Senior Data Scientist

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November 7

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Axiom Software Solutions Limited

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IT Services • Software Development • Consulting

Axiom Software Solutions Limited is a global information technology, consulting, and outsourcing company headquartered in London, UK, with offices in Noida, India. With over 20 years of IT experience, Axiom specializes in delivering digital solutions, technology consulting, and recruitment services across various industries including Banking & Financials, Healthcare, and Media & Telecom. Their expertise includes a wide range of technologies such as SAP, Oracle, Salesforce, and AWS, providing clients with tailored IT solutions to enhance operational efficiency and achieve business goals. Axiom prides itself on its ability to deliver cost-effective, adaptable solutions and has a significant track record of success with a wide professional network and talent pool to support diverse global needs.

201 - 500 employees

📋 Description

• Designing and implementing analytical frameworks. • Healthcare and commercial biopharma data sources such as claims data, HCP interaction logs, and prescription data. • Developing predictive and prescriptive models. • Lead the design and execution of advanced machine learning and causal inference models to measure and optimize omnichannel engagement strategies. • Experience applying causal inference techniques (e.g., causal impact analysis, uplift modeling, DoWhy) to marketing and engagement analytics. • Exercise independent judgment in methods, techniques, and evaluation criteria on data science projects, overseeing the end-to-end process from problem definition to model implementation. • Proficiency with programming languages like Python, R, and SQL. • Strong background in predictive modeling, classification, segmentation, and optimization. • Extensively worked in Azure Cloud environment.

🎯 Requirements

• Designing and implementing analytical frameworks. • Healthcare and commercial biopharma data sources such as claims data, HCP interaction logs, and prescription data. • Developing predictive and prescriptive models. • Lead the design and execution of advanced machine learning and causal inference models to measure and optimize omnichannel engagement strategies. • Experience applying causal inference techniques (e.g., causal impact analysis, uplift modeling, DoWhy) to marketing and engagement analytics. • Exercise independent judgment in methods, techniques, and evaluation criteria on data science projects, overseeing the end-to-end process from problem definition to model implementation. • Proficiency with programming languages like Python, R, and SQL. • Strong background in predictive modeling, classification, segmentation, and optimization. • Extensively worked in Azure Cloud environment.