Job details

Machine Learning Engineer, Analytics and Data Services- San Mateo, CA

  • Department: Analytics and Data Services
  • Location: San Mateo, CA, USA
  • Country: United States of America

Cyence Risk Analytics

Guidewire Software (NYSE: GWRE) is a leading provider of software solutions to the global property-casualty (P&C) insurance industry, with over 380 customers, on six continents. Cyence Risk Analytics, within Guidewire’s Analytics and Data Services business unit, leverages internet-scale data collection, adaptive machine learning and insurance risk modeling capabilities to help insurers and other financial institutions model evolving risks, develop new products and make better business decisions. To learn more about Cyence Risk Analytics, visit:



Our mission is to revolutionize the commercial insurance industry through data, building innovative AI solutions and automating the entire workflow. We are looking for a passionate, ambitious and talented machine learning engineer to help build and scale our data listening platform, introducing state-of-the-art techniques and solutions.



  • Work closely with data scientists to collect and curate large amounts of data
  • Develop and deploy machine learning systems and risk models into production
  • Build data pipelines to automate and scale internal processes
  • Work with engineers to design tools and frameworks to be used across teams
  • Communicate with product managers and domain experts to translate business challenges into data solutions
  • Work in a fast-paced Agile/Scrum environment to deliver high quality software



Required Skills

  • Advanced degree in Computer Science, Engineering, Mathematics or a related field
  • 2+ years of industry experience in a data science or data engineering role
  • Good understanding of ML techniques (parametric and non-parametric models, clustering, anomaly detection, evaluation metrics, interpretability methods)
  • Excellent coding skills in Python and SQL
  • Experience with Amazon AWS services such as EC2, Lambda, S3, Redshift
  • Experience building and productionizing end-to-end machine learning pipelines
  • Initiative, willingness to learn and motivation to have fun playing with data




  • Experience with end-to-end machine learning platforms such as MLflow, Kubeflow, AWS Sagemaker, Microsoft Azure ML
  • Experience working with big data tools such as Hadoop, Spark, Kafka
  • Solid statistics and modeling knowledge
  • Experience with Docker
  • Understanding of the P&C insurance industry and its challenges

Guidewire Software Inc. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.