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Senior Data Science Engineer

Role overview

Qualifications

  • 7+ years of experience in data science, machine learning or advanced analytics
  • Strong experience with (un)supervised learning, statistical modeling and data analysis
  • Strong programming skills in Python (including PySpark ML libraries) and SQL
  • Experience with model validation, monitoring, and explainability techniques (e.g. SHAP)

Responsibilities

  • 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
  • Collaborating with data engineers and software engineering teams to ensure scalable and reliable data and ML solutions

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration

About the company

Qinshift logo

Qinshift

IT Services & IT Consulting

Qinshift is a global technology company with a strong European presence, aiming to solve business problems for forward-leaning companies worldwide. Our team of over 3000 genuine tech experts builds and designs software and delivers end-to-end enterprise solutions, visionary UX and UI design, reliable managed services, and innovative product development offerings. Our company also provides cutting-edge tech consultancy services. We cater to a diverse clientele, including large telecom and satellite operators, financial and banking institutions, manufacturing and automotive companies, as well as mobility and health organizations, supporting their digital transformation journey. With an ever-present human perspective, we focus on adding real value and innovative solutions to shape long-term relationships with our customers. Our delivery model is designed to ensure a seamless, multi-location delivery of solutions, even for the most challenging projects. Qinshift is part of the KKCG Technology pillar.

Company details

Company typeLarge
IndustryIT Services & IT Consulting
Company size1001 - 5000

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Job description

This is usAt 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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