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Data Scientist




  • Assess project requirements and available data to consider modeling approach;
  • Confirm project requirements by studying user and project requirements;
  • Confer with others on project team to establish a common understanding of modeling issues;
  • Develop modeling plan and seek feedback from client facing team and client;
  • Create high quality models that result in high quality client deliverables;
  • Maintain documentation that allows for complete knowledge transfer to new and existing staff;
  • Coordinate with other team members to either obtain or provide support;
  • Maintain client confidence and protect confidentiality of information;
  • Provide insights to client inquiries and deliver high level of service;
  • Enhance comprehension of team regarding statistical models and statistical methods;
  • Maintain technical knowledge by attending educational workshops; reviewing publications; establishing personal networks; participating in technical societies;
  • Put in a theoretical structure;
  • Managing the local talents and supervising new team members.


Qualifications and Experience

Mandatory skills:

  • Five-year experience;
  • PhD mathematics, predictive modeling, statistics;
  • R or Python;
  • Currently creating snow-flake schemas to increase data access efficiency;
  • Ability to translate data relationships into models;
  • Experience in any industry (e.g. marketing industry);
  • Hands on building predictive models - practical modeller;
  • Modelling experience in a business environment;
  • ETL experience to add attributes (technology used: scheduled SQL scripts);
  • Proven track record working as a consultant in data analytics projects in Financial Services;
  • Familiar with Risk Management approaches and requirements;
  • Intermediate to advanced SQL skills to query and aggregate data;
  • Excellent analytical and problem-solving skills;
  • Fluent English (written/verbal).

Desirable skills:

  • Convey information in a clear and concise manner;
  • Ability to translate data into meaningful and actionable recommendations;
  • Ability to handle multiple, complex projects in a deadline-driven environment;
  • Working knowledge of basic statistical concepts and methods, including regression analysis;
  • Some experience working with MATLAB, IBM SPSS, SAS Business Intelligence or other similar modeling/analytics tools a plus.


About Endava

Endava is reimagining the relationship between people and technology. For the past 20 years it has helped some of the world’s leading Finance, Insurance, Telecommunications, Media, Technology, and Retail companies accelerate their ability to take advantage of new business models and market opportunities. We have more than 8200 employees located in close to client locations in Denmark, Germany, Netherlands, United Kingdom, United States and nearshore delivery centers in the EU: Romania, Bulgaria, Croatia and Slovenia; Central European Countries: North Macedonia, Moldova, Serbia and Bosnia and Herzegovina; Latin America: Argentina, Colombia, Uruguay and Venezuela.


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