Junior Data Scientist: Hybrid, Learn & Build ML Pipelines

MSD; Rahway (NJ); Hybrid; GBP 32,000 - 52,000; Full time

Benefits offered by this job

Hybrid work model

Laptop and iPhone provided

Competitive salary

Job summary

Merck & Co., Inc. is seeking a Junior Data Scientist to support data science initiatives across R&D, manufacturing, and commercial divisions. You will collaborate with data scientists and AI engineers to build impactful DS/AI products and learn through a supportive community.

The role involves developing DS/ML models, writing maintainable code, and communicating findings to stakeholders. A university degree and hands-on ML experience are required, with a hybrid work model and global team

Qualifications

• University Degree required.
• Experience building Data Science/ML models via university projects or internships.
• Strong coding skills in Python and/or R.

Responsibilities

• Work on Data Science, Econometrics, and ML projects under guidance of senior data scientists.
• Write efficient, maintainable code following software engineering practices.
• Communicate clearly with stakeholders and collaborate across teams.
• Understand business context behind decisions and automate analytics where appropriate.
• Develop features in DS/ML pipelines using Python/R and advanced techniques.
• Interpret outputs, propose options, and provide actionable recommendations.

Skills

Data Analysis

Data Mining

Data Science

Python

Machine Learning

Data Visualization

Data Engineering

Model Development

Database Design

Stakeholder Management

Deployment Strategies

Unstructured Data

Data Research

Education

University Degree

Tools

Databricks

Git

Jira

Job description

Merck & Co., Inc. is seeking a Junior Data Scientist to support data science initiatives across R&D, manufacturing, and commercial divisions. You will collaborate with data scientists and AI engineers to build impactful DS/AI products and learn through a supportive community.

The role involves developing DS/ML models, writing maintainable code, and communicating findings to stakeholders. A university degree and hands-on ML experience are required, with a hybrid work model and global team