Jobs at Shift Technology

Develop and productionize data science and engineering solutions for fraud detection, anti-money laundering, and claims automation. Responsibilities include building data pipelines into SQL and Elasticsearch, developing and tuning machine learning models, automating business processes in C#, working with structured and unstructured data, and engaging clients to gather feedback, present solutions, and define product roadmaps.

Support the CFO and Head of FP&A with financial analysis, reporting, modeling, dashboards, dataset analysis, benchmarking, and ad hoc projects. Maintain accurate executive reports, improve finance and accounting processes, and explore AI tools to enhance reporting. The role requires collaboration, strong attention to detail, data privacy, and ownership in a growing SaaS company.

Design, build and maintain scalable data models, ETL pipelines, and data access layers. Collaborate with product and data science teams to enable analytics and dashboards, participate in agile processes, code reviews, deployment, and monitoring to deliver production-quality data solutions.

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.

Develop and execute UK territory strategies, build relationships with C-level insurance stakeholders, identify and close new enterprise accounts, manage sales pipelines, submit proposals and contracts, and coordinate internal resources to win complex SaaS deals valued at $300K or more across multiyear contracts.

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.

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.

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.

Own end-to-end delivery of complex enterprise SaaS and data projects across the UK portfolio. Build and maintain plans, RAID registers, governance and stakeholder alignment. Drive risk mitigation, actions to closure, reporting, workshops and recovery. Support pre-sales scope validation and improve delivery practices through templates, automation and AI.

Work with the data science team to understand insurance data and fraud, build and optimize mathematical models and algorithms, implement production-quality code, participate in client workshops to gather feedback, and propose continuous improvements.

Build and deploy data processing pipelines (batch and real-time), clean and extract information, calibrate fraud detection models, collaborate with clients, and conduct R&D on machine learning, NLP, and image analysis to drive product innovation.

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

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.

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