Data Science Data Science Senior Data Scientist (Python) (Remote) in London

We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling financial institutions, aircraft manufacturers, tech giants, airlines, airports, travel companies, and many more accelerate their own digital transformation. Data Science Core is a key pillar of the Data Organisation. By leveraging the latest advancements in AI and ML, the team paves the way for the future of the business, providing new predictive insights for our products, and new ways of working for our internal teams through AI workflows. Our projects are wide ranging, touching every part of Cirium.

The Senior Data Scientist will work closely with both our client-facing and Product teams to enhance our analytical capabilities in support of scalable, customer-led solutions. This position emphasizes rapid prototyping of models and workflows, promoting agile iteration and continual improvement. The role also includes developing reusable frameworks for emerging use cases and contributing to the advancement of our data science expertise and capabilities.

• Hands-On Development: Apply expertise in statistics, machine learning, and AI to build efficient analytics workflows for internal teams and customers, using an iterative approach.
• Mentorship: Act as a technical leader and mentor for junior data scientists, supporting skills development and best practices.
• Collaboration: Partner closely with Product, Engineering, and Data teams to ensure solutions are scalable, reliable, and aligned to Cirium’s strategy.
• AI Adoption: Drive changes in company practices through AI adoption, acting as a key enabler in leveraging AI across teams.
• Leadership & Ownership: Take initiative and lead projects, delegate tasks as needed and engage regularly with stakeholders to enable high-value initiatives and ensure continued alignment.

Experience working as a data scientist in a commercial setting, with a proven track record of delivering commercial value through data science initiatives. Excellent Python and SQL skills. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Data engineering skills, with the ability to manipulate and process data at scale. Curiosity to explore and delve into emerging capabilities with a clear link to commercial value. Highly self-directed, capable of managing tasks, projects, and stakeholders independently. Demonstrated track record of delivering analytics projects through R&D and discovery to production, with a clear understanding of the Data Science & Machine Learning Lifecycles. Demonstrated track record of implementing and fine-tuning LLM/AI workflows. Strong competency leveraging Gen AI in your daily tasks to speed up efficiency. Experience with the AWS stack, Spark, Databricks, and/or Snowflake is desirable.

Generous holiday allowance with the option to buy additional days, health screening, eye care vouchers and private medical benefits, wellbeing programs, access to a competitive contributory pension scheme, Save As You Earn share option scheme, travel season ticket loan, electric vehicle scheme, optional dental insurance, maternity, paternity and shared parental leave, employee assistance programme, access to emergency care for both the elderly and children, access to employee discounts scheme via Perks at Work.