Senior Data Scientist

Would you like the opportunity to join GXO as a Senior Data Scientist? Are you experienced in leading the design & development of advanced data science? Are you wanting to lead for a global business on product & technical decisions?

Here at GXO, we’re proud to be recruiting for a SeniorData Scientist. The Senior Data Scientist is responsible for leading the design, development, validation, and production of advanced data science and machine learning solutions that improve decision-making across GXO’s global network.

This is a full-time permanent position, offering remote working with occasional travel. You’ll be working Monday to Friday, 09:00 till 17:00. However, some flexibility is required, as you will be working with various time-zones, including the US.

Pay, benefits and more:

We’re looking to offer a salary of up to £75,000 per annum, and 25 days annual leave (plus bank holidays). Your benefits package includes a company car or car allowance, company sponsored pension scheme, private medical & dental insurance, a 24/7 online GP service, life assurance and a fully comprehensive employee assistance programme. You’ll also have access to our MyBenefits platform offering a variety of high street discounts, a cycle to work scheme, cashback cards, a saving scheme and much more!

What you’ll do on a typical day:

• Lead the design, development, and validation of advanced statistical, machine learning, and optimization models to solve complex business and operational problems across GXO products and workflows.
• Partner with product managers, engineers, deployment leads, and business stakeholders to frame use cases, define success metrics, identify required data sources, and prioritize data science solutions
• Communicate analytical insights, model trade-offs, uncertainty, and recommended actions clearly to technical and non-technical stakeholders, helping teams make better operational and strategic decisions.
• Raise data science standards across the team through methodological review, documentation, mentoring, and continuous improvement

What you need to succeed at GXO:

• Previous experience in a data science, machine learning & advanced analytics
• Experience taking analytical or machine learning solutions from exploration through deployment and ongoing performance management.
• Strong Python and SQL skills, including experience building maintainable data science workflows, feature engineering pipelines, experimentation frameworks, and model evaluation code for production settings.
• Working knowledge of GCP-based data and ML environments, preferably including BigQuery, Vertex AI, and cloud workflows that support deployment, monitoring, and retraining

We engineer faster, smarter, leaner supply chains.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. GXO is an equal opportunity employer. We celebrate, support and thrive on diversity and are committed to creating an inclusive environment for all employees. We believe that diversity and inclusion in our business is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are an Armed Forces friendly organisation and Disability Confident Leader as part of the Disability Confident Scheme (GIS) and actively welcome applications from people with disabilities.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement