We focus on solving complex real-world business problems that require an advanced understanding of statistics and algorithms. We always work alongside commercial teams to ensure that our work creates immediate, tangible and measurable business impact, via innovations deployed in the business within a 6-12 month timeframe.
Role Responsibility
As a Data Scientist (Big Data) you will have the following responsibilities:
- Analyse and link complex datasets so that they may be learned from.
- Build mathematical models on top of big data architectures to gain deep insights into opportunities to improve the customer experience and the Tesco business.
- Understand difficult business problems and prototype data science solutions.
- Scientifically analyse and evaluate the effectiveness of different approaches to guide future development and track the value created by the team.
- Communicate complex solutions in a clear, understandable way to non-experts.
- Promote data science across Tesco.
You are an experienced Data Scientist with a deep expertise in big data architectures and the mathematical background required to build suitable models that learn from our large data sets. You therefore tick the majority of the following points:
Deep Mathematical Understanding:
- A strong numerical degree and a good understanding of statistical and/or probabilistic techniques.
- The ability to use your academic knowledge to tackle specific business problems.
- Expertise in at least one specific big data / machine learning area (e.g. text mining, recommender systems, pattern recognition, regression models, probabilistic models, etc.)
- Experience with open source big-data technology, such as Apache Hadoop, Spark, Impala, Hive, Pig, MapReduce.
- Experience with different programming languages and good grasp of at least one language.
- A background or strong understanding of the retail sector and/or ecommerce would be advantageous but is not required
Tesco is embracing data-science solutions full on, exploiting expert techniques to drive the business ambition of becoming a multi-channel leader. Tesco has over 3,000 stores, successful online and digital businesses and a truly innovative culture. Tesco is also one of the pioneers, in the retail domain, of extracting value from the large amounts of data it is producing on a daily basis. Data science is essential to make sense of these data and to help Tesco make better decisions on top of these insights.
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