Data Science Intern - Client Development Analytics - July 2025-26 Placement Year

We are seeking a motivated Data Analyst / Client Development Analytics (CDA) Intern to join our Customer Analytics Product team. This is an exciting opportunity to work with a dynamic team that focuses on leveraging customer data to drive insights and improve client engagement strategies. You will gain hands-on experience in data analysis, customer segmentation and performance measurement while contributing to meaningful projects that influence how we engage with our clients across their lifecycle.

Key Responsibilities:

• Data Analysis and Reporting: Assist in analysing customer behaviour, trends and engagement patterns to uncover actionable insights.
• Lead Prioritisation Support: Help identify and prioritise high-quality leads using data-driven methodologies, ensuring alignment with business objectives.
• Campaign Performance Measurement: Support the team in evaluating the effectiveness of outreach and marketing campaigns, identifying areas for optimisation.
• Customer Segmentation: Contribute to developing and refining customer segmentation models to enhance targeting strategies.
• Collaboration: Work closely with stakeholders across sales, marketing and product teams to support data-driven decision-making.
• Dashboard Creation: Assist in building and maintaining dashboards and reports to visualise key metrics and performance indicators.
• Ad-hoc Projects: Participate in special projects and initiatives as needed, contributing to the overall goal of the CDA Pod.

Who We’re Looking For:

• Currently pursuing a degree in Data Science, Business Analytics, Economics, Statistics, Mathematics, Physics, Computer Science or related field.
• Strong analytical skills with a passion for solving complex problems using data.
• Strong theoretical knowledge of statistics techniques and the application e.g. probability, regression, logistic regression, parametric and non-parametric tests, ANOVA, chi-square.
• Proficiency in analytical tools such as SQL, Python (Numpy, SciPy, Pandas and scikit-learn) or R, and experience with data visualisation tools like Tableau or Looker.
• Data cleaning, manipulation and preparation for data analysis.
• Familiarity with machine learning techniques supervised (e.g. Random forest, Xgboost, KNN) and unsupervised (e.g. clustering) and dimensionality reduction (e.g. PCA).
• Detail-oriented with the ability to manage multiple tasks and meet deadlines.
• Strong communication skills, both written and verbal with the ability to present findings clearly.
• Team player with a proactive attitude and a willingness to learn.

What You’ll Gain:

• Hands-on experience with real-world data projects in a leading global financial services firm.
• Exposure to advanced analytics techniques and tools.
• Mentorship and guidance from experienced data professionals.
• Opportunities to collaborate with cross-functional teams and gain insights into the broader customer engagement strategy.
• A chance to contribute to high-impact projects that influence business outcomes.

Nice to have:

• Familiarity with CRM systems.
• Familiarity with relational and non-relational databases.
• Experience with cloud environments GCP, AWS or Azure.
• Knowledge of time-series analysis.
• Knowledge of Commodity and Financial Derivatives Markets, especially in futures and options would be a plus.

CME Group is the world’s leading and most diverse derivatives marketplace. Here, you can impact markets worldwide, transform industries, and build a career by shaping tomorrow. We invest in your success and you own it - all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we’re looking for more. At CME Group, we embrace our employees’ diverse experiences, cultures and skills, and work to ensure that everyone’s perspectives are acknowledged and valued. As an equal opportunity employer, we recognise the importance of a diverse and inclusive workplace and consider all potential employees without regard to any protected characteristic.

Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process.

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