Data Scientist (GMU MSU)

As a Junior Data Scientist within the Global Modelling Unit Market Strategy and Understanding (GMU MSU) team at Ipsos you will be at the heart of building intelligent data-driven solutions that power global research decisions. You will design and deliver end-to-end data science pipelines - from raw data ingestion to machine learning models and AI-assisted insight generation - helping our clients understand consumer behaviour and market trends.

You will be joining a highly collaborative team made up of Data Scientists Statisticians and Cloud Engineers based across the globe (Malaysia UK Poland & Czechia). Day-to-day you will work with both standard and complex survey datasets applying machine learning NLP and AI techniques to extract meaningful patterns and build scalable solutions.

This is a fantastic opportunity to grow your career at the intersection of data science and market research - applying cutting-edge Python ML and LLM skills to real-world commercial challenges alongside a diverse global team of experts.

Note: This role is primarily internally focused with minimal external client contact.

• Build. support and deploy data science solutions - including ML models segmentation pipelines and AI-powered analytics that drive actionable insights for global research teams.

• Collaborate seamlessly with our international cross-functional team to translate complex research questions into scalable data-driven products.

• Continuously develop your data science skillset across Python R machine learning NLP and modern AI - contributing to a culture of innovation and knowledge sharing.

• Data Science & Modelling:Design and execute end-to-end data science and advanced analytics projects including machine learning-based customer segmentation and predictive modelling to uncover actionable insights from complex datasets.

• AI & LLM Integration:Leverage our scalable developed AI pipelines and Large Language Models (LLMs) that process unstructured text automate insight extraction and enhance overall research quality.

• Python Development:Write clean efficient modular and well-structured Python code (e.g. Pandas NumPy Scikit-learn) to build robust data pipelines models and analytical tools.

• Data Manipulation:Receive and transform raw datasets primarily in SPSS and Excel formats from data processing teams into well-structured inputs ready for modelling and advanced analysis.

• Database Management:Utilise SQL to query extract and manipulate data from relational databases to support modelling and reporting workflows.

• Operational Delivery:Take independent ownership of assigned data science deliverables end-to-end ensuring accuracy reproducibility and timely outputs for the research teams.

• Global Collaboration:Participate in team meetings and knowledge-sharing sessions managing your time effectively across different time zones.

Essential Skills

• Bachelors or Masters degree in Data Science Statistics Mathematics Data Analytics Computer Science or a related quantitative field.

• 02 years of experience in a Data Science Analytics or related role (relevant internships or academic research projects are welcomed).

• Machine Learning & Modelling: Foundational knowledge of ML concepts including clustering classification and regression with the ability to apply them to real-world datasets.

• Python Programming: Strong hands-on skills in Python for data manipulation analysis and modelling (e.g. Pandas NumPy Scikit-learn).

• NLP & Text Analytics: Working knowledge of text analytics and NLP concepts; experience applying them to unstructured data is a plus.

• Data Engineering: Good understanding of SQL for querying and setting up databases alongside hands-on experience with SPSS and Excel data structures/formats.

• Statistical Foundations: Comfortable applying core statistical methods (e.g. significance testing correlation) as supporting tools within broader data science workflows.

• Work Ethic: Accountable resourceful and proactive with a strong commitment to meeting deadlines and overcoming operational obstacles.

• Communication: Excellent written and verbal communication skills with the ability to work effectively in a distributed international team environment.

• Professional working proficiency in English.

Desirable Skills (A Plus)

• Applied AI & LLMs: Experience with or a strong interest in Large Language Models (e.g. OpenAI GPT Claude) and prompt engineering techniques to enhance analytics workflows within our existing pipelines.

• Cloud Experience: Hands-on experience or familiarity with Google Cloud Platform (GCP) is a strong advantage.

• Deep Learning / Advanced NLP: Exposure to transformer-based models embeddings or fine-tuning pre-trained models for downstream tasks.