Data Analyst

2 weeks ago


Sunderland, Sunderland, United Kingdom Tombola Full time
About the Role

We are seeking a highly skilled Data Scientist to join our Data department in the Tech team at Tombola. As a key member of the team, you will be responsible for delivering data-driven insights and innovation across the organisation.

Key Responsibilities
  • Develop and implement data science and machine learning projects to enhance Tombola's data-driven decision-making ability.
  • Collaborate with key stakeholders to develop an understanding of business problems and how data can be used to help.
  • Design and evaluate statistical and machine learning models to enhance predictive and prescriptive capabilities across the wider business.
  • Work with the BI teams to ensure the value of complex data science projects is conveyed clearly and effectively.
  • Ensure all documentation for data science projects is maintained and updated to offer transparency across the entire ML life cycle.
Requirements
  • 2+ years of experience in a Data Science role delivering data-driven solutions to an organisation.
  • Strong proficiency in programming languages such as Python or R, and SQL.
  • A good understanding of a range of machine learning models and techniques.
  • Experience working with common data manipulation and machine learning packages including scikit-learn, numpy, pandas, and scipy.
  • Experience working with big data, statistical analysis, and data mining.
  • Experience of documenting and explaining data science projects to a range of different stakeholders.
  • Experience managing and building relationships with internal and external stakeholders.
  • Experience with cloud technologies such as AWS, Azure, or GCP (AWS would be a preference, but if not, we will provide necessary training).
What We Offer

As a Data Scientist at Tombola, you will have the opportunity to work on a wide range of exciting projects and collaborate with a talented team of professionals. We offer a competitive salary, market-leading benefits, and a hybrid working environment.


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