Time since we first saw it
Day 12
Similar jobs usually come down between day 7 and day 55.
From 9,990 similar postings that came down. Coming down is not always a hire.
Associate Machine Learning Scientist
Sofia, Bulgaria
Likely evergreen, first seen by us 12 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- 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 postingAnalyze, evaluate, and document large data sets
Design data structure and data storage schemes for efficient data manipulation and information retrieval
Develop tools for data processing and information retrieval
From the employer’s posting
What you'll do: Analyze, evaluate, and document large data sets Identify and apply appropriate machine learning/data mining/text mining techniques to uncover the value of the data
Identify and apply appropriate machine learning/data mining/text mining techniques to uncover the value of the data Design data structure and data storage schemes for efficient data manipulation and information retrieval Develop tools for data processing and information retrieval
Design data structure and data storage schemes for efficient data manipulation and information retrieval Develop tools for data processing and information retrieval Develop data-driven models to measure the value of a given data set; Validate score performance;Conduct ROI and benefit analysis
What you’ll bring
All qualificationsCore experience
- Understanding of how and when to apply necessary analytical approaches including regression analysis, machine learning, AI, deep learning and other advanced modeling approaches to extract and automate insights from data.
- Experience writing near-production-level code in at least one general purpose programming language (e.g.
- Understanding of Apache family (Hadoop, Spark), latest database technologies (e.g.
Qualification wording
Understanding of how and when to apply necessary analytical approaches including regression analysis, machine learning, AI, deep learning and other advanced modeling approaches to extract and automate insights from data.
Experience writing near-production-level code in at least one general purpose programming language (e.g. Python, C++).
Understanding of Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data.
Posting record
Report an errorLikely evergreenReposted 2 times since Oct 7, 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 22, 202612 days ago
- Recorded sightings
- 98
- Last seen by us
- Nov 4, 2026
- Reposted
- 2 times since Oct 7, 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
Experian is hiring
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Takes jobs down quickly
- 36% of open jobs were reposted
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.
- C++
- Python
- Hadoop
- Spark
Where the posting names them
- Grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, Bayesian shrinkage, in-sample vs out-of-sample. Fluency with statistical significance tests and Monte Carlo simulation. - Experience writing near-production-level code in at least one general purpose programming language (e.g. Python, C++). - Understanding of Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data.
- Experience writing near-production-level code in at least one general purpose programming language (e.g. Python, C++). - Understanding of Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data. Additional Information
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
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Has Experian posted this job before?
Yes. We’ve followed 2 other Associate Machine Learning Scientist jobs there since October 2026. 2 came down, usually after about 8 days.
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
Job Description
This is a 2-year fixed-term role.
As Associate Machine Learning Scientist you will work on advanced research and development, to enhance relationships with clients, acquire strategic datasets and provide new solutions through product prototyping.
You will concentrate on new data asset evaluation and acquisition and new product prototyping. This will involve inventing and modifying advanced innovative algorithms, and applying them to large datasets to solve difficult business problems. You will balance and prioritise multiple concurrent projects, anticipate obstacles, and make high quality deliveries.
You will report to Director of Data Science and Gen AI.
What you'll do:
- Analyze, evaluate, and document large data sets
- Identify and apply appropriate machine learning/data mining/text mining techniques to uncover the value of the data
- Design data structure and data storage schemes for efficient data manipulation and information retrieval
- Develop tools for data processing and information retrieval
- Develop data-driven models to measure the value of a given data set; Validate score performance;Conduct ROI and benefit analysis
- Document and present model process and model performance
- Apply analytical and industry knowledge to construct analytical solutions with details for internal and external clients to solve their business problems.
Qualifications
What you'll bring:
- Grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus.
- Understanding of how and when to apply necessary analytical approaches including regression analysis, machine learning, AI, deep learning and other advanced modeling approaches to extract and automate insights from data.
- Grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, Bayesian shrinkage, in-sample vs out-of-sample. Fluency with statistical significance tests and Monte Carlo simulation.
- Experience writing near-production-level code in at least one general purpose programming language (e.g. Python, C++).
- Understanding of Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data.
Additional Information
What you'll get:
- Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and book.
- Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
- Opportunity for Flexible working hours and Home Office.
Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid
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.
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.
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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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sofia, Bulgaria
Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-Hybrid 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.