Senior Data Scientist - Core Products

LexisNexis

Cirium, part of LexisNexis, is an industry leader in aviation analytics, committed to transforming the aviation industry. The Senior Data Scientist role exists to innovate and enhance Cirium’s core products, supporting digital transformations across diverse sectors. The team works collaboratively to achieve high-impact results, informing every decision connected to aviation.

In this role you can expect to have the responsibilities:

• Collaborate with various departments and directly with customers.
• Utilize expertise in data analysis, statistics, and machine learning to build analytics products.
• Lead projects, contribute to best practices, and support team skill development.
• Demonstrate initiative and ownership of project leadership, delegating tasks when necessary.
• Engage with product and internal stakeholders to maintain agility and focus on high-value initiatives.

This role comes with the following benefits:

• Opportunities for high commercial impact and strategic skill development.
• Inclusive workplace with diverse employee networks.
• Commitment to innovation and collaborative problem-solving.

This role requires you to have:

• Significant experience as a data scientist in a commercial environment.
• Proven track record in delivering analytics projects through R&D and production.
• Excellent communication skills for engaging with leadership and customers.
• Strong commercial awareness and ability to manage multiple projects.
• Proficiency in Python and SQL.

You would benefit from having:

• Experience with AWS, Spark, Databricks, and Snowflake.
• Understanding of statistical modelling and machine learning algorithms.
• Experience with aviation data sets.
• Solid data engineering skills to handle large-scale data.

LexisNexis promotes diversity and inclusivity with 30 employee networks globally, ensuring equitable processes and inclusive leadership. They are committed to accessible hiring processes, offering a form for applicants requiring accommodations.