join Shift Technology's Data Science team and play a key role in deploying AI-powered solutions for insurance clients. You will design and implement data processing pipelines, conduct R&D for product innovation using machine learning and NLP, and collaborate closely with clients and the sales team. This position requires an advanced degree in Engineering or Computer Science, proficiency in object-oriented programming, and the ability to write high-quality production code. Strong analytical and synthesis skills are essential, along with comfort working with clients and fluency in English. Shift offers a competitive benefits package including health insurance, flexible work options, generous PTO, and opportunities for professional development.

Requirements

• You have an advanced degree in Engineering or Computer Science
• You are familiar with an object-oriented programming (C++, Java or C#)
• You can write quality production code
• You combine strong analysis with synthesis abilities and are not afraid to deal with the details
• You are comfortable working with clients
• You speak fluent English

Responsibilities

• Set-up and deploy in production the data processing pipelines of our clients, including data reception in batches or in real-time, data cleaning, information extraction, calibration of fraud detection models, etc
• R&D for product development and innovation (through machine learning, image analysis, NLP , trend analysis, chatbots…)
• Work closely with our clients to understand their needs, their feedback to improve our solutions
• Work closely with the sales team for prospects demo

Preferred Qualifications

Fluency in other languages is a big plus

Benefits

• Health Insurance
• Dental Insurance
• Meal Voucher
• 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)