You will build and embed intelligence into the products that significantly reduce fraud and improve FinCrime efforts. You will work closely with the FinCrime team to solve business challenges, design data products, and leverage machine learning to detect and mitigate fraud, driving meaningful impact for the business.
We’re looking for a Data Analyst to work cross-functionally across Growth, Product, and Marketing. This is a high-impact role where you’ll transform data into insight, uncover new opportunities, and build the foundations for smarter decision-making and experimentation. Your work will directly influence strategy, optimise performance, and accelerate how we scale.
Join a collaborative, innovative global team as a Data Analytics Engineer. Own and drive analytics projects, from stakeholder collaboration to technical implementation and actionable insights. Write efficient code using SQL and Python, develop data pipelines, and create impactful visualizations. Collaborate with various teams to deliver data-driven recommendations and stay ahead of industry trends.
Seeking a confident Senior/Principal Statistical Programmer Consultant capable of working independently and establishing a high-trust environment with the client’s counterparts. Responsibilities include participating in CRF design, producing data listings, integrating data across studies, and validating programs. The role involves collaborating with Biometrics functions and executing ad-hoc requests.
The Project Data Managers (PDM) within the ERGOMED Data Management (DM) department has full responsibility for the successful planning, execution, monitoring, control, and closure of multiple projects. The Project Data Manager represents a position under the direction of the Manager, Data Management. Independently lead and delegate tasks to ensure timely completion of project activities to project timelines, quality, and budget.
Shape the future of how Wikimedia’s vast data ecosystem serves both internal teams and the global community, helping drive the Data Platform Engineering team’s effort to unify data systems across the Wikimedia Foundation to deliver scalable solutions that support internal and external platform users and the open knowledge movement.
This position plays a lead role in building and maintaining the Snowflake data warehouse environment, designing scalable ETL pipelines, and ensuring secure, efficient access to institutional data. The Data Engineer will collaborate closely with software engineers, institutional research, and the Office of Innovation and Enhancement to deliver reliable data solutions that support analytics, reporting, and strategic decision-making across the University.
As a Senior Product Data Scientist at Monzo, you will help build the bank of the future. Applying your expertise in quantitative analysis and data mining, you'll understand user interactions with products and inform product strategy. You'll guide product teams, run A/B experiments, and collaborate with finance to understand user lifetime value and feature impact.
Create innovative and thought-provoking technical analysis and best practice implementation content for Gartner clients, delivering high-impact content and engaging with clients on insights and best practices for evolving data and analytics environments to prepare for AI/GenAI technologies. Demonstrate thought leadership, provide actionable advice, and build credibility as an industry expert. Actively participate in innovation, ideation, and research discussions, while mentoring junior team members.
Develop and validate time series forecasting models for predicting demand, performance, or other business metrics. Build and evaluate traditional machine learning models for prediction and segmentation tasks. Clean, preprocess, and integrate data from diverse sources. Collaborate with stakeholders and translate business needs into analytical solutions. Document and present results clearly.