Senior Data Scientist

Bengaluru, Karnataka · Bangalore · 3-5 years experience · Posted Oct 16, 2026

At a glance

Analytical Wizards is seeking a Senior Data Scientist to work on high-impact projects in the healthcare domain with a strong foundation in SQL/Python programming, data handling, and data wrangling.
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.

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.

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related quantitative field.
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.
Comply with information security policies and processes