Avenga

Senior Data Science Engineer

Avenga Sofia, Sofia-City, Bulgaria

IT Services and IT Consulting · 5,001-10,000 employees

16 h ago
Remote Senior (5-10 yrs) Full-time Bulgaria
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About the role

Develop and implement machine learning and advanced analytics models using Python, PySpark, and SQL to generate actionable insights. Collaborate with engineering teams to operationalize analytical solutions on cloud platforms while ensuring model performance and explainability.

What they look for

Python PySpark SQL Machine learning Statistical modeling Data analysis Data engineering Model validation Model monitoring SHAP Databricks Azure Financial services AML/KYC Stakeholder engagement Communication

Requirements

Requires 7+ years of experience in data science, machine learning, or advanced analytics with strong programming skills in Python and SQL. Candidates should have experience with large-scale datasets, cloud-based platforms like Databricks or Azure, and knowledge of regulated environments.

Benefits

Equal opportunities Career development Remote work

Full description

This is us

At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development.

This is the job

In Bulgaria we are actively seeking a Senior Data Science Engineer to strengthen our team.

Note: The position is remote, the type of contract is fixed labor contract(for the duration of the particular project) afterwards it can be extended to a regular permanent employment.

This is you

  • 7+ years of experience in data science, machine learning or advanced analytics
  • Strong experience with (un)supervised learning, statistical modeling and data analysis
  • Experience working with large-scale transactional or behavioral datasets
  • Strong programming skills in Python (including PySpark & ML libraries) and SQL
  • Experience with model validation, monitoring, and explainability techniques (e.g. SHAP)
  • Understanding of data engineering concepts and collaboration with engineering teams
  • Familiarity with regulated environments (e.g. financial services, AML/KYC) is a strong advantage
  • Experience with cloud-based data platforms (e.g. Databricks, Azure)
  • Ability to translate complex analytics into business-relevant insights
  • Strong communication and stakeholder engagement skills
  • Fluent in English; other European languages are an advantage

This is your role

  • Developing and implementing machine learning and advanced analytics models using Python, PySpark, and SQL.
  • Applying supervised and unsupervised learning and statistical modeling techniques to large-scale transactional and behavioral datasets.
  • Performing data analysis, feature engineering, and model evaluation to identify patterns and generate actionable insights.
  • Validating, monitoring, and improving model performance, including applying model explainability techniques such as SHAP.
  • Working with cloud-based data platforms, including Databricks and Azure, to develop and operationalize analytical solutions.
  • Collaborating with data engineers and software engineering teams to ensure scalable and reliable data and ML solutions.
  • Translating complex analytical results into clear, business-relevant insights and recommendations.
  • Supporting analytics initiatives in regulated environments, including financial services and AML/KYC use cases.
  • Communicating findings and recommendations to business stakeholders and technical teams.

What awaits you at Avenga?

At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.