Senior Research Data Scientist
Join a world‑class team that applies statistical techniques and marketing science to business problems, including demand forecasting, clustering, and measurement. The role involves developing mathematical models, innovative product solutions, and exploring new opportunities for data science across global clients.
What You’ll Be Doing
- Create new science‑based solutions that can be captured as science modules and applied across clients.
- Apply machine‑learning approaches such as regularised regression, clustering, tree‑based ensembles, graph‑based methods, NLP and neural networks to client data.
- Conduct exploratory data analysis to characterize and visualize datasets.
- Expand programming skills in Python and Spark to develop efficient science code.
- Identify new opportunities within the Data Science space for future solutions.
- Implement guidance from colleagues to resolve challenges.
- Follow Quality Assurance processes, coding standards, and best practices.
- Ensure smooth project delivery, working with senior team members for direction.
- Build strong relationships within the team and with internal stakeholders to enable clear communication.
Who You’ll Get to Work With
- Applied and Research Data Scientist teams
- Data Science Engineering teams
- Product and Client teams as required
What We Expect From You
- Master’s degree or equivalent in Computer Science, AI, Machine Learning, Statistics, Applied Statistics, Physics, Engineering or a related field.
- Experience with machine‑learning techniques such as regularised regression, clustering, or tree‑based ensembles, and the ability to implement them through libraries.
- Proficiency in Python programming and handling large data volumes with modern processing tools (e.g., Hadoop, Spark, SQL).
- Experience with, or quick learning ability for, open‑source machine‑learning packages such as Pandas, scikit‑learn, and data visualization tools.
- Willingness to present work to both technical and non‑technical audiences and contribute to the wider data‑science community.
A Plus If You Also Have
- PhD in a related field.
- Experience in the retail sector.
What You Can Expect From Us
Comprehensive rewards and benefits typical of a leading technology company, including flexible working hours and personal day off for your birthday. Additional perks include access to cutting‑edge technology and a supportive, inclusive workplace culture that embraces diversity and inclusion.
Our Approach to Flexible Working
We value work‑life balance and support flexible working arrangements as needed. If flexible options are important to you, please discuss them with your recruiter during the hiring process.
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