Digital Data Scientist

We are currently partnering with a market leading network provider, who are looking for a Digital Data Scientist who can help drive a data led product development culture by curating deep insights and learnings that start with a hypothesis, sound experimentation framework and robust measurement for iterative development that enhance their digital feature set and users experience from digital engagement.

You will work closely with other members of the Digital Analytics and Insights team covering analytic, visualisation, data instrumentation and business stakeholders to raise the profile and engagement of digital analytics across the organisation. This is s hybrid role, you will be required to attend the Reading office 2 days per week.

What we are looking for:

• Experienced Data Scientist with extensive experience in the digital domain.
• Technical expertise in experimentation, data mining and data science approaches to predict, optimise and categorise outcomes leading to data led product development.
• Competent understanding of web analytic tools such as Adobe Analytics / Google Analytics.
• Excellent critical thinking skills to help solve business problems and make decisions.
• Passionate about producing high-quality insights that drive feature development with engaging communication of results to a broad audience.
• At ease working with complex data sets applying strong technical coding skills in Python / R / SQL to develop analytical solutions.
• Strong visual design skills in bringing complex insights to life with applications like Tableau / D3 / RShiny.
• Self-starter with the ability to demonstrate self-direction, take others on a journey to achieve outcomes.
• Collaboration skills to work across the organisation with virtual teams and stakeholders, leading the digital data led agenda.
• Strong attention to detail regarding data, data quality and scripting to ensure robust and grounded recommendations are made.

Project People is acting as an Employment Agency in relation to this vacancy.