Data scientist / Data engineer
Did you know that about 10% of all insurance payouts are flowing directly into the pockets of fraudsters? The future of insurance starts with Decisions Made Better.
Shift Technology harnesses the power of AI to enable the world’s leading insurance organizations to make better decisions. Our products automate and optimize decisions from underwriting to claims, resulting in increased operational efficiency, reduced costs, and superior customer experiences for millions of people around the globe.
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 40 different countries and cultures and together we are creating the future of insurance.
The Data Science team works on a broad range of subjects. We actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation. We have a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions. Additionally, we also work on various data types such as structured data, free text, documents and images.
What You'll Do...
- Actively participate in the development of our suite of products, including fraud detection, anti-money laundering, and claim automation.
- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to understand data requirements and contribute to the design and implementation of data-driven solutions.
- Work with various data types, transforming and processing them from client extracts to insertion into our data stores (SQL, ElasticSearch).
- Design and implement efficient data pipelines and ETL processes to ingest, cleanse, and integrate data from multiple sources.
- Develop, test, and fine-tune models, enabling seamless integration into complex environments for tasks such as fraud detection and automation.
- Implement data quality and data governance measures to ensure the accuracy, consistency, and reliability of our data assets.
- Automate key business tasks by implementing them in our production process framework using C#.
- Monitor and optimize data infrastructure and data workflows to ensure high performance and scalability.
- Conduct meetings with clients and interact with external stakeholders, obtaining direct user feedback, presenting business cases, and defining the roadmap for product evolutions.
- Stay up-to-date with the latest advancements in data engineering technologies and best practices, and apply them to enhance our data engineering capabilities.
- Contribute to a positive and innovative team culture by sharing knowledge, providing mentorship, and actively participating in code reviews and technical discussions.
What You Bring...
- Bachelor's degree in Computer Science, Data Science, or a related field. Equivalent practical experience will also be considered.
- Proven experience as a Data Engineer or similar role, with a track record of successfully delivering data-driven solutions.
- Proficiency in programming languages such as Python, Java, or C#, and experience in writing maintainable, production-quality code.
- Solid understanding of data engineering concepts and experience with data manipulation, data integration, and ETL processes.
- Familiarity with SQL and NoSQL databases, as well as data warehousing techniques.
- Experience with machine learning frameworks and libraries is a plus.
- Strong analytical and problem-solving skills, with the ability to work with complex and unstructured data sets.
- Client-focused mindset with excellent communication skills to interact effectively with clients and stakeholders.
- Demonstrated ability to thrive in a fast-paced, dynamic start-up environment, adapting to changing requirements and tight deadlines.
- Fluency in both English and French, as Shift is an international company with a diverse workforce.
- Talent Acquisition interview
- 2 technical interviews
- Hiring manager interview
To support our 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.
At Shift we strive to be a diverse and inclusive workforce. We hire and trust people 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 firstname.lastname@example.org and we will work with you to meet your accessibility needs.
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.