As an ML Engineer, you’ll be part of a small, focused team building the foundation of our ML systems. You’ll work on impactful product features, collaborate with engineers and analysts, and have the freedom to experiment and learn. You will Develop and deploy ML models to power features like product recommendations, personalization, and demand forecasting.
Be the go-to expert, partnering with customers to understand their data and reporting requirements, and effectively translating them to our engineering team. Work hand in hand with the Product Team, Data Scientists, and Software Engineers, ensuring customer feedback drives product development. Tackle critical business and infrastructure issues through ad hoc analysis, insightful requests, and data extraction.
Evolve our foundational data infrastructure to primarily support our finance department. You will own the analytics infrastructure for these products end-to-end -- from data ingestion, to reporting, to activation -- ensuring high data quality and availability for our data sets. Work with the business, engineering, and analytics teams to lay the foundation for effective reporting and analysis needed to scale up these ventures.
The Senior Director of Product Analytics will be responsible for the driving force behind that mission—partnering with product and business leaders across the company to uncover impactful insights, scale our analytics capabilities, and shape how we make decisions at every level. You’ll lead a team of ~30 Analysts and Analytics Engineers embedded across vertical business units and strategic initiatives.
An iSpot Senior Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds prototypes for innovations in iSpot’s audience measures, lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with product and engineering teams to scale our models.
As an Analytics Engineer, you will be joining JobTeaser’s Analytics team, and will report to the Lead Data person. You will build data models by collecting needs for data transformations, defining sources of truth for metrics and dimensions, implementing data models in dbt. You will also govern the data model, keeping overall consistency, defining policies and standards for data management, and ensuring data quality and reliability.
The FinCrime Assurance Analyst (Data Specialist) role at Monzo involves assessing the effectiveness of Monzo’s Financial Crime controls and ensuring Monzo meets internal high standards and regulatory expectations. This role involves creating and maintaining fundamental assurance infrastructure, such as Quality Assurance assessment forms, sampling tools, trackers, dashboards and performance metrics.
This role will turn data—from web, sales, subscriptions, customer behavior, and more—into insights that shape strategy across growth, operations, product, and beyond. The role involves data analysis and transformation, working hands-on with large, diverse datasets across e-commerce, web/behavioral tracking, subscription, marketing, and AI/ML systems. Deliver insights with confidence and clarity, bridging the gap between raw numbers and business strategy.
We are looking for a Data Analyst to join our team to be part of our new mobile game for iOS and Android platforms in a new niche for people from the Tier-1 region. You will play a key role in analyzing player behavior, game performance, and monetization strategies to drive data-informed decisions across product, design, and marketing teams
We are looking for a motivated and skilled Data Engineer with a solid foundation in data pipeline development, geospatial data handling, and optimization algorithms. This role involves working with cutting-edge technologies including 3D simulation platforms, real-time data integration, and advanced optimization tools. You will contribute to the design, implementation, and optimization of data-driven solutions within simulation environments.