• Work across Expel using both traditional machine learning and generative AI to solve meaningful problems • Help teams develop the right metrics to measure what matters • Build models that surface threats in our customers’ environments • Design AI-powered tools that make our analysts faster and smarter • Collaborate across operations, engineering, and service delivery to ensure AI and ML capabilities are easy to deploy, monitor, and maintain • Partner with subject matter experts to explore where prompt engineering, knowledge retrieval, and agentic AI can deliver real value alongside classical approaches • Mentor and coach other data scientists and curious non-DS colleagues

• Research, design, implement and validate complex algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts. • Leverage advanced analytics and data science to resolve complex analytical problems using quantitative approaches through a combination of analytical, mathematical and technical skills. • Build analytical machine learning solutions that predict and influence customer operating experience. • Partner with domain experts to verify model capabilities and with IT resources to enable appropriate data flow/data model development using appropriate tools/technology, rapid prototyping and inform the design of analytical products. • Identify relationships with patterns in data by using a suite of data exploration and data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP and extracts insights into multivariate data by applying principles of multivariate data mining, small sample statistical inferential tests, dimension reduction techniques to understand the underlying structure of the data and enable sound conclusions upon model building. • Synthesize current business intelligence or trend data to support recommendations for action. • Develop applications for a Cloud-based environment and data extraction tools from a variety of sources using experience with Big Data technologies including SQL query language, Java, Python and C++. • Collect business intelligence data from available industry reports, public information, field reports, or purchased sources. • Identify and analyze industry or geographic trends with business strategy implications. • Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders. • Create business intelligence tools or systems, including design of related databases, spreadsheets, or outputs. • Conduct or coordinate tests to ensure that intelligence is consistent with defined needs. • Analyze complex automotive and commercial vehicle business systems, industry requirements and data regulations. • Process and manage large data sets for vehicle and engine systems. • Perform comprehensive Requirements Analysis to evaluate relationships and interdependencies between requirements based upon their complexity and value to the business in order to determine feasibility and prioritization. • Utilize Agile software development methodologies to manage projects such as software development and advanced analytics product development to increase productivity and deliver products that meet value to customers.

Role Description Appodeal is looking for a Head of Publishing to lead and grow our Accelerator program . This is a strategic leadership role for someone with deep expertise in mobile game publishing, user acquisition, and monetization. The ideal candidate will drive the execution of our accelerator strategy, manage key partnerships, and optimize performance to ensure long-term success. As Head of Publishing , you will be responsible for: - Expanding our portfolio, maximizing revenue, and ensuring that our games achieve their full market potential. - Collaborating closely with internal teams and external partners to develop a thriving publishing ecosystem. Key Responsibilities - Publishing Strategy: Develop and execute a scalable and data-driven strategy for game publishing, ensuring alignment with business goals. - Portfolio Growth: Identify and onboard high-potential game titles, working with developers to enhance their marketability, monetization, and performance. - Market & Trend Analysis: Stay ahead of industry trends, analyzing competitor strategies and emerging opportunities to refine our publishing approach. - P&L Management: Oversee the financial performance of the publishing unit, ensuring profitable growth and optimal resource allocation. - Cross-Functional Leadership: Collaborate with Product, Monetization, User Acquisition teams to ensure seamless execution and performance optimization. - Partner & Developer Relations: Build and maintain strong relationships with game developers, fostering long-term partnerships. - Performance Tracking & Optimization: Continuously analyze key metrics, adjusting strategies to improve retention, engagement, and monetization. - Team Leadership & Culture: Lead a team of publishing professionals, fostering a culture of innovation, accountability, and high performance. Qualifications - You've personally owned P&L responsibility and can point to measurable outcomes: portfolio ARPU growth, studio retention rates, revenue scaled. - Proven experience in mobile game publishing, with a strong track record of launching and scaling successful titles. - 10+ years in leadership roles within game publishing, mobile gaming, or a related field. - Deep knowledge of user acquisition, monetization strategies, and ASO. - Strong analytical skills with the ability to interpret data and optimize publishing strategies. - Excellent negotiation and relationship-building skills for managing developers and external partners. - Ability to manage multiple projects in a fast-paced and evolving environment. - Strong communication and leadership skills, with experience collaborating across distributed teams. Nice to Have - Degree in Marketing, Business, or a related field. - Experience working within an integrated adtech-to-publishing model. Benefits - With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.

