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Jobs / Evolution / Datu zinātnieks / Data Scientist (Risk and fraud detection/ML)
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Posted 2026-07-01

Datu zinātnieks / Data Scientist (Risk and fraud detection/ML)

Description

We’re looking for a talented Data Scientist to join our Data Science team, where you’ll design and develop machine learning solutions to enhance risk assessment and fraud detection. In this role, you’ll leverage data-driven insights to build robust models, collaborate with cross-functional teams, and deploy scalable solutions that drive real-world impact.

Responsibilities
  • Develop and optimize machine learning models for fraud detection and risk assessment.
  • Partner with business and technical stakeholders to identify the best ML approaches for real-world challenges.
  • Work closely with data engineers to source, preprocess, and structure high-quality datasets.
  • Define performance metrics and evaluation frameworks to measure model effectiveness.
  • Continuously train, test, monitor and refine models to ensure accuracy and scalability.
  • Collaborate with team members to deploy machine learning models to production environments.
  • Extend and optimize existing ML libraries and frameworks as needed.
Requirements
  • A university degree in a numerical field (Machine Learning, Statistics, Mathematics, Computer Science, Physics, Engineering, etc.) (required)
  • 4+ years of work experience in Data Science, Machine Learning or related field (required)
  • Strong expertise in ML techniques (supervised/unsupervised learning, deep learning, NLP, etc.) (required)
  • Solid foundation in linear algebra, statistics, and probabilistic modeling (required)
  • Fluent in Python, SQL, and Python ML libraries such as Scikit-Learn and PyTorch (required)
  • Excellent communication skills (fluent English) and a problem-solving mindset (required)
  • Passion for staying updated on the latest AI/ML trends and technologies (required)
  • Experience with Scala or Java (nice-to-have)
  • Familiarity with Big data processing frameworks such as Spark, Athena, ClickHouse (nice-to-have)
  • Experience with deploying ML solutions to production (nice-to-have)
  • Experience with AWS or other cloud providers (nice-to-have)
Benefits
  • Gross monthly salary from 3400 EUR to 6400 EUR.
  • A healthy mix of startup-like culture of the company, which enables us to try new approaches and technologies, and remain on the edge of technological development and enterprise, with stability and supporting functions to help you focus on your job.
  • Modern and developer-friendly delivery processes, including Agile (Scrum / Kanban), JIRA issue tracking, Confluence wiki, GitLab source control, Jenkins continuous integration and delivery, modern hardware and software for development (an IDE of your choice).
  • Being a part of an international team in a successful, publicly traded company.
  • Health insurance, contemporary office environment, development opportunities, hackathons, and other benefits and perks.
About Evolution

Evolution AB is a Swedish company and the world's leading developer and supplier of live casino solutions for online gaming operators. Founded in 2006 and headquartered in Stockholm, it produces live dealer games - including roulette, blackjack and a range of game shows - streamed from studios across Europe, the Americas and Asia. Through the acquisitions of NetEnt, Red Tiger, Big Time Gaming and others, the group is also a major online slots provider. Listed on Nasdaq Stockholm, Evolution employs more than 20,000 people worldwide.

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