Job Description
We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.
The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.
Responsibilities
- Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
- Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
- Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
- Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
- Collaborate with global and cross-functional teams to design and implement optimized data solutions.
- Develop scalable tools such as solution workbenches and automated reporting systems.
- Scope, prioritize, and independently handle client requests with minimal supervision.
- Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
- Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
- Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.
Qualifications
- Bachelors or Masters degree in computer science, Statistics, Data Science, or a related quantitative field.
- 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL and Python.
- Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets is mandatory.
- Strong programming skills in Python, including data manipulation, wrangling, and analysis using libraries such as pandas, NumPy, and scikit-learn.
- Advanced proficiency in SQL for working with large, complex relational datasets.
- Comfortable working with large-scale data and able to assess existing processes to identify opportunities for improvement.
- Sound knowledge of statistics, data modeling, and predictive analytics.
- Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical findings.
- Strong interpersonal, communication, and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.
- Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic environment.
ISMS Responsibilities
- Comply with information security policies and processes
- Report security weaknesses, events or potential events, or other security risks, to the organization
- Execute all tasks related to information security management system as appropriate