Data Scientist (Entry Level / Junior)

Role Overview

Our client is seeking a Data Scientist to apply advanced analytics, predictive modeling, and machine learning to claims datasets to deliver actionable, data-driven insights. The Data Scientist will oversee the full project lifecycle from ideation and requirements elicitation to solution design, implementation, and deployment while serving as an advocate for data science to empower commercial teams and drive strategic brand growth.

Key Responsibilities

• Implement predictive modeling, machine learning, and deep learning algorithms on claims datasets.
• Scale algorithms from proof-of-concept to production systems.
• Shape business challenges into analytical, data-led solutions.
• Scope data opportunities and create actionable recommendations to drive strategic growth across global business units.
• Develop a deep understanding of data sources, sampling requirements, and descriptive statistics.
• Build intuitive visualizations to translate complex datasets for non-technical leadership.
• Work across global regions and BU stakeholders to evaluate commercial opportunities, support ad-hoc projects, and promote data science integration.

Qualifications

• BA/BS degree in Statistics, Research, Computer Science, or another quantitative discipline.

Experience & Technical Expertise

• Minimum 1+ years of hands-on experience in predictive modeling and data mining techniques/implementation.
• Programming language proficiency (e.g., Python, R, SQL, C++, etc.).
• Expert proficiency in Microsoft Office (Word, Excel, PowerPoint, Outlook).
• Track record of innovation using machine learning and statistical algorithms.
• Experience in biotech/pharmaceuticals, direct claims data analysis, and deep learning techniques strongly preferred.

Competencies & Soft Skills

• Proven ability to manage multiple projects in a fast-paced, ambiguous environment with shifting priorities.
• Strong problem-solving skills and ability to translate complex data into actionable strategy.
• Excellent written and verbal communication skills with a track record of effective cross-functional collaboration.