Data Scientist (GMU MSU)

Ipsos; Kuala Lumpur; On-site; MYR 60,000 - 90,000; Full time

Job summary

Ipsos in Malaysia seeks a Junior Data Scientist to design and deliver end‑to‑end data science pipelines, applying ML and NLP to extract insights from survey data. You’ll work with teams across Malaysia, the UK, Poland and Czechia to build scalable analytics products.

Ideal candidates have 0–2 years of experience, strong Python and SQL skills, and a passion for data‑driven decision making in a global research environment.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Data Analytics, Computer Science, or a related quantitative field.
• 0–2 years of experience in a Data Science, Analytics, or related role.
• Foundational knowledge of ML concepts and NLP; strong Python skills; SQL proficiency.
• Experience with SPSS and Excel data structures is a plus.

Responsibilities

• Design and deliver end‑to‑end data science pipelines from ingestion to modelling.
• Develop ML models, NLP solutions, and AI‑assisted analytics for global research teams.
• Collaborate with international team to translate questions into scalable data products.
• Write clean Python code and transform raw data (SPSS/Excel) into modelling inputs.
• Query data with SQL and manage time zones in team activities.

Education

Bachelor’s or Master’s degree in Data Science / Statistics / Mathematics

Tools

Python

SQL

SPSS

Excel

Pandas

NumPy

Scikit-learn

Job description

About the Role

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. Your responsibilities include designing and delivering end‑to‑end data science pipelines – from raw data ingestion to machine learning models and AI‑assisted insight generation – to help our clients understand consumer behaviour and market trends.

You will be joining a highly collaborative team of Data Scientists, Statisticians, and Cloud Engineers based across Malaysia, the UK, Poland and Czechia. 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 role is primarily internally focused with minimal external client contact.

Your Mission

• 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 skill set across Python, R, machine learning, NLP, and modern AI, contributing to a culture of innovation and knowledge sharing.

Key Responsibilities

• 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.
• Leverage scalable AI pipelines and Large Language Models (LLMs) that process unstructured text, automate insight extraction, and enhance overall research quality.
• Write clean, efficient, modular, and well‑structured Python code (e.g., Pandas, NumPy, Scikit‑learn) to build robust data pipelines, models, and analytical tools.
• 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.
• Utilise SQL to query, extract, and manipulate data from relational databases to support modelling and reporting workflows.
• Take independent ownership of assigned data‑science deliverables end‑to‑end, ensuring accuracy, reproducibility, and timely outputs for the research teams.
• Participate in team meetings and knowledge‑sharing sessions, managing time effectively across different time zones.

Essential Skills

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Data Analytics, Computer Science, or a related quantitative field.
• 0–2 years of experience in a Data Science, Analytics, or related role (relevant internships or academic research projects are welcomed).
• Foundational knowledge of machine‑learning concepts including clustering, classification, and regression, with the ability to apply them to real‑world datasets.
• Strong hands‑on skills in Python for data manipulation, analysis, and modelling (e.g., Pandas, NumPy, Scikit‑learn).
• Working knowledge of text analytics and NLP concepts; experience applying them to unstructured data is a plus.
• Good understanding of SQL for querying and setting up databases, alongside hands‑on experience with SPSS and Excel data structures/formats.
• Comfortable applying core statistical methods (e.g., significance testing, correlation) within broader data‑science workflows.
• Accountable, resourceful, and proactive, with a strong commitment to meeting deadlines and overcoming operational obstacles.
• 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)

• Experience with or a strong interest in Large Language Models (e.g., OpenAI GPT, Claude) and prompt‑engineering techniques to enhance analytics workflows within existing pipelines.
• Hands‑on experience or familiarity with Google Cloud Platform (GCP) is a strong advantage.
• Exposure to transformer‑based models, embeddings, or fine‑tuning pre‑trained models for downstream tasks.

About Us

Ipsos is one of the world’s largest research companies, primarily managed by researchers, and has ranked as a #1 full‑service research organization for four consecutive years. With over 75 different data‑driven solutions and a presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject‑matter experts from around the world. We help the biggest companies solve complex problems by providing research, data, and insights on their target markets, and we are proud of our continuous efforts to make Ipsos the best place to work.