Remote Data Jobs

Teramind protects 10,000+ organizations from insider threats by analyzing billions of behavioral events daily. The company is scaling to 100,000 customers, and the data platform needs to scale with them. This role involves making massive amounts of data queryable in under 2 seconds, using Python.

The Data & Analytics Manager will build and lead a data organization that transforms raw information into strategic insights and measurable business growth. This role exists to define and execute the company’s data strategy , ensuring every department—from marketing to operations—has the visibility, infrastructure, and analytics needed to make smarter decisions. Success means delivering actionable insights, scalable data systems, and a culture of data-driven excellence across the organization

As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you'll analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to ensure their expectations and business decision-making tool needs are met. You will create scalable and reliable data solutions through data analytics solution development.

As a Data Scientist, you will actively contribute to the design and evolution of our suite of products focused on fraud detection, anti-money laundering, and claims automation. You will also work on various data types, including structured data, unstructured text, documents, and images. This opportunity is perfect for recent graduates looking for their first Data Science role, starting in January/February 2026.

Apply your geospatial knowledge to cutting-edge AI research by helping to develop a geospatial reasoning agent designed to enhance situation understanding and predictive analysis for real-world applications, starting with Crisis Response. You’ll assist in evaluating AI model outputs, testing reasoning accuracy, and supporting data-driven assessments that improve system reliability by reviewing geospatial datasets, analyzing AI-generated outputs, annotating findings, and collaborating with our team to document and improve reasoning frameworks.

Lead the identification and analysis of business requirements within the BI context to develop strategic insights. Formulate data models that effectively transform raw data into actionable insights. Utilize advanced features of Power BI to create dynamic dashboards and interactive visual reports. Define and implement key performance indicators (KPIs) with specific objectives, ensuring their regular tracking and analysis. Translate business needs into comprehensive technical specifications and establish realistic project timelines.

Looking for a Mid Level Data Visualisation Engineer with strong knowledge in developing and maintaining data ingestion pipelines and integrating data from various sources, such as APIs, relational databases, files. Design, build, and optimize semantic data models in Power BI to support self-service analytics and enterprise reporting. Develop, maintain, and optimize Power BI dashboards, reports, and datasets, ensuring accuracy, usability, and performance.

Shape the future of how businesses and consumers interact, contributing to innovative solutions that provide a unified view of guest transactions across online and offline channels. Work on projects that have the potential to make a lasting impact, designing, implementing, and optimizing robust data workflows that enable both customers and internal teams to make smarter, faster decisions.

Train and evaluate cutting-edge AI models as a Personal Finance Advisor, reviewing AI-generated responses to Personal Finance scenarios, rating them for accuracy, appropriateness, safety, and reasoning quality. You will compare multiple model answers and select/justify the best response and write improved exemplars, rationales, or structured feedback to help models learn where they fall short.

As a Senior Data Engineer, lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborate closely with business and analytics teams, ensuring high-quality deliverables that meet the strategic needs of our organization. Expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data.