Social network you want to login/join with: SeniorMachine Learning Engineer, Pricing, London Client: Location:London, United Kingdom Job Category: - EU work permit required: YesJob Reference: 6168a9af1e2b Job Views: 5 Posted: 16.02.2025 ExpiryDate: 02.04.2025 Job Description: At Zego, we know that traditionalmotor insurance holds good drivers back. It’s too complicated, tooexpensive, and it doesnt take into account how well you actuallydrive. That’s why, since 2016, we’ve been on a mission to changeall of that. Our mission at Zego is to offer the lowest pricedinsurance for good drivers. From van drivers and gig workers toeveryday car drivers, our customers are our driving force — they’reat the heart of everything we do. We’ve sold tens of millions ofpolicies so far, and raised over $200 million in funding. And we’reonly just getting started. Who were looking for We are looking fora Senior Machine Learning Engineer to play a key role in our CorePricing team. You will drive innovation by optimising andautomating Pricing processes to enable faster, more accuratedecision-making. Your work will focus on developing and maintainingtooling and frameworks that enhance the efficiency of ourpredictive models, reducing deployment times, increasingscalability, and improving model performance through regularupdates and monitoring. You will work closely with our DataScientists, Actuaries, and Product team to deliver scalable,production-grade ML systems. Key Responsibilities * Build modellifecycle tooling (deployment, monitoring and alerting) for ourpredictive models (for example claims cost, conversion, retention,market models) * Maintain and improve the development environment(Kubeflow) used by our Data Scientists and Actuaries * Develop andmaintain pricing analytics tools that enable faster impactassessments, reducing manual work * Collaborate with the technicalpricing, street pricing and product teams to gather requirementsand feedback on tooling and to build impactful technology *Communicate complex concepts to technical and non-technicalstakeholders through clear storytelling Required Skills *Education: Bachelor’s or Master’s degree in Statistics, DataScience, Computer Science or related field * Experience: Provenexperience in ML model lifecycle management * Core Competencies: *Model lifecycle: You’ve got hands-on experience with managing theML model lifecycle, including both online and batch processes *Statistical Methodology: You have worked with GLMs and othermachine learning algorithms and have in-depth knowledge of how theywork * Python: You have built and deployed production-grade Pythonapplications and you are familiar with data science libraries suchas pandas and scikit-learn * DevOps: You have experience workingwith DevOps tooling, such as gitops, Kubernetes, CI/CD tools (weuse buildkite) and Docker * Cloud: You have worked with cloud-basedenvironments before (we use AWS) * SQL: You have a good grasp ofSQL, particularly with cloud data warehouses like Snowflake *Version control: You are proficient with git * Soft Skills: * Youare an excellent communicator, with an ability to translatenon-technical requirements into clear, actionable pieces of work *You have proven your project management skills, with the ability tomanage multiple priorities * You have worked closely together incross-functional teams, including with Data Scientists, Actuaries,and Product Managers Nice To Have * Experience in UK motorinsurance * Telematics Data: Familiarity with behavioural drivingdata and its application in insurance pricing * Understanding ofpricing modelling tools such as Akur8 or Emblem * Experience withIaC (we use Terraform) * Experience with gRPC/protobuf What’s itlike to work at Zego? Joining Zego is a career-defining move.People go further here, reaching their full potential to achieveextraordinary things. We’re spread throughout the UK and Europe,and united by our drive to get things done. We’re proud of ourcompany and our culture – a friendly and inclusive space where wecan lift each other up and celebrate our wins every day. Together,we’re setting the bar higher, delivering exceptional work thatmakes a difference. Our people are the most important part of ourstory, and everyone here plays a role. There’s loads of room tolearn and grow, and you’ll get the freedom to steer your careerwherever you want. You’ll work alongside a talented group whoembrace each others differences and aren’t afraid of a challenge.We recognise our achievements, learn from our mistakes, and helpeach other to be the best we can be. Together, we’re makinginsurance matter. How we work We believe that teams work betterwhen they have time to collaborate and space to get things done. Wecall it Zego Hybrid. Our hybrid way of working is unique. We dontmandate fixed office days. Instead, we foster a flexible approachthat empowers every Zegon to perform at their best. We ask you tospend at least one day a week in our central London office. Youhave the flexibility to choose the day that works best for you andyour team. We cover the costs for all company-wide events (3 peryear), and also provide a separate hybrid contribution to help paytowards other travel costs. We think it’s a good mix ofcollaborative face time and flexible home-working, setting us up toachieve the right balance between work and life. We reward ourpeople well. Join us and you’ll get a market-competitive salary,private medical insurance, company share options, generous holidayallowance, and a whole lot of wellbeing benefits. And that’s justfor starters. We’re an equal opportunity employer and we valuediversity at our company. We do not discriminate on the basis ofrace, religion, national origin, gender, sexual orientation, age,marital status, or disability status. J-18808-Ljbffr