Join Us as a Data Analysis Coordinator
Job Purpose
We are seeking a highly skilled professional with a strong quantitative background, advanced technical expertise in Data Science, and exceptional analytical abilities. This role involves leading the team technically while actively engaging in execution. The position combines close coordination, leading by example, and transforming data into strategic business decisions.
We value collaboration, critical thinking, a continuous desire to learn, and the ability to communicate clearly and persuasively with stakeholders. You will bridge technical depth with real business impact.
As part of our team, you will contribute to meaningful work that benefits both people and the planet. Here, we hire not just for positions but invite you to be part of something greater.
Key Responsibilities
- Serve as the technical reference for the Data Science team, ensuring quality, consistency, and best practices in deliverables.
- Coordinate team demands, priorities, and allocations, ensuring deadlines are met and aligned with business objectives.
- Lead and facilitate technical meetings with stakeholders, presenting results, decisions, and recommendations in a clear and structured manner.
- Support professional development through technical mentoring, continuous feedback, and performance monitoring.
- Transform data into strategic insights and analytical products, maintaining a customer-centric and business-focused perspective.
- Develop and review Machine Learning models, statistical models, and solutions based on LLMs for forecasting, classification, and behavioral analysis.
- Provide technical support to the team in solving complex problems and making critical analytical decisions.
- Collaborate closely with business areas to understand challenges, translate needs into analytical solutions, and influence data-driven decisions.
Required Experience and Qualifications
- Bachelor’s degree in Statistics, Mathematics, Engineering, or related fields.
- A minimum of 5 years of experience in Data Science, with a background in complex projects.
- Proficiency in Python and/or R, modeling libraries, and SQL.
- Experience with Databricks and handling large data volumes.
- Proficiency in creating dashboards using Power BI.
- Practical knowledge of Data Science techniques, including:
- Regression, classification, clustering, and LLMs
- Time series analysis
- A/B testing and experimentation
Preferred Experience and Qualifications
- Conversational English proficiency.
- Experience with AI agent automation.
- Previous experience in technical leadership, mentoring, or team coordination.
Inclusion at Unilever
At Unilever, inclusion is at the heart of everything we do. We welcome applications from all backgrounds and are committed to creating an environment where everyone can thrive. All candidates will receive fair and respectful consideration, and we actively support the growth and development of each employee.
Unilever is committed to equity, inclusion, and diversity to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe that a diverse workforce enables us to achieve our growth ambitions and foster inclusion across the business. We encourage every individual to bring their ‘Whole Self’ to work, including you! If you require any support or have specific access needs, please let us know during your application process so we can assist you throughout your recruitment journey.
