IGT1 Lanka is a rapidly growing offshore technology and talent solutions company based in Port City Colombo. We are a fully owned subsidiary of IGT I Holdings Sweden AB, funded by the three of world’s leading private equity firms; EQT Group, Hg, and TA Associates. We’re also proud to be a sister company of IFS, Sri Lanka’s largest and most established technology company.
At IGT1 Lanka, we partner with global businesses to scale operations, accelerate innovation, and build world-class SaaS platforms through high-quality offshore delivery. Our people-first culture champions diversity, teamwork, and continuous learning, creating an environment where talent thrives.
With a team of over 300 professionals and counting, we are always looking for passionate, skilled individuals who want to make a global impact while being part of something extraordinary.
Through our offshore collaboration model, you'll be embedded within the team of one of our esteemed international clients, contributing directly to high-impact, enterprise-level initiatives.
About Rhapsody:
Rhapsody Health is at the forefront of revolutionizing healthcare with cutting-edge technology that drives meaningful change. Our platform empowers healthcare providers and patients to enhance care delivery and streamline processes, making a tangible impact on the healthcare landscape. As a B Corporation, we are deeply committed to balancing purpose with profitability, and our global team spans countries including Canada, Spain, Switzerland, the United Kingdom, the United States, New Zealand and Sri Lanka.
Job DescriptionAbout the Role
Rhapsody is expanding its AI and data science capabilities to support experimentation, predictive modeling, system evaluation, and insight generation across our product ecosystem. As part of this work, we’re hiring a Data Scientist to contribute to high-impact initiatives ranging from ML based patient matching to forecasting and churn modeling and GenAI evaluation.
You’ll work closely with AI and engineering teammates to support model evaluation, build predictive solutions, and drive insights that improve both internal decision-making and AI system performance. This role offers the opportunity to work across a range of data science projects from improving patient-matching logic to analyzing GenAI behavior and to help expand the role of data science across the company.
Key Responsibilities
- Contribute to the development and evaluation of the patient matching system, including analysis of existing logic, feature design, model exploration, and improvements to performance and quality
- Build and evaluate predictive models for use cases such as churn, revenue forecasting, and risk scoring
- Collaborate on model evaluation pipelines for both structured ML and GenAI workflows
- Analyze AI system behavior through performance metrics, user interaction logs, and failure pattern discovery
- Analyze system behavior, uncover patterns in data, and identify opportunities where data science or ML techniques can improve existing workflows or decision logic—even when the path isn't strictly model-driven
- Develop dashboards, reports, or datasets that inform AI, product, or business teams
- Learn and apply best practices in testing, validation, and explainability for ML and AI-driven systems
Required:
- Experience in data science, ML, or applied analytics
- Strong Python skills (e.g., pandas, NumPy, matplotlib, scikit-learn)
- Familiarity with SQL and Strong data analysis skills, with experience exploring, interpreting, and extracting insights from complex datasets
- Experience working with structured data and building basic models (classification, regression, etc.)
- Curiosity about AI/ML systems and a willingness to learn quickly through real-world application
Preferred:
- Exposure to evaluating or experimenting with neural networks
- Familiarity with model evaluation techniques (e.g., precision/recall, ROC, drift detection)
- Interest in or exposure to GenAI workflows (e.g., prompt evaluation, embedding inspection)
- Experience using tools like Jupyter, MLflow, Airflow, or analytics platforms
Education:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field (or equivalent experience)
Core Competencies
- Analytical Thinking: Comfortable with structured data analysis and problem decomposition
- Data Exploration: Able to clean, transform, and derive insights from messy real-world data
- Model Literacy: Understands basic modeling workflows and how to evaluate results thoughtfully
- Collaboration: Works well with engineers and PMs to support cross-functional AI efforts
- Growth Mindset: Brings curiosity, humility, and energy to learning new methods and tools
We believe that coming together as a community, in person, is important for innovation, connection and fostering a sense of belonging. Our roles have the right balance of remote and in-office working to enable flexibility for managing your life along with ensuring a real connection with your colleagues and the broader IFS community. #Li-Hybrid
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