Endava is reimagining the relationship between people and technology. We have helped some of the world’s leading Payments, Financial Services, Telecommunications, Media, Technology, Consumer Products, Retail, Mobility, and Healthcare companies accelerate their ability to take advantage of new business models and market opportunities. By leveraging next-generation technologies, our agile, multi-disciplinary teams provide a combination of Product & Technology Strategies, Intelligent Experiences...

Data Scientist | Endava
  • Work place: Hybrid

  • Collaboration: Employment contract

  • Work time: Full Time

  • Seniority: VP / CXO

  • Experience: > 6 years

  • Updated on: 1 year ago

  • Vacant from: 16 Sep, 21

  • Expired on: 16 Aug, 23

  • Pay: Negotiable

  • Categories: Backend, Fullstack, Data science, Agile, Machine Learning, Data Engineering, Artificial Intelligence

  • Size:> 500 employees

  • Industry:Computer Software

Market (net €/month)
  • Only Loginro members with a minimum completed profile that share their salary expectations for this position may access its industry median pay.

  • 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.


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.

Needed Skills

Business Intelligence





Risk Management




Available in


Benefits included

Meal tickets

Medical subscription

Medical benefits for family

Additional vacation days

Learning budget

Work from home

Flex time (07:00 - 19:00)

Gym & sport subscriptions

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