About this role
Senior Research Data Scientist who will work with world‑class teams to apply statistical techniques and marketing science to business problems, especially demand forecasting, clustering and measurement. Projects involve developing mathematical models for Price and Promotion experts, creating innovative solutions using generative AI, and packaging science modules for delivery across clients.
Key Responsibilities
- Create new science‑based solutions and capture them as science modules for cross‑client application.
- Apply machine learning approaches such as regularised regression, clustering, tree‑based ensembles, graph‑based methods, NLP, neural networks on client data.
- Perform exploratory data analysis to characterise and visualise datasets.
- Develop efficient science code using Python and Spark.
- Identify new opportunities within the Data Science space for future solutions.
- Resolve challenges by following QA processes and working with senior team members.
- Ensure smooth running of projects and maintain clear communication with stakeholders.
Who you’ll work with
- Applied and Research Data Scientist teams
- Data Science Engineering teams
- Product and Client teams when required
Requirements
- Master’s degree or equivalent in Computer Science, AI, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or related field.
- Experience with machine learning techniques such as regularised regression, clustering, or tree‑based ensembles and ability to implement them through libraries.
- Proficiency in Python programming and handling large data volumes with Hadoop, Spark, or SQL.
- Familiarity with open‑source ML packages such as Pandas and scikit‑learn and data visualisation technologies.
- Willingness to present work to both technical and non‑technical audiences and contribute to the wider data science community.
Plus If You Also Have
- PhD in related field.
- Experience in the retail sector.
Benefits and Working Conditions
You will receive a comprehensive rewards package, personal flexibility, flexible working hours, birthday off, and investment in cutting‑edge technology. We support work‑life balance and offer agile working options. We embrace diversity and inclusion through networks such as dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive.
Flexible Working Approach
We value and respect differences, building an inclusive culture that balances career with personal commitments. If flexible options are important to you, discuss agile working opportunities with your recruiter. Privacy information can be found in our Privacy Notice.
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