Shift Technology
Job title:
Data Solutions Engineer
Company
Shift Technology
Job description
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.At Shift Technology, we’re transforming insurance with AI. We help insurers fully automate more claims, deliver a great customer experience while protecting against risk and accurately identifying suspected fraud, making internal teams more effective and improving financial performance.Since our launch in 2014 in Paris, we’ve raised over $320M with Tier 1 investors, opened offices in Boston, Tokyo, Singapore, London, Madrid, Mexico, Hong-Kong, and Sao Paulo, and currently work with more than 80 of the world’s leading insurers. If you are excited about joining a fast-growing insurtech innovator with a passion for excellence and global culture, Shift is the place for you.Shift Technology offers a unique opportunity to data solutions engineers to accelerate their careers, improve their coding skills and have a high impact for our clients:
- Implement scraping and data retrieval pipelines such as web crawling websites with online vehicle ads to detect suspicious claims, crawl social media and public sites to spot discrepancies between claims and online activity, do entity resolution on lists of disbarred lawyers to detect fraud rings, etc.
- Implement connectors with external solutions to provide in-box integration of our systems with other systems through APIs and data engineering ETLs.
The work is focused on implementing and maintaining data connectors, external data integration and helping building key showcases..What you’ll do…
- Data Engineering for the pipelines of External Data, from the automation of their retrieval in external sources to their insertion into our data stores (SQL, ElasticSearch).
- Designing new data pipelines, integrating new technologies to automate business tasks or deliver new functionalities.
- Designing and implementing new connectors with external systems such as the integration of our solutions in market-leading solutions such as GuideWire.
- Optimizing the robustness and performance of production pipelines as well as supervised the deployment of complex features to support client-facing Data Scientists. Learn about robustness patterns, code optimization techniques and large-scale deployment organization.
What you bring…
- Good programming skills, such as a degree in computer science and/or some coding work experience and you feel comfortable spending time writing and understanding code.
- Ability to produce optimized and stable code which will smoothly run in a production context; you’re familiar with algorithm complexity assessment; you can write unit tests and integration tests; you think about potential problems and edge case.
- Knowledge and experience using object-oriented concepts; you can design class diagrams and use common object-oriented design patterns naturally. C# knowledge is a plus.
- Good practical spirit, eager to understand how new systems work, and able to troubleshoot and improve them; when hitting an unexpected problem, you are ready to dig in to solve the problem yourself.
- Teamwork capabilities; you are comfortable working with others and you have good communication skills.
- Business fluent English speakers: we are an international company with offices in many countries and 50+ nationalities, the Shift working language is English.
- Fluency in French preferred
Recruitment Process
- Talent Acquisition interview
- Technical interview(s)
- 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 inShift 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.
Expected salary
Location
Paris
Job date
Wed, 11 Dec 2024 03:40:14 GMT
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