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 here: https://www.cirium.com

About our team: We work closely with Product, Technology and Sales teams, building upon foundational data sets too provide new insides and build new predictive products. Your role will be to lead discovery, experimenting on new concepts, and ultimately building new products through analytics, machine learning and AI.

About the Role: The Senior Data Scientist will lead R&D on our core products, support customer discovery, and production & delivery across a wide portfolio of projects, working to deliver on Cirium’s vision to be the world leader in aviation analytics and power every decision connected to aviation.

Responsibilities:
Working across the Cirium business departments and directly with our customers where appropriate
Using your expertise in data analysis, statistics, and machine learning, you will build and deliver high-value analytics products to our customers
Contributing your expertise to lead on and deliver projects, inform best practices across our department, and support skills development across the team
Showing initiative and taking ownership and responsibility for projects you are leading, delegating tasks where needed to the wider team
Engage regularly with Product and other internal stakeholders to ensure that we maintain agility, focus our efforts on the highest value initiatives, and are data-driven in our decision making

The focus of the role will work with data and product owners to innovate on our suite of core products to add more and exciting value to our customers. This includes innovating in areas such as Aircraft Analytics, Schedules, Traffic & Fairs, and internal AI-centric projects supporting our Data Research & Curation teams.

Requirements
Significant experience working as a data scientist in a commercial setting
Demonstrated track record of delivering analytics projects through R&D and discovery to production, with a clear understand of the Data Science & Machine Learning Lifecycle
Excellent communication skills, able to work across departments, engage with senior leadership, and work directly with our customers
Excellent commercial awareness, able to prioritise across several projects and to lead and coordinate larger initiatives
Good Python and SQL skills, experience with the AWS stack, Spark, Databricks and/or Snowflake desirable
Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production
Experience with Aviation data sets is desirable.
Very good data engineering skills, with the ability to manipulate and process data at scale

Learn more about the LexisNexis Risk team and how we work here

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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: