Senior Data Scientist

Svitla Systems Inc. is looking for a Senior Data Scientist for a full-time position (40 hours per week) in Europe. Our client is a health insurance company that uses advanced technology to better serve its members. They focus on making health insurance easier through telemedicine, user-friendly technology, and clear claim pricing. This approach helps patients navigate their healthcare more easily. 

The Senior Data Scientist for Advanced Risk Modeling will serve as a senior individual contributor, focusing on applying advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. You will build and deploy sophisticated models to solve complex business problems, specifically in the risk adjustment domain. You will report to the Director of Data. 

The project also involves a general on-call rotation lasting a week, which occurs every 5-6 weeks for each team member. Most pages occur during working hours. There could be a few off-hours pages that can be worked on the next working day, with one page per off-hours rotation requiring attention, usually via Slack messages. 

Requirements:

• 4+ years of experience in industry or other quantitative technical fields (it may include academic learning).

• 3+ years of experience working with SQL, R, and/or Python to query, manipulate, and analyze data.

• 3+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing.

• Advanced degree in a quantitative or technical field.

• Experience in the healthcare, finance, and/or insurance industries.

• Understanding the deployment and maintenance of models using ML Ops platforms.

• Practical knowledge of NLP and Large Language Models.

• Understanding of production ML systems.

  
  

Responsibilities:

• Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors.

• Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain.

• Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models.

• Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems.

• Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment.

• Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems.

  
  

We offer:

• US and EU projects based on advanced technologies.

• Competitive compensation based on skills and experience.

• Regular performance appraisals to support your growth.

• Flexibility in workspace, either remote or our welcoming office.

• Bonuses for article writing, public talks, and other activities.

• Generous time off, including vacation, national holidays, sick leaves, and family days.

• Personalized learning programs tailored to your interests and skill development.

• Free tech webinars and meetups organized by Svitla.

• Regular corporate online activities.

• Awesome team and a friendly, supportive community!