Data Science Manager

Data Science Manager manages the daily activities of the team responsible for identifying business trends and problems through big data analysis. Oversees the interpretation of results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Being a Data Science Manager manages the design and implementation of big data solutions for the organization. May require extensive knowledge of big data tools like Hadoop, Hbase, Hive, Zookeeper, etc. Requires a bachelor’s degree in related area. Additionally, Data Science Manager typically reports to senior management. The Data Science Manager manages subordinate staff in the day-to-day performance of their jobs. True first level manager. Ensures that project/department milestones/goals are met and adhering to approved budgets. Has full authority for personnel actions. To be a Data Science Manager typically requires 5 years experience in the related area as an individual contributor. 1 – 3 years supervisory experience may be required. Extensive knowledge of the function and department processes.

Data Science Manager Job Description Template

Our company is looking for a Data Science Manager to join our team.


  • Building machine learning models, specifically natural language processing models, in Python, to develop insights for the business;
  • Effectively delivering data to management to provide insight into solving the biggest problems in the company;
  • Advanced machine learning modelling applied to large messy data sets using Python;
  • Developing natural language processing products, in Python, for clients to provide solutions to their challenges;
  • Providing innovative approaches and solutions;
  • Providing actionable insight to the wider business;
  • Kick start the acquisition of customers through both online and offline methods;
  • Work with large data sets on advanced analytic projects;
  • Creation and delivery of customer-first data science-driven through action;
  • Be able to translate data and speak to non-technical people about your decisions and recommendations;
  • Establishing and spotting opportunities for advocating data science techniques.


  • Propensity modelling;
  • Understanding of statistical and machine learning applications for general insurance;
  • Experience of working with cloud infrastructure preferred;
  • Data curiosity to understand problems and surface interesting facts;
  • Ability to explain and articulate technical concepts to specialist and non-specialist audiences;
  • Proficiency in using Python, R and other relevant programming languages;
  • Strong team player who is able to work with people and deliver on projects by taking ownership;
  • Machine Learning;
  • Proven track record of embedding data science solutions in a commercial context;
  • Python or R;
  • Highly dedicated and committed to delivering quality output by working to deadlines;
  • Strong interpersonal skills;
  • Innovative approach to solving business problems using data.