Jobs at Shift Technology

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.

The internship involves deploying data processing pipelines, collaborating with clients, conducting R&D in AI and data science, and supporting sales efforts.

Support deployment and maintenance of fraud-detection solutions: assist with ETL configuration, detection implementation, feature rollout, pipeline optimization, and cross-team client engagement under senior data scientists.

Deploy and maintain Shift's fraud detection solutions for a pod of clients: manage ETL and data pipelines, develop/test/tune/deploy models, roll out platform features, optimize production environments, engage stakeholders, report performance, and mentor junior data scientists.

As a Fullstack Engineer, you will design user interfaces, build and maintain APIs, write and test code, and contribute to system improvements, collaborating with cross-functional teams.

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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The Tech Support Specialist manages support tickets, desktop computers, and security compliance, oversees user onboarding, and maintains relationships while using various tools.

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.

Join a cross-functional team to build and modernize core SaaS applications. Develop frontend interfaces and backend APIs in C# and JavaScript, write well-tested code, participate in deployments and monitoring, troubleshoot production issues, and collaborate with engineers, data scientists, and product managers.

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.