Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.

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.

Learn more at www.shift-technology.com

About Shift Technology

Shift Technology is a global leader in insurance-grade AI, dedicated to transforming the industry’s most critical workflows. We build and deploy advanced AI solutions that empower insurance teams to work smarter, detect fraud and risk, assess liability, and automate complex claim processes with unmatched speed and accuracy.

Trusted by over 120 customers across 30 countries, we combine deep industry expertise with cutting-edge agentic AI to help human experts make faster, more confident decisions and deliver exceptional service to millions of policyholders worldwide. 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.

About the Team

This role is part of the Data Science team, which is the largest department in our organization, consisting of close to 200 Data Scientists throughout the world.

Our Data Scientists work in a full-lifecycle role across a broad range of subjects, acquiring extensive technical and professional experience in data science, data engineering, software engineering, business understanding, and client engagement.

Team Impact & Focus

The Data Science team actively participates in the definition and development of our suite of products focused on fraud detection, anti-money laundering, and claim automation.
We possess deep technical and professional experience across coding, data science, data engineering, and client interactions.
We work with a highly diverse set of data types, including structured data, free text, documents, and images.
Our company is small enough that each person’s achievements have an impact on our overall performance, yet big enough to be a world leader and innovator in our domain.
You will work alongside technical experts, playing a key role in deploying our enterprise-level solutions to our clients.
Local Context: You will be joining the Brazilian Data Science team, which works mostly for US Property & Casualty (P&C) customers. Our main focus is deploying solutions to new clients, maintaining client production, and contributing to the development of our Fraud Detection Solution.

Role Purpose & Responsibilities

Your primary purpose is to deploy Shift Technology’s solutions to new clients and maintain the solution for existing clients, which includes managing data pipelines, executing ETL processes, and developing, testing, tuning, and deploying fraud detection models.

You will be in charge of a designated pod of clients and execute the following duties:

Client Implementation: Implement Claim Fraud Detection (CFD) for new clients, focusing on ETL setup, detection implementation, and workflow automation.
Feature Deployment: Roll out new platform features to existing clients.
Optimization: Drive continuous improvements across existing client environments and pipelines.
Stakeholder Engagement: Interact with internal and external stakeholders to define client roadmaps, collect user feedback, present business cases, and report regularly on solution performance.
Leadership & Mentorship: Actively mentor more junior data scientists on the team.

Requirements & Skills

We are looking for a professional with 3+ years of experience in a similar role (deployment engineering, data science, data engineering, or software engineering).

Software Engineering: A strong background in an OOP language (such as C#, C/C++, or Java) and SQL. We thrive on people who can write maintainable, production-quality code that runs every day without breaking.
AI Competency: AI-savvy with a clear understanding of statistics, machine learning, and data solutions. Must be able to communicate these concepts internally and explain how the product works to clients.
Client Interaction: Client-facing comfort. You need to be open to communicating directly with our clients on a regular basis.
Business Acumen: Business smart. We do not expect prior knowledge of the insurance sector, but you must be eager to learn and master the business aspects of our products.
Collaboration: A dedicated team player who works effectively with a diverse group of people and collaborates well across multiple teams.
Autonomy & Proactivity: Demonstrate a high level of autonomy, effectively anticipating risks, making informed decisions, and ensuring clear, consistent reporting and visibility for leadership and stakeholders.
Language: Fluency in English alongside good overall communication skills is a strict requirement.

Job Overview

Employment Type: This is a permanent, full-time CLT position.
Location: This is a Hybrid role based in São Paulo, Brazil.

Benefits & Perks

Health Insurance: AMIL ONE S6500 Black
Dental Insurance: AMIL DENTAL 205
Meal Voucher: R$1,026

Extended Parental Leave: 30 daysPrivate Pension with company matchingMAD Days: 2 MAD Days per year (Make A Difference Days for paid volunteering).

Recruitment Process

HR Screening Call
CodinGame Assessment
Technical Interview with a Data Scientist
Last Round Interview with the Hiring Manager

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
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
Mental health benefits
2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country, based on your eligibility - ask your recruiter for more information. Intern and Apprentice positions may receive some of these benefits - ask your recruiter for more details.

AI tools are used to help review applications for this role. Read our AI in Recruitment Notice for what the AI considers, how to request a human review, and our most recent bias audit.

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 accommodation@shift-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 (ex. 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.

Senior Data Scientist / Deployment Engineer

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