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▷ (3 Days Left) Senior Data Scientist - CoreProducts

LexisNexis Risk Solutions
London
1 month ago
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Data, Research & Analytics Senior Data Scientist -Core Products - Contract Type: Regular - Schedule: 35 - Job ID:R91713 About the business: At Cirium, our goal is to keep the worldconnected. We are the industry leader in aviation analytics;helping our customers understand the past, present, and predictingwhat will happen tomorrow. Our mission is to transform the aviationindustry by enabling airlines, airports, travel companies, techgiants, aircraft manufacturers, financial institutions and manymore accelerate their own digital transformation. You can learnmore about Cirium here: Cirium. About the Role: The Senior DataScientist will lead R&D on our core products, support customerdiscovery, and production & delivery across a wide portfolio ofprojects, working to deliver on Cirium’s vision to be the worldleader in aviation analytics and power every decision connected toaviation. Responsibilities: 1. Working across the Cirium businessdepartments and directly with our customers where appropriate. 2.Using your expertise in data analysis, statistics, and machinelearning, you will build and deliver high-value analytics productsto our customers. 3. Contributing your expertise to lead on anddeliver projects, inform best practices across our department, andsupport skills development across the team. 4. Showing initiativeand taking ownership and responsibility for projects you areleading, delegating tasks where needed to the wider team. 5. Engageregularly with Product and other internal stakeholders to ensurethat we maintain agility, focus our efforts on the highest valueinitiatives, and are data-driven in our decision making. 6. Thefocus of the role will work with data and product owners toinnovate on our suite of core products to add more and excitingvalue to our customers. This includes innovating in areas such asAircraft Analytics, Schedules, Traffic & Fairs, and internalAI-centric projects supporting our Data Research & Curationteams. Requirements: 1. Significant experience working as a datascientist in a commercial setting. 2. Demonstrated track record ofdelivering analytics projects through R&D and discovery toproduction, with a clear understanding of the Data Science &Machine Learning Lifecycle. 3. Excellent communication skills, ableto work across departments, engage with senior leadership, and workdirectly with our customers. 4. Excellent commercial awareness,able to prioritise across several projects and to lead andcoordinate larger initiatives. 5. Good Python and SQL skills,experience with the AWS stack, Spark, Databricks and/or Snowflakedesirable. 6. Solid understanding of statistical modelling andmachine learning algorithms, and experience deploying and managingmodels in production. 7. Experience with Aviation data sets isdesirable. 8. Very good data engineering skills, with the abilityto manipulate and process data at scale. At Cirium we’re incrediblyproud of our five employee created values for our organisation. Thetwo that stand out for this role are “We team up” (make decisionstogether and grow) and “We Aim High” (solve problems that otherscan’t). If you want to be in a role that gives you dailyopportunities to have high commercial impact, while using anddeveloping incredible strategic thinking and analytical skills,then get in touch. We are an equal opportunity employer: qualifiedapplicants are considered for and treated during employment withoutregard to race, color, creed, religion, sex, national origin,citizenship status, disability status, protected veteran status,age, marital status, sexual orientation, gender identity, geneticinformation, or any other characteristic protected by law. We arecommitted to providing a fair and accessible hiring process. If youhave a disability or other need that requires accommodation oradjustment, please let us know by completing our Applicant RequestSupport Form or please contact 1-855-833-5120. EEO is the LawSupplement . Pay Transparency . #J-18808-Ljbffr

National AI Awards 2025

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