Jobs at Shift Technology

Work with the data science team to understand insurance data and fraud mechanisms; create, implement, test and optimize mathematical models and algorithms for fraud detection, AML and claim automation; run client workshops, integrate feedback, and propose solution improvements.

Build and deploy production ML solutions for fraud detection, AML and claim automation. Implement data pipelines from client extracts to the data warehouse, develop/tune/test models, automate business tasks in C#, report KPIs, and engage with clients and stakeholders.

Own marketing campaign execution, infrastructure, and analytics: build data workflows and automations between HubSpot and Salesforce, optimize digital campaigns, manage marketing budget and media spend, implement reporting dashboards, and partner with sales and field marketing to improve pipeline and ROI.

As part of the data science team, you will analyze insurance data, create mathematical models, and optimize algorithms based on client feedback.

Design and implement scalable features, build data pipelines, collaborate with cross-functional teams, and enhance data infrastructure for improved decision-making.

This role involves selling enterprise-grade SaaS solutions to the Health Insurance sector, managing C-level relationships, strategizing territory plans, and identifying new opportunities within the Healthcare sector.

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Lead German go-to-market: personally drive enterprise B2B sales to insurance carriers, own new logo acquisition and account expansion, engage C-level stakeholders, manage specialists, and ensure predictable revenue.

The internship involves setting up data processing pipelines, collaborating with clients, conducting R&D, supporting sales, and understanding product lifecycles in AI for insurance.

Partner with Engineering leaders in France to manage employee relations, apply French labor law, streamline HR processes, coach managers on performance and conflict resolution, spot organizational risks, and contribute to cross-functional people initiatives to improve engagement and sustainable growth.

As a Graduate Data Scientist, you'll work on fraud detection, anti-money laundering, and claims automation, implementing data engineering and developing machine learning models.

The Key Account Executive is responsible for building and maintaining senior-level relationships with national insurance carriers, guiding complex sales cycles, and delivering value through consultative approaches.

As a Data Scientist, you'll work on fraud detection and automation, developing models, coding, and interacting with clients while handling diverse data types.

Lead QA efforts for Shift's core platform: define test strategies, design and run integration and automated tests (API, backend, performance), coordinate bug fixes with developers and data scientists, set up automation frameworks, run comprehensive test campaigns, and promote QA best practices across teams.

Develop and maintain fullstack features: design UIs, build robust APIs, write and test clean code, participate in deployments and monitoring, and contribute to architectural improvements and modernization efforts.

Develop and maintain fullstack features: design UIs, build robust APIs, write and test clean code, participate in deployments and monitoring, and contribute to architectural improvements and migrations.

As a Data Scientist, you will build data pipelines, design fraud detection algorithms, collaborate with clients, and contribute to product development.

The Sales Executive, B2B Insurance will implement territory plans, lead sales processes, and engage with stakeholders to drive business growth in the insurance sector.

Own end-to-end delivery of large, complex insurance and IT projects, drive POV/POC execution, manage stakeholders and escalations, integrate AI to improve operations, support presales (RFPs, SOWs, contracts), mentor junior PMs, and lead continuous improvement across delivery processes.

Manage onboarding, adoption, and renewals for insurance clients by leading rollouts, coordinating internal resources, advising Anti-Fraud/Claims/Underwriting teams, tracking KPIs, delivering executive business reviews, driving retention and growth, and surfacing customer feedback to product and leadership.