Data Science / Analytics Intern - Technology Solutions

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 complex datasets
• Ability to communicate insights clearly and effectively
• Attention to detail and commitment to high-quality outputs
• Collaborative mindset with the ability to work in a team environment

At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.

Salary Range:

The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role.

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Required

Preferred

Job Industries

• Other