Title: Senior Data Scientist - Telematics Location: London England GB Job Description: About the Team We don't build pricing models, we build the driving intelligence that feeds them. Our mission is fairer insurance, priced on how people drive, not on who they are, and safer roads. The Telematics team turns raw phone sensor data into meaningful signals about how people drive. Using signal processing and machine learning on high-frequency GPS, accelerometer, and gyroscope data, we extract the behavioural features that power Zego's understanding of driving quality, context, and risk. The Telematics Data Science team collaborates daily with engineering, product, and actuarial colleagues across the UK and PT. We're one team across Portugal and the UK. PT and UK roles carry the same scope, ownership, and progression. Decisions get made where the work happens, not in a single headquarters. This isn't a solo remote seat; you'll join an established team of peers. About the Role Few teams use phone sensor data to price commercial motor insurance at scale. As a Senior Data Scientist, you'll shape how millions of trips are turned into risk signals. You'll own behavioural features and algorithms from hypothesis to production, working at the intersection of data science and engineering on GPS, inertial, and other sensor data. You'll move between quick heuristics and full ML models depending on what the problem calls for. You ship code to production, not just notebooks. Requirements What You'll Be Doing - Work with raw, high-frequency sensor data: GPS, accelerometer, gyroscope, at scale. This isn't warehouse-tabular data: it's noisy, physical, and where the signal actually lives. You'll be processing more than 250k trips per day. - Research new behavioural features and detection algorithms: read the literature, try ideas, kill the ones that don't survive contact with real data. - Design and build behavioural features and factors that feed Zego's understanding of driving quality, context, and risk. - Take ideas from hypothesis to production: prototyping in notebooks, then writing the production-grade Python and SQL that scales. - Prioritise simple, robust solutions, rule-based when that's enough, ML when it's warranted. - Lead experiments, validate impact with data, and automate insight generation. - Collaborate closely with software engineers, product managers, and and actuaries to get features into the pricing path and measure their effect on real policies. - Translate complex sensor data into clear findings that non-technical stakeholders can act on. About You - MSc (or integrated MEng/MSc) in a quantitative field: Engineering, Computer Science, Physics, Mathematics, or similar. This is a core role that requires strong engineering foundations. - Working knowledge of digital signal processing or sensor physics — you can reason about noise, sampling, filtering, and the physical meaning behind a signal, not just its numbers. - Proven track record delivering data science or data engineering projects into production. You write production-grade code, not just notebooks. - Strong Python and SQL (we use Snowflake). Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn. - Experience developing and evaluating ML models on tabular data — classification or regression tasks where evaluation matters as much as model choice. Think passenger-vs-driver detection, transport-mode classification, or score predictiveness. - You've designed, built, and maintained data pipelines from scratch: reliable, observable, and scalable. - Fluent with AI coding assistants as part of daily engineering work. We use Claude Code across the team and expect candidates to be comfortable working with tools of this kind. - Strong communicator: you translate ambiguous problems into structured, testable ideas, and share insights clearly with technical and non-technical audiences. - Growth mindset: curious, open to feedback, driven to keep improving. Nice to Have - Experience applying signal processing to noisy, high-frequency sensor/time-series data (GPS, accelerometer, IMU) in production. - Exposure to insurance, mobile data, or behaviour modelling. - Experience with cloud platforms (AWS), containerisation (Docker, Kubernetes), or data orchestration frameworks. - Familiarity with our ML and tooling stack: MLflow for experiment tracking, DVC for data versioning, Streamlit for internal apps and demos. Benefits What’s it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day. Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want. You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter. How we work We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. While some of our team choose to come into our central London office once a week, we’re flexible - some people prefer being in once a month or even quarterly. It’s all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance. Our approach to AI We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well. Benefits We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters!