Senior Data Scientist New Bengaluru, Karnataka, India

Definitive Healthcare Corp.; India; Vor Ort; INR 1.500.000 - 2.500.000; Vollzeit

Zusammenfassung

Analytical Wizards, part of the Definitive Healthcare family, seeks a Senior Data Scientist to drive high-impact analytics in healthcare, leveraging SQL and Python to build scalable data solutions. You will wrangle large datasets, generate actionable insights, and mentor analysts in a fast-paced, collaborative environment with Generative AI tools a plus.

The role emphasizes business context, cross-functional collaboration, and applying quantitative methods to improve decisions, with a strong

Qualifikationen

• Bachelor's or Master's degree in a quantitative field such as CS, Statistics or Data Science.
• 3–5 years of hands-on data science or analytics experience.
• Healthcare data experience, with familiarity in claims analytics; pharma datasets are a plus.
• Strong Python (pandas, NumPy, scikit-learn) skills.
• Advanced SQL proficiency for large datasets.

Aufgaben

• Lead and contribute to claims-based reporting and predictive modeling projects using SQL and Python.
• Wrangle, transform, and analyze complex healthcare datasets, focusing on the claims domain.
• Create data-driven deliverables and visualizations for customer engagements and decisions.
• Collaborate with Product and Customer Success to deliver insights to clients.
• Design and implement scalable data solutions and automation in analytics workflows.
• Mentor junior analysts and promote coding best practices.

Kenntnisse

SQL

Python

Data wrangling

Statistics

Communication

Ausbildung

Bachelor's or Master's in CS/Statistics/Data Science

Tools

Pandas

NumPy

scikit-learn

Jobbeschreibung

Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we’d love to hear from you.

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

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement