Data Scientist

Data Scientist I identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Being a Data Scientist I designs, develops and implements the most valuable business solutions for the organization. Prepares big data, implements data models and develops database to support the business solutions. Additionally, Data Scientist I may require an advanced degree. Typically reports to a manager. The Data Scientist I work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist I typically requires 0-2 years of related experience.

Data Scientist Job Description Template

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


  • Develop proof-of-concept studies to help support large grant proposals;
  • Applying and optimising machine learning algorithms;
  • Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations;
  • Taking on board feedback and ensuring models can be effectively deployed by the tech team;
  • Use data insights to design and build Machine Learning algorithms;
  • Building out the data product from POC to production ready system;
  • Propose solutions and strategies to business challenges;
  • Build predictive models and machine-learning algorithms;
  • Use predictive modeling to optimize customer experiences, revenue generation, ad targeting and other business outcomes;
  • Explaining model concepts and performance in a clear and comprehensive way to our sales teams and, on occasion, our clients;
  • Collaborate with engineering and product development teams;
  • Analyse data and report results to help inform decision making;
  • Analyse data using a core AI tool, working alongside a leading data scientist Chief Technical Officer;
  • Statistical Data Analysis, predictive modelling and simulations;
  • Simulation models to help optimise operational processes and quantify and manage operational risks.


  • Exceptional Microsoft Office skills;
  • A PhD in a numerical discipline (pure maths, statistics, physics or Computer Science ideally);
  • Strong experience visualising data and insights;
  • Fluency in R and SQL – proficiency in Mathematica, C, C++, Java, Python, Fortran, MATLAB, SAS, SPSS and ML libraries is a bonus;
  • Experience with statistical tools such as R, Mathematica, Matlab, SPSS;
  • BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative field;
  • Fluency in Python (experience with R is a plus);
  • Experience using one or more of the following, R, Python, SQL modelling, VBA or similar;
  • Educated to Masters level in Computer Science, Engineering, Electronics, Mathematics, Physics, Statistics or other relevant disciplines;
  • Coding knowledge and experience with commonly used languages: Python, JavaScript, Java etc;
  • Tableau, Qlik Sense, matplotlib, ggplot2, SQL, Python, R, Google BigQuery experience is a bonus;
  • Experience with distributed data/computing tools like Spark, Hadoop preferable;
  • A team player who can collaborate with engineers, product managers, and other cross-functional teams;
  • Have the drive and resilience to try new ideas when the first ideas don’t work, stay on your feet and operate with minimal supervision;
  • Working knowledge of machine learning concepts and techniques and their application.