The future of insurance starts with AI. To date, Shift Technology's AI-powered products have benefitted more than 300 million policyholders globally by reducing underwriting risk, identifying more fraud, and automating critical tasks throughout the claims process. Shift harnesses the power of AI to enable the world’s leading insurance organizations to make better decisions. Our products help insurers improve operational efficiency, reduce costs, and deliver superior customer experiences to their policyholders. Our culture is built on innovation, trust, and a drive to transform the insurance industry by imagining and innovating solutions that impact insurers and their customers - like you! 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 person’s 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 you'll 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:

Looking to move into the next stage of your data science career, bringing 3-4 years relevant experience.
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 don’t expect candidates to know the insurance sector, but we want people who can learn and master the business aspects of our products
English speakers. 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 we’d like to highlight:

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)

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 company, without 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 [email protected] 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 shift-technology.com

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.

Apply for this job

Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!

Get hired quicker

Be the first to apply. Receive an email whenever similar jobs are posted.

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Data Scientist Q&A's

Report this job