Data Scientist
1 semana atrás
The future of insurance starts with AI-driven innovation. At Shift Technology, our AI-powered products have benefited over 300 million policyholders globally by reducing underwriting risk, identifying more fraud, and automating critical tasks throughout the claims process. Our team harnesses the power of AI to enable 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.
The Data Science team at Shift Technology 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 work on various data types such as structured data, free text, documents, and images.
Key Responsibilities:
- As a member of the data science team, you will work alongside our technical experts and play a key role in rolling out our different solutions to clients.
- Set up and deploy in production the data processing pipelines of our clients, including data reception in batches or in real-time, data cleaning, information extraction, calibration of fraud detection models, etc.
- Conduct R&D for product development and innovation through machine learning, image analysis, NLP, trend analysis, and chatbots.
- Work closely with our clients to understand their needs and feedback to improve our solutions.
- Work closely with the sales team for prospect demos.
Requirements:
- You have an advanced degree in Engineering or Computer Science.
- You are familiar with object-oriented programming (C++, Java, or C#).
- You can write quality production code.
- You combine strong analysis with synthesis abilities and are not afraid to deal with the details.
- You are comfortable working with clients.
- You speak fluent English. Fluency in other languages is a big plus.
Recruitment Process:
- HR screening call.
- CodingGame.
- Technical interview with a Data Scientist.
- Last round interview with the hiring manager.
Benefits:
- 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).
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