Data Science / Analytics Intern – Technology Solutions

Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
 
Every day we perform better because of how we work together, as one team, each the best at what we do. We bring together talented experts across a broad spectrum of business critical corporate functions. Every role plays an essential part in enabling our customers to achieve their goals. Our teams are agile, collaborative, and committed to delivering—for each other, for our customers, and ultimately for the people who rely on the services we support.
Discover what your 25,000 future colleagues already know:
 
Why Syneos Health
• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life. 
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. 

Job Responsibilities

Job Title:

Data Science / Analytics Intern – Technology Solutions

Business Unit:

Technology & Data Solutions

Duration:

Summer Internship (10–12 weeks)

Job Summary

The Data Science / Analytics Intern will support the Technology & Data Solutions organization in delivering advanced analytics, data-driven insights, and innovative technology solutions that accelerate business impact.

This role offers hands-on experience across the data and analytics lifecycle, including data preparation, model development support, visualization, and insight generation. The intern will work closely with data scientists, engineers, and product teams to support real-world use cases that drive decision-making and operational efficiency.

Consistent with the function’s mission, this work contributes to delivering impactful, scalable technology and data solutions that enable better outcomes for internal stakeholders and customers. 

Key Responsibilities

• Support data science and analytics projects across the full lifecycle, including data gathering, cleaning, and exploratory analysis
• Assist in developing and testing predictive or descriptive models under the guidance of senior team members
• Analyze data sets to identify trends, patterns, and actionable insights
• Build dashboards and visualizations to communicate findings to technical and non-technical stakeholders
• Partner with cross-functional teams (engineering, product, business teams) to understand requirements and translate them into analytical approaches
• Contribute to documentation of data workflows, methodologies, and results
• Perform testing, validation, and quality checks on data and analytical outputs
• Present findings and recommendations to team members and leadership

(Aligned with existing expectations such as collaborating with development teams, analyzing results, and presenting findings to meet business needs) 

Qualifications

Education

• Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field

Technical Skills

• Exposure to programming languages such as Python or R
• Foundational knowledge of SQL and data querying
• Familiarity with data analysis libraries (e.g., pandas, NumPy) or visualization tools (e.g., Power BI, Tableau)
• Understanding of statistical concepts and basic machine learning techniques preferred

Core Competencies

• Strong analytical and problem-solving skills
• Curiosity and a desire to work with