Data Scientist

@ AstraZeneca

Introduction

As a Data Scientist at AstraZeneca, you will dive into commercial analytics and make a real impact. You will partner with cross-functional teams to tackle business challenges using data-driven solutions.

Role and Responsibilities

Your mission is to design, develop, and deploy advanced AI and machine learning models using diverse healthcare datasets. Key accountabilities include:

• Collaborate with the Commercial Data Science team for business solutions.
• Design, develop, and deploy AI and machine learning models.
• Support large-scale projects using structured and unstructured data.
• Maintain scalable analytical models for recurring analyses.
• Analyze healthcare data to generate disease insights and support lead generation.
• Develop ML models to study patient healthcare journeys.
• Optimize and create new ML tools for improved processes.
• Apply predictive modeling to enhance customer experience and business outcomes.
• Work closely with Commercial teams and AI community on best practices.
• Support ad hoc analyses and production operations as needed.

Essential Skills and Experience

The ideal candidate will have:

• A BS/MS in a quantitative discipline such as Computer Science, Data Science, Engineering, Information Systems, or Economics.
• At least 4 years of experience in statistical and predictive modeling.
• Excellent communication skills to convey complex findings.
• Proficiency with Python, Dataiku, Databricks, Qlik, and Power BI.
• Expertise with statistical models including linear regression, clustering, random forest, time series, and neural networks.
• Experience working with healthcare data such as EHR, claims, and laboratory data.
• Strong technical knowledge in SQL, relational databases and large dataset querying.

Desirable Skills and Work Environment

Desirable competencies include data visualization and data manipulation skills, with domain experience in healthcare or biopharmaceutical industries. The role requires on-site presence at Manyata Tech Park, Bangalore, with a minimum of three office days per week, balanced with flexible arrangements.

Company Culture and Equal Opportunity

At AstraZeneca's Alexion division, diversity is valued. The company fosters an energizing culture where unique ideas thrive, ensuring that every individual can contribute and belong. Equal opportunity and accommodations are provided as needed.

Key skills/competency

• Data Science
• Machine Learning
• Statistical Modeling
• Predictive Analytics
• Healthcare Data
• Python
• SQL
• Data Visualization
• Commercial Analytics
• AI