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PL_BDS_CYS_Senior Software Engineer

Publish Date:  Jan 2, 2021

Bydgoszcz, Bydgoszcz, PL

Company:  Atos

About Atos

Atos is a global leader in digital transformation with 110,000 employees in 73 countries and annual revenue of € 12 billion. European number one in Cloud, Cybersecurity and High-Performance Computing, the Group provides end-to-end Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace solutions. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and operates under the brands Atos, Atos|Syntel, and Unify. Atos is a SE (Societas Europaea), listed on the CAC40 Paris stock index.

The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.





The cyber data engineers and data scientists play an essential role in the new Security Operations Centers by developing and continuously improving this toolset making it more and more efficient in the mission that it has been designed for – detecting and rapidly responding to security threats. We’re looking for Junior, Regular and Senior Data Scientists, that will work on a development of new Security and UEBA use cases for our Customers or join the Digital Twin project, to work on Industry 4.0 trends.


The data scientists will apply their expertise in many areas:

  • Data engineers need to integrate data from many systems and continue to develop new data models and algorithms.
  • Depends on a project, they need to create custom detection scenarios specific to businesses or work on Digital Twin concepts.
  • They need to apply governance on the models created.
  • They have to communicate with cyber analysts or manufacturing domain leaders (non-data scientist) to discuss the alerts and metrics.
  • Depending on the function of the Analytics tool, they need to understand which data sets are needed to ingest to/train the tool. They will have to search for such data sets and sometimes generate them, such as behavioral records of malware from a sandbox or patterns of malformed queries.


Required Experience, Skills and Abilities

  • Bachelor’s degree in mathematics, statistics or computer science or related field
  • Solid knowledge of statistical techniques.
  • Skills of pattern detection over potentially large datasets.
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, and optimization algorithms.
  • Solid programming skills (Scala, Spark, Python, Hadoop MapReduce), and statistical modeling (like SAS or R).
  • Experience using machine learning algorithms will be additional pros.
  • Strong communication and interpersonal skills.
  • At least basic Cyber Security knowledge.
  • Focus on a project and teamwork.
  • English language on B2 level.


We offer:

  • stable employment,
  • attractive salary,
  • participation in interesting projects,
  • working in international environment,
  • contacting with the latest IT technology,
  • training and development programs,
  • studying of foreign languages,
  • unlimited access to e-learning,
  • private medical care (including dental care),
  • additional life insurance,
  • subsidy for commuting,
  • Medicover Benefit System (e.g. Multisport).

Here at Atos, we want all of our employees to feel valued, appreciated, and free to be who they are at work. Our employee lifecycle processes are designed to prevent discrimination against our people regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes them unique. Across the globe, we have created a variety of programs to embed our Atos culture of inclusivity, and work hard to ensure that all of our employees have an equal opportunity to contribute and feel that they are exactly where they belong.