Job Description:
This position is project-based with an expected end date of December 31, 2026 . As we approach this date, we will collaborate with you to explore other employment opportunities within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will conclude.
Please consider whether you are comfortable pursuing recruitment for this role, given its project funding, and the necessity to secure your next full-time or promotional opportunity with Mars before December 31, 2026 .
This role is a key member of data science component of the Manufacturing D&A team. We are searching for a highly experienced data scientist to help deliver Pet Nutrition's digital transformation objectives. The role sits within a multi-disciplinary D&A team and focuses on managing and delivering projects, identifying and implementing strategic opportunities and working with the business to extract value from their data assets.
This will demand rapidly learning about the data we have, the business needs/challenges and applying expertise in analytics and data science delivery to turn this into great insight that is ultimately actionable and leads to valuable outcomes for the business.
What are we looking for?Degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline.
Nice to have Master's / PhD with computing, scientific, statistical, or mathematical component.
10+ years experience working as a Data Scientist.
5+ years varied technical experience in delivering statistical analytics, data science and insight on large-scale consumer data sets across multiple sectors, including packaged goods and retail.
Demonstrated ability to collaborate in a cross functional team including data engineer, data architect, general IT and non-technical stakeholders
Demonstrable experience using data science and advanced analytics to generate business value and change, including optimisation of production processes
Great knowledge of Python and in particular, the classic Python Data Science stack (NumPy, pandas, PyTorch, scikit-learn, etc) is required; Familiarity with PySpark is also desirable.
A cloud platform experience (e.g Azure, AWS, GCP), were using Azure in the team.
Good SQL understanding in practice
Capacity and enthusiasm for coaching and mentoring less experienced data scientists, including code reviews, training sessions
Must have excellent communication skills and interact effectively with all levels of internal business stakeholders in a global and multicultural environment.
3+ years of experience writing production-level code: Routine use and deep understanding of the best practices with version control, unit testing, CI/CD and in general, MLOps for model lifecycle management and monitoring. Familiarity with containerization (Docker) and orchestration for scalable deployment.
Ability to write re-usable code
Plan and lead data science projects to understand and optimise manufacturing processes across different regions and plants.
Manage multiple projects at the same time
Use machine learning techniques, visualisations, & statistical analysis to gain insight into various data sets some readily available, and some that have been created and curated by yourself.
Apply the right data science approach to proactively identify inefficiencies and drive pragmatic, actionable solutions to enhance manufacturing processes and productivity.
Develop compelling stories that provide insight into the drivers of process & plant performance
Regularly present work to stakeholders with context and implications, as well as Insights for feedback.?
Collaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations and be a key player in our network of data talent.
Apply a pet and pet-owner centric approach to problem solving across divisions ensuring highest standards of insight and data science delivery to create change.
Contribute to a high performing analytics and data science function.
Mentoring, coaching, and inspiring the team.
Thorough application and documentation of best practice standards in the execution of analytics projects for value creation, including suggesting enhancements.
Enthusiastically learn new technologies and techniques relevant to the business problems, identifying the correct solution.
Contribute to the upskilling of Pet Nutrition by inspiring local teams with insight and storytelling to gain deeper engagement with the digital transformation strategy.
Participate in communities of data science talent with a desire to share, network and communicate with other analytical and data experts to advance learning and understanding of pets and pet-owners.
Adhere to consumer and pet privacy frameworks, terms, consents and approaches to ensure we position ourselves to empower consumers, to effectively leverage data for their advantage and to abide by all laws and relevant best practices. ?
Work with diverse and talented Associates, all guided by the Five Principles.
Join a purpose driven company, where were striving to build the world we want tomorrow, today.
Best-in-class learning and development support from day one, including access to our in-house Mars University.
An industry competitive salary and benefits package, including company bonus
#TBDDT
JBRP1_UKTJ
Read LessJob Description:
Mars Inc. is undertaking a global transformation program delivering a standard core of best practice processes and systems across its Enterprise and segment divisions.
This Vendor Data Domain Lead role serves to represent the Shared Template the global ERP master data design and associated maintenance process design and technical deployment. This role will work with the Global Process Owners, business process subject matter experts and peer roles in other segments to design and deploy world class End to End data solutions.
What are we looking for?Process knowledge:
The Vendor Data Domain Lead is a global expert on vendor master data and how that data is managed through the Edge and ERP systems.
The role needs to partner with segment and Corporate function teams to ensure a clear understanding of global processes to represent the segment as the global data process champion for the related functional areas.
Solution Design:
The role partners within the various segment, as well as with Enterprise teams, on vendor data design and related software decisions.
The role participates with the cross functional segment and MGS teams, solution architects, and Business Integration partners on solution design to ensure a clean core vendor master data model while enhancing operational capability and enabling process simplification, aligned with Mars strategic direction for master data management.
Solution Deployment:
The role will be accountable for the deployment of the vendor master data design and associated master data management solution in the global markets and will partner with the local deployment teams to ensure a consistent and successful deployment (go-live and stabilization).
#TBDDT
JBRP1_UKTJ
Read LessJob Description:
This position is project-based with an expected end date of December 31, 2026. As we approach this date, we will collaborate with you to explore other employment opportunities within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will conclude.
Please consider whether you are comfortable pursuing recruitment for this role...
Read LessJob Description:
Mars Inc. is undertaking a global transformation program delivering a standard core of best practice processes and systems across its Enterprise and segment divisions.
This Vendor Data Domain Lead role serves to represent the Shared Template the global ERP master data design and associated maintenance process design and technical deployment. This role will work with the Global Proce...
Read Less