Experian

Data Scientist (Contract)

Cyberjaya, Selangor, Malaysia

Likely evergreen, first seen by us 14 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Analyse complex datasets to find patterns that guide product and business decisions
Develop and validate statistical and machine-learning models, including monitoring performance
Design and analyse experiments such as regression, hypothesis tests and A/B tests
Contribute to AI initiatives including embeddings, RAG and prompt engineering
Document methods and explain findings to technical and non-technical audiences

From the employer’s posting

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.

document methodologies and communicate findings clearly to technical and non-technical audiences.

What you’ll bring

All qualifications

Core experience

Proficiency in Python and SQL for analyzing datasets, using libraries such as pandas, scikit-learn or similar tools, with experience working on modern cloud data platforms such as Snowflake.
Knowledge of statistics, experimentation and machine learning, including regression, hypothesis testing, experimental design, feature engineering, model selection and evaluation.
Experience with deep-learning techniques or large-scale datasets would be valuable.
Experience structuring and solving complex or ambiguous problems and translate analytical solutions into repeatable products, capabilities or business processes, including model validation, monitoring and ongoing performance evaluation.
Experience managing assigned work and collaborating with Data Science, Engineering, Product and business teams across locations and time zones, including coordinating deliverables and priorities.

Preferred experience

Familiarity with generative AI and large language model applications, such as embeddings, retrieval-augmented generation (RAG), vector search or prompt engineering, is preferred.

Qualification wording

Proficiency in Python and SQL for analyzing datasets, using libraries such as pandas, scikit-learn or similar tools, with experience working on modern cloud data platforms such as Snowflake.

Knowledge of statistics, experimentation and machine learning, including regression, hypothesis testing, experimental design, feature engineering, model selection and evaluation. Experience with deep-learning techniques or large-scale datasets would be valuable.

Experience structuring and solving complex or ambiguous problems and translate analytical solutions into repeatable products, capabilities or business processes, including model validation, monitoring and ongoing performance evaluation.

Experience managing assigned work and collaborating with Data Science, Engineering, Product and business teams across locations and time zones, including coordinating deliverables and priorities. Familiarity with generative AI and large language model applications, such as embeddings, retrieval-augmented generation (RAG), vector search or prompt engineering, is preferred.

Benefits in the posting

Full benefits wording

Inclusive paid leave
People-first and inclusive workplace
Career growth opportunities
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Company Description
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.

From the employer’s posting.

Apply at Experian

Posting record

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Likely evergreenReposted 2 times since Oct 9, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records: Live
First seen by us: Oct 21, 202614 days ago
Recorded sightings: 104
Last seen by us: Nov 4, 2026
Reposted: 2 times since Oct 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 14

Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

Experian is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Scientist hiring is picking up
Takes jobs down quickly
33% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Snowflake
pandas
scikit-learn

Where the posting names them

- At least five years of experience applying data science and machine-learning techniques to business or product challenges, within marketing analytics, customer segmentation, audience analytics or a related customer-data environment. - Proficiency in Python and SQL for analyzing datasets, using libraries such as pandas, scikit-learn or similar tools, with experience working on modern cloud data platforms such as Snowflake. - Knowledge of statistics, experimentation and machine learning, including regression, hypothesis testing, experimental design, feature engineering, model selection and evaluation. Experience with deep-learning techniques or large-scale datasets would be valuable.

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Has Experian posted this job before?

Yes. We’ve followed 2 other Data Scientist (Contract) jobs there since October 2026. 2 came down, usually after about 6 days.

CyberjayaCame down after 10 days, first seen Oct 9
CyberjayaCame down after 1 day, first seen Oct 19
This jobUp 15 days so far, first seen Oct 21

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 For:

At least five years of experience applying data science and machine-learning techniques to business or product challenges, within marketing analytics, customer segmentation, audience analytics or a related customer-data environment.
Proficiency in Python and SQL for analyzing datasets, using libraries such as pandas, scikit-learn or similar tools, with experience working on modern cloud data platforms such as Snowflake.
Knowledge of statistics, experimentation and machine learning, including regression, hypothesis testing, experimental design, feature engineering, model selection and evaluation. Experience with deep-learning techniques or large-scale datasets would be valuable.
Experience structuring and solving complex or ambiguous problems and translate analytical solutions into repeatable products, capabilities or business processes, including model validation, monitoring and ongoing performance evaluation.
Experience managing assigned work and collaborating with Data Science, Engineering, Product and business teams across locations and time zones, including coordinating deliverables and priorities. Familiarity with generative AI and large language model applications, such as embeddings, retrieval-augmented generation (RAG), vector search or prompt engineering, is preferred.

Additional Information

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 Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits and Perks:

Hybrid work arrangement: You will divide your time between working remotely and working from the office. You will work from the office at least two days per week. You and your manager will agree on your office days, taking business and client needs into consideration.
Inclusive paid leave
People-first and inclusive workplace
Career growth opportunities
Exposure to diverse, global teams

#LI-Hybrid

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Company Description

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.

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