Remote Data Jobs

You will manage a team of data engineers, define the team’s mission and strategy, lead technical projects, and act as a partner to technology and business stakeholders. Responsibilities include data pipeline design, database modeling, and enhancing data reliability and scalability. You will also manage technical debt while ensuring scalability and maintainability.

Lead a team of data scientists to build and integrate advanced machine learning models, including NLP and LLM-based models, that streamline clinical trial execution activities. Play a crucial role in designing data-driven solutions to improve trial design, patient recruitment, and overall trial efficiency. Contribute directly to speeding up the clinical trial process and bringing life-saving treatments to patients faster.

The Contract Programmer is responsible for managing, planning and tracking the Statistical Programming activities and managing the Statistical Programming staff and resource to ensure corporate activities and goals are met. The Contract Programmer will build and enforce the appropriate standards in the department. Designs, develops, evaluates and modifies computer programs to analyze and evaluate clinical data.

Design and lead the next phase of our cloud data strategy, defining and implementing best practices for scaling data workloads across Azure and Snowflake, ensuring performance, security, and cost efficiency, shaping a robust, compliant, and future-proof data platform that empowers data-driven insights.

We’re looking for a Senior Data Engineer (Snowflake & Azure) to join a leading organisation in wealth management. In this role, you’ll design, build, and optimise data pipelines and schemas in Snowflake, ensuring a seamless migration from SQL and full integration with Azure infrastructure. You’ll play a pivotal role in shaping the company’s data ecosystem — enabling faster insights, scalable analytics, and better decision-making.

As an AI intern, you’ll collaborate with the business and EQT’s AI team to design, prototype, and pilot solutions that leverage AI to augment real-world workflows. The AI Intern responsibilities include Partnering with business teams to identify and define AI use cases that improve efficiency or enhance decision-making. Prototyping, testing, and deploying solutions with low-code AI frameworks.

The company is seeking a detail-oriented Data Labeler / Data Curator to support its machine learning efforts by labeling data. This role involves reviewing scanned text and images for accuracy, labeling and curating data according to guidelines, and ensuring high-quality annotations across datasets. The ideal candidate will have a strong work ethic, focus, and consistency.

Be the technical cornerstone of our data engineering team, delivering a high-profile programme of work for a major Public Sector client. This is a hands-on, deeply technical role where you’ll lead from the front — setting the technical direction, shaping architectural decisions, and building modern data solutions.

You will triage, analyze and classify large volume of raw data to identify the issues and behavioral patterns. You will work with a maps, search and navigation data to detect any issues that could influence the quality of results. You will build communication with stakeholders for refining requirements and acceptance criteria for the set tasks. You will build simple workflows for solving exact tasks, provide investigation and final analysis, flag found insights, report bugs and write summary documentation.

The Senior Data Analyst will help shape and scale data-driven decision-making across both Across and UMA. This role blends strong analytical and technical skills with an eagerness to dive into the details to uncover trends, opportunities, and insights that guide product and business strategy.