Data Scientist Lisboa

Data Scientist
Lisboa
Lisboa, Lisboa, Portugal

Who are we:

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3, 600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.

We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.

With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.

Neotalent, the responsive people.

Find out more about us at www.neotalent. pt.

Role Overview:

We are looking for a Data Scientist to integrate our teams in into one of the largest insurance groups in the world, present in 64 countries. It’s a Hybrid Model.

What you will do:

• Modelling business requirements including data streams, integrations (schema API, CRUD API)
• Designing and apply reference data architectures in accordance with the requirements of the data management strategy
• Designing and apply blueprint for organizational data framework defined how data is obtained, stored, consumed, integrated, and managed in order to enrich the company's Data
  Lakes, MDU and Datamarts;
• Defining indicators inherent to Data
  Ops observability;
• Ensuring technical functionalities (e. g. scalability, security, performance, data recovery, reliability, etc. ).

What you are like:

• Experience in metadata management, data catalogs, data standards and master
  - ta management best practices;
• Knowledge of Machine Learning, algorithms and statistical models (such as classification, time series analysis, regression, …)
• Experience in Big
  Data Databases (one or more: Big
  Query, Azure Synapse, AWS Red
  Shift, Cassandra, Couchbase, HDFS);
• Knowledge of data governance and data security practices;
• Proficiency in English.

Why join us:

• Work on challenging projects for big clients
• Learn more about emerging technologies
• Possibility of working remotely
• Design your career plan
• Access to continuous training and certifications
• Evolve through our internal mobility program
• … and much more!