Data Scientist (Contract)

Experian Marketing Services (Malaysia) Sdn Bhd; Cyberjaya; Hybrid; MYR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work arrangement

Discretionary bonus plan

Great compensation package

Job summary

Experian Marketing Services (Malaysia) Sdn Bhd is seeking an intermediate Data Scientist for a 12-month contract. You will join a multidisciplinary team to apply statistical analysis and machine learning to real business problems, reporting to the Data Science and Engineering Manager.

The role requires 5+ years of data science experience, strong Python/SQL skills, and experience with cloud platforms. Collaborative work across Product, Data Engineering and other stakeholders in a hybrid setup is

Qualifications

• 5 years of working experience applying data science and machine-learning techniques to business or product challenges.
• Proficiency in Python and SQL for analysing large datasets using libraries such as pandas or scikit-learn.
• Strong knowledge of statistics, experimentation and machine learning, including regression, hypothesis testing, experimental design, feature engineering, model evaluation.
• Experience with cloud data platforms, such as Snowflake.
• Clear communication and collaboration skills across teams and locations.

Responsibilities

• Analyse complex datasets to identify patterns and insights informing product and business decisions.
• Develop and evaluate statistical and machine-learning models with data preparation, feature engineering, model selection and validation.
• Design and analyse experiments using regression, hypothesis testing and A/B testing.
• Contribute to data science initiatives including Mosaic, Audience Taxonomy, Spend Analytics, embeddings, RAG and prompts where relevant.
• Collaborate with scrum teams and stakeholders to translate requirements into reliable analytical solutions and communicate findings clearly.

Skills

Python

SQL

Statistics

Experimentation

ML & AI

Tools

pandas

scikit-learn

Job description

Experian Marketing Services (Malaysia) Sdn Bhd 4.0 View all jobs

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces 2025 (Fortune Global Top 25), Great Place To Work in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Aff… If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Job Description

We're looking for an intermediate Data Scientist to join our Data Science team on a 12-month contract.

The team works across established and emerging data products and analytical initiatives within Experian Marketing Services. Current priorities include the Mosaic refresh, Audience Taxonomy and Spend Analytics, alongside new machine-learning and AI opportunities across our consumer and commercial businesses.

This is a hands-on role where you'll apply statistical analysis, experimentation and machine learning to real business and product problems. Working within a multidisciplinary scrum team, you'll take analytical work from problem definition and data exploration through modelling and validation, collaborating with Product, Data Engineering and other stakeholders to turn data science into practical outcomes. You will report to Data Science and Engineering Manager

What you'll be doing:

Analyse complex datasets to identify patterns and insights that inform product and business decisions.

Develop and evaluate statistical and machine-learning models, including data preparation, feature engineering, model selection, validation and performance monitoring.

Design and analyse experiments using methods such as regression analysis, hypothesis testing and A/B testing.

Contribute to data science and AI initiatives, including Mosaic, Audience Taxonomy, Spend Analytics, embeddings, retrieval-augmented generation (RAG) and prompt engineering, where relevant.

Collaborate with scrum teams and stakeholders to translate requirements into reliable analytical solutions, document methodologies and communicate findings clearly to technical and non-technical audiences.

Qualifications

What we’re Looking:

5 years of working experience applying data science and machine-learning techniques to business or product challenges, ideally within marketing analytics, customer segmentation, audience analytics or a related customer-data environment.

Proficiency in Python and SQL for analysing large and complex datasets, using libraries such as pandas, scikit-learn or similar tools.

Strong knowledge of statistics, experimentation and machine learning, including regression, hypothesis testing, experimental design, feature engineering, model selection and evaluation.

Experience working with modern cloud data platforms, such as Snowflake, and the ability to structure and solve complex or ambiguous problems.

Clear communication, planning and collaboration skills, with the ability to work independently and partner effectively with Data Science, Engineering, Product and business teams across locations, time zones and changing priorities.

Additional Experience That Would Be Valuable:

Experience with generative AI and large language model applications, including embeddings, retrieval-augmented generation (RAG), vector search or prompt engineering.

Knowledge of deep-learning techniques or experience working with large-scale datasets.

Experience developing analytical solutions into repeatable products, capabilities or business processes.

Exposure to model validation, monitoring and ongoing performance evaluation.

Additional Information

• Great compensation package and discretionary bonus plan
• Hybrid work arrangement - 2 days WFO and 2 days WFH
• Experian is an equal opportunities employer