▷ (3 Days Left) Senior Data Scientist - CoreProducts

LexisNexis Risk Solutions
London, England
12 months ago
Applications closed
Posted
9 May 2025 (12 months ago)

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.