Data Science Team Lead
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
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
Learn more about the LexisNexis Risk team and how we work here
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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK .
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.