Data Scientist

Overview 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 world’s 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 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 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 every day 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 e‑mail. 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. 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 Benefits 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 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 positions are eligible for some of these benefits – ask your recruiter for more details. Equal Opportunity and Discrimination Policy 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 ‑technology.com 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". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (e.g. 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. Seniority Level Entry level Employment type Full‑time Job Function Engineering and Information Technology Industries Software Development #J-18808-Ljbffr