Senior Data Scientist - Returns Data Innovation (Basé à London)

About the Role:

As aSenior Data Scientistat Blue Yonder, you will spearhead innovation in the often-overlooked area ofreturns data. Retailers face significant losses and inefficiencies due to returns, and your expertise will help create AI-driven solutions to turn this challenge into an opportunity.

You will be the first full-time Data Scientist within Doddle (part of Blue Yonder) to lay the foundations and develop scalable, data-centric solutions that predict return patterns, enable dynamic returns policies, and improve customer scoring. Your insights will drive customer-focused strategies and promote an efficient and sustainable reverse supply chain, empowering retailers to make data-informed decisions.

Key Responsibilities:

1. Lead the development and implementation of machine learning models focused onreturns datato identify problematic return patterns, predict high-risk SKUs, and optimize returns management strategies.
2. Identify opportunities to apply diverse data science approaches to improving supply chain efficiency, through analysis of customer data and experimentation towards solving real business challenges.
3. Design and build data-intensive systems using Python and frameworks like Pyspark, with a focus on performance, data engineering, and API development.
4. Build forecasting models to provide visibility into expected returns, enabling retailers to adjust stocking levels, labor, and reordering strategies accordingly.
5. Contribute to onboarding new clients, leveraging your data expertise to address organizational and data-heavy tasks.
6. Operate in an agile, test-driven development environment with a strong focus on automation, quality, and continuous improvement.
7. Collaborate with Product and Engineering teams to ensure work aligns with business objectives and is suitable for production use.

Your Skills and Experience:

1. Proficient in Python and its open-source ecosystem, with contributions to the broader data science community.
2. Deep understanding of data handling and processing technologies such as MongoDB, PostgreSQL, Sisense and Snowflake.
3. Expertise in machine learning, data modeling, and building predictive algorithms.
4. Proven ability to design solutions that integrate data science into real-world challenges.
5. Passion for software craftsmanship and modern methodologies such as Kanban, TDD, and pair programming.
6. Experience working with cloud-based infrastructures for large-scale data solutions.

Why Blue Yonder:

1. A dynamic work environment focused on solving real-world challenges withadvanced data science.
2. Flexible, family-friendly working arrangements.
3. The opportunity to work with industry-leading technologies and methodologies.
4. A commitment to diversity and inclusion - our hiring decisions are based on qualifications and skills, and we welcome applicants from all backgrounds.

Our Values

If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values

Diversity, Inclusion, Value & Equity (DIVE) is our strategy for fostering an inclusive environment we can be proud of. Check out Blue Yonder's inaugural Diversity Report which outlines our commitment to change, and our video celebrating the differences in all of us in the words of some of our associates from around the world.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.#J-18808-Ljbffr