Analyst, Data Science - Burson

<div class="content-intro"><h3><strong>Who we are:</strong></h3> <p>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.</p> <p>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 <a href="WPP.com">WPP.com</a> </p> <p>For more information visit <a href="https://www.bursonglobal.com/">bursonglobal.com</a> and follow us on <a href="https://www.linkedin.com/company/burson/posts/?feedView=all">LinkedIn</a> and <a href="https://www.instagram.com/burson.global/?hl=en">Instagram</a>.</p></div><h3><strong>More about the role:</strong></h3> <p>We are seeking a hands-on <strong>Analyst, Data Science</strong> to join Burson’s <strong>Insights & Intelligence (I&I)</strong> team.</p> <p>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.</p> <p>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.</p> <p>The ideal candidate has <strong>1–2 years of relevant experience</strong> 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.</p> <h3><strong>What you'll do:</strong></h3> <ul> <li>Support the end-to-end delivery of data science and analytics projects, including data preparation, analysis, modeling, visualization, and documentation</li> <li>Assist with the development, testing, and refinement of predictive models, including time-series, forecasting, and machine learning solutions</li> <li>Write and maintain code in <strong>Python, SQL, and/or R</strong> to clean, transform, analyze, and model data</li> <li>Conduct exploratory data analysis to identify patterns, trends, anomalies, risks, and opportunities</li> <li>Support the development and maintenance of scalable data pipelines and ETL/ELT processes</li> <li>Work with structured and unstructured data from APIs, cloud platforms, databases, and other sources</li> <li>Integrate analytical and predictive outputs into client-ready dashboards, reports, and tools</li> <li>Build and maintain dashboards and data visualizations using platforms such as <strong>Power BI, Tableau, or Looker</strong></li> <li>Assist with evaluating model performance, data quality, and the accuracy of analytical outputs</li> <li>Translate technical findings into clear business insights and recommendations for non-technical audiences</li> <li>Support client meetings and presentations by preparing analyses, visualizations, and key takeaways</li> <li>Conduct ad hoc analyses to answer specific client and business questions</li> <li>Document methodologies, code, models, and project deliverables</li> <li>Participate in code reviews and follow established standards and best practices</li> <li>Support the responsible and effective use of AI across analytics workflows</li> <li>Collaborate with data scientists, analysts, engineers, and strategists across multiple projects</li> </ul> <h3><strong>Experience that contributes to success:</strong></h3> <ul> <li><strong>1–2 years of experience</strong> in data science, data analytics, data engineering, business intelligence, or a related field, including relevant internship or professional experience</li> <li>Bachelor’s degree in <strong>Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering</strong>, or another quantitative discipline, or equivalent relevant experience</li> <li>Hands-on experience using <strong>Python and SQL</strong> for data manipulation, analysis, and modeling</li> <li>Familiarity with Python data science libraries such as <strong>pandas, NumPy, and scikit-learn</strong></li> <li>Foundational understanding of predictive modeling, statistical analysis, machine learning, and forecasting</li> <li>Exposure to analytical techniques such as regression, classification, clustering, optimization, or time-series analysis</li> <li>Experience