Data Science Principal
CHEP
CloudKubernetesPythonSpark
Senior Data Scientist
CHEP
full-time
Posted on:
Location Type: Hybrid
Location: Manchester • 🇬🇧 United Kingdom
Visit company websiteJob Level
Senior
Tech Stack
AWSAzureCloudHadoopPythonSparkSQL
About the role
- Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms.
- Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable.
- Drive continuous integration and deployment of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices.
- Develop and deliver sophisticated visualizations, dashboards, and reports translate complex data into clear, actionable insights for business stakeholders.
- Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption.
- Mentor and develop junior data scientists, fostering a culture of continuous learning, knowledge sharing, and skills development within the organization.
- Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and contribute to the development of novel solutions to solve complex business problems.
- Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team.
- Lead strategy development for one or more data products, managing roadmaps, identifying requirements, and collaborating with business stakeholders to ensure alignment with business goals.
Requirements
- Proven track record designing, developing, and deploying advanced machine learning and statistical models in complex supply chain environments.
- Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling.
- Proficient in programming languages such as Python, R, and SQL for data analysis and model development.
- Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark.
- Deep understanding of supply chain operations and the ability to apply data science methods to solve real-world business problems effectively.
- Strong foundational knowledge in mathematics and statistics, typically to at least MSc level, enabling rigorous analytical modelling.
- Demonstrated success driving cross-functional collaboration with product managers, engineers, and business stakeholders to deliver impactful, user-centric data products.
- Good presentation and communication skills, capable of translating complex analytical concepts to diverse audiences including non-technical stakeholders.
- Experience mentoring junior data scientists and fostering a culture of continuous innovation and best practice adoption.
- Skilled in balancing urgent delivery demands with long-term strategic planning, including supporting business case development and resource prioritization.
Benefits
- Hybrid Work Model
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical modelingdata analysisdata wranglingdata cleaningPythonRSQLHadoopSpark
Soft skills
collaborationpresentation skillscommunication skillsmentoringproblem-solvinganalytical thinkingstrategic planningknowledge sharingcontinuous learninguser-centric design