Job Description

Who we are:

Burson, part of WPP, is the global communications leader built to create value for clients through reputation. With highly specialized teams, industry-leading technologies and breakthrough creative, we help brands and businesses redefine reputation as a competitive advantage so they can lead today and into the future. When you work at Burson, you are part of a global community of lifelong learners who thrive at the edge of innovation. WPP (LSE/NYSE: WPP) is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com For more information visit bursonglobal.com and follow us on LinkedIn and Instagram. More about the role:

We are seeking a hands-on

Analyst, Data Science

to join Burson’s

Insights & Intelligence (I&I)

team. The I&I team sits at the heart of Burson’s work, turning data into strategic insights that drive storytelling, campaign performance, and business outcomes. With an expanding client roster and growing scopes of work, our best-in-class team supports some of the world’s most recognizable global brands, including The Coca-Cola Company, Verizon, and Google. This is a great opportunity for someone early in their data science career who is excited to apply technical and analytical skills to real-world business, marketing, and communications challenges. Working alongside data scientists, analysts, engineers, and strategists, you’ll support data science, dashboarding, and AI-driven initiatives that turn complex data into clear, actionable insights. The ideal candidate has

1–2 years of relevant experience

and a strong foundation in Python, SQL, statistics, and data analysis. We’re looking for someone who is intellectually curious, comfortable working with complex datasets, and eager to continue developing their technical and client-facing skills. What you'll do:

Support the end-to-end delivery of data science and analytics projects, including data preparation, analysis, modeling, visualization, and documentation Assist with the development, testing, and refinement of predictive models, including time-series, forecasting, and machine learning solutions Write and maintain code in

Python, SQL, and/or R

to clean, transform, analyze, and model data Conduct exploratory data analysis to identify patterns, trends, anomalies, risks, and opportunities Support the development and maintenance of scalable data pipelines and ETL/ELT processes Work with structured and unstructured data from APIs, cloud platforms, databases, and other sources Integrate analytical and predictive outputs into client-ready dashboards, reports, and tools Build and maintain dashboards and data visualizations using platforms such as

Power BI, Tableau, or Looker Assist with evaluating model performance, data quality, and the accuracy of analytical outputs Translate technical findings into clear business insights and recommendations for non-technical audiences Support client meetings and presentations by preparing analyses, visualizations, and key takeaways Conduct ad hoc analyses to answer specific client and business questions Document methodologies, code, models, and project deliverables Participate in code reviews and follow established standards and best practices Support the responsible and effective use of AI across analytics workflows Collaborate with data scientists, analysts, engineers, and strategists across multiple projects Experience that contributes to success:

1–2 years of experience

in data science, data analytics, data engineering, business intelligence, or a related field, including relevant internship or professional experience Bachelor’s degree in

Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering , or another quantitative discipline, or equivalent relevant experience Hands-on experience using

Python and SQL

for data manipulation, analysis, and modeling Familiarity with Python data science libraries such as

pandas, NumPy, and scikit-learn Foundational understanding of predictive modeling, statistical analysis, machine learning, and forecasting Exposure to analytical techniques such as regression, classification, clustering, optimization, or time-series analysis Experience with dashboarding and data visualization tools such as

Tableau, Power BI, or Looker Familiarity with ETL/ELT processes, APIs, relational databases, and data pipelines Exposure to cloud data platforms such as

AWS or Redshift

is a plus Foundational understanding of data modeling concepts, including star and snowflake schemas Strong analytical and problem-solving skills with close attention to detail Ability to communicate technical concepts and analytical findings clearly to non-technical audiences Ability to manage priorities and contribute across multiple projects in a collaborative environment Experience in

PR, communications, advertising, marketing analytics, or another client-service environment

is a plus Curiosity and a strong desire to continue developing technical, business, and client-facing skills Commitment to using data and AI thoughtfully, responsibly, and effectively #LI-FB1 Burson is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package; click here for more details: The base salary for this position at the time of this posting may range between: $35,000—$75,000 USD You belong at Burson:

Our vision is for Burson to be the leading ‘academy company’ for creative communications professionals and emerging leaders. We provide a dynamic environment where ambitious colleagues come to elevate their skills, expand their networks, and ultimately, produce the best solutions for today’s leading brands. Our commitment to your growth is reflected in our robust benefits and people programs, which include professional development opportunities, mentorship programs with industry leaders, a vibrant and inclusive company culture fostering collaboration and innovation and packages designed to reward and retain top talent. We invest in our people because we believe their success is our success. At Burson, we’re an agency of learn-it-alls. We recognize that the things we do best, creativity and communications, require a level of nuanced understanding. That’s why it’s imperative for us to hire extraordinarily talented people of all backgrounds and identities. Without that we can’t do the essential work of inspiring bold ideas, fostering constructive dialogue, cultivating meaningful experiences, and driving innovation and creativity for our partners. Your unique point of view—your talent—is what makes you a #BursonPerson, and it’s how we deliver exceptional results for our clients, together. We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. When you click the "Submit Application" button below, this will send any information you add below to Burson. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

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