Data Scientist - Data & Insights

What will I be doing?

• Developing and testing rapid prototypes for data science services, and collaborating with Data Engineers to productionise the final product
• Collaborating with other Data Scientists to enhance Mable's matching engine
• Championing the use of advanced analytics across Mable, demonstrating how advanced analytics can be used to solve complex business problems
• Leading exploratory analysis to identify trends and insights, and verify hypotheses
• Identifying with data not only what is happening, but why it is happening and what it means
• Analysing the results of split (treatment / control) tests to determine which new product features or operational processes are effective
• Communicating your analysis, insights and recommendations to non-technical audiences, both verbally and in written form
• Partnering with a team of product managers, engineers, UX designers, and other business stakeholders
• Outlining the data implications for new product features
• Creating and maintaining dashboards to present insight and performance
• Ensuring that all data analysis adheres to the Mable privacy and security policies

What are we looking for?

• 2+ years of relevant industry work experience providing advanced analytics solutions which lead to actionable insights
• Good understanding of statistical modelling and machine learning techniques and using this understanding to drive business value
• Advanced knowledge of analytical tools such as R and Python
• Ability to communicate your insights and technical concepts to a non-technical audience, both verbally and in written form
• Experience using Tableau or another data visualisation tool to create data visualisations and dashboards
• Initiative and ownership to deliver work with autonomy
• Collaboration skills to partner effectively with multiple stakeholders 
• A “solutions mindset” of natural curiosity and a strong motivation to solve problems, no matter how complicated or ambiguous they might be
• Comfort with ambiguity, a fast-paced environment, and rapid business growth
• Above all else, a “can-do” attitude is the most important qualification!

What else would make a difference?

• Experience with recommendation engine algorithms, especially delivering recommendation algorithms to drive business value
• Familiarity with analytics tools such as Databricks and experience working with AWS
• Experience analysing split (treatment/control) tests, including statistical analysis