Data Science Team Lead, Cirium (Hybrid)
About the Business:
At Cirium, our goal is to keep the world connected. 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 airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium at the link below. https://www.cirium.com
About our Team:
You will lead a small team of 2-3 people, initially, and have ownership of a portfolio of Data Science work including generative-AI based insight tools to support our commercial teams and research and development for the next generation of Cirium Products.
About the Role:
Reporting to the Head of Data Science, you will split your time between people leadership – providing coaching to and developing your team, and hands-on project work.
You will be directly responsible for the portfolio backlog for your team, working closely with key stakeholders to prioritise. You will have accountability for execution and delivery against your portfolio as well as driving best practices within your team.
Responsibilities
- Managing 2-3 data scientists initially, supporting their development, setting objectives, assigning and overseeing projects, and driving a high performance culture
- Owning a portfolio of work, collaborating closely with stakeholder. to prioritise across the portfolio. Working with ML Ops to ensure that projects are delivered into production and delivering value to the business
- Driving best practices within your team, following repeatable, scalable patterns for development and delivery of projects
- Working with Data Governance to ensure the models and analytics your team develops are understood and properly governed
- Understanding the role your team plays in delivery of our business strategy. Working closely with other leaders within the Data Science team and the wider business to ensure strategic alignment
- Hands-on development, research, and delivery of solutions into production
Requirements
- Have experience in a Data Scientist role within a commercial setting. You will demonstrated track record of driving projects from inception to deployment. Have a good understanding of the Data Science Lifecycle and be adept at stakeholder and project management
- Demonstrate technical skills in Python and Spark, with experience using AWS tooling and Databricks would be ideal
- Show broad applied knowledge across standard machine learning techniques, with experience in building LLM-based applications a significant benefit
- Demonstrate ability to think strategically, and prioritise and delegate work across several projects within your portfolio
- Experience managing, developing and/or mentoring other Data Scientists. Our people are central to our success as a business, and you will need to be passionate about people leadership
- Demonstrate commercial acumen, with a clear understanding of how to leverage Data Science and AI to drive business value. Experience working with Sales and Marketing teams is beneficial
At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.
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