Data Scientist

Shift is the leading AI platform for insurance. Shift combines generative agentic and predictive AI to transform underwriting claims and fraud and risk - driving operational efficiency exceptional customer experiences and measurable business impact. Trusted by the worlds leading insurers Shift delivers AI when and where it matters most at scale and with proven results.

Our culture is built on innovation trust and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Shift Technology offers a unique opportunity to brilliant candidates to accelerate their careers in data science.

• Data scientists work on a broad range of subjects acquiring a lot of technical and professional experience in data science data engineering coding business understanding and client interactions; skills invaluable in any career.
• Our company is small enough that each persons achievements have an impact on overall performance yet big enough to be a world leader in our domain.
• We are a fast growing company the best contributors will grow to managerial or product tech lead positions much more rapidly than in bigger companies

What youll do...

The data science team is in charge of technically delivering the Shift products to clients the key role in the success of our projects with clients. It is a hands-on job expect to be doing everything you can imagine from the technical side in an AI company:

• 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 direct user feedback presenting business cases or defining the roadmap of evolutions for that client

You will actively participate in the definition and development of our suite of products on fraud detection anti-money laundering and claim automation working on various data types such as structured data free text documents and images.

What You Bring...

As a result of the range of the role we are looking for people with diverse skills and proficiencies to help make our customers successful. We are open to people not having exactly all of the required skills but in each one of those they must be willing to build expertise.

As a result you are:

• At the early stages of your data science career with 1-3 years of relevant experience looking to step into the next role.
• Code-savvy either by having a degree in computer science and/or having developed some apps with actual users or by willing to spend a lot of time practicing. 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 or be looking to work on those subjects. 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 clear and professional when talking to clients during meetings and by email. Expect to talk with a client every other day and grow your communicational and presentational skills!
• Business smart. We dont expect candidates to know the insurance sector but we want people who can learn and master the business aspects of our products
• Fluent English speaker. We are an international company with offices in many countries and 50 nationalities the Shift working language is English.

Recruitment Process

• Coding exercise
• Talent Acquisition interview
• Technical interview
• Hiring Manager interview

To support our permanent full time employees at every stage of their careers and lives we provide a competitive total rewards and benefits package. Here are the global benefits wed like to highlight:

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Multiple Learning and Development opportunities including 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. Intern and Apprentice position are eligible for some of these benefits - ask your recruiter for more details.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our companywithout regard to race color religion marital status age national or ethnic origin physical or mental disability medical condition pregnancy genetic information gender identity or expression sexual orientation or other non-merit criteria.

Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation please email and we will work with you to meet your accessibility needs.

Please be aware of scammers and only trust correspondence that comes from emails ending in . We will never do initial outreach to you via Whatsapp/Text/SMS never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.

Shift Technology 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. Any unsolicited CVs including those submitted directly to hiring managers are deemed to be the property of Shift Technology.