Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.
Job DescriptionWe are a lean team building cloud solutions that users actually get excited about—and we care just as much about how we ship them as what we build: simple, secure, and scalable.
Beyond technical strength, we value engineers who bring ownership and clarity to their day-to-day work—planning effectively, breaking down complexity, asking thoughtful questions, and communicating progress early so there are no surprises.
As an Assistant Machine Learning Engineer you will connect the dots between your work and real outcomes, explain ideas in a clear and simple way, and learn quickly in an empowered environment.
You will report to Product Manager.
What you'll do:
- Deploy and configure Ascend Sandbox environments using CI/CD, ensuring repeatable, scalable and reliable platform setup
- Design, build and maintain data pipelines to support product and analytics use cases on Ascend Sandbox
- Contribute to end-to-end platform and services design, integration and rollout across new markets
- Support and maintain Sandbox platform and services, and drive continuous improvement
- Support product development on top of Ascend platforms
What you'll bring:
- Experience with Azure, main cloud services (Azure blob storage, Virtual machines, networking, Active Directory), Databricks, Azure Data Factory
- Experience with CI/CD process development (Jenkins)
- Experience with infrastructure as a code (Terraform)
- Exposure to Linux
- Good knowledge of OOP principles, data structures, algorithms & design patterns
- Knowledge and appreciation of agile development methodologies and techniques
- 3+ years of working knowledge in Python – preferably both Python's own syntax but also some of its main analytical packages (such as Pandas, Numpy, MatplotLib)
- Basic knowledge of statistics and of measures used for evaluating performance of Machine Learning models, such as precision, recall, etc.
- Basic understanding of Data Science concepts such as overfitting, cross-validation, test-vs-train split, etc.
- Knowledge in managing Databricks or similar platforms, with experience in data management and data processing
- Experience in using PySpark, SparkSQL, Delta Lake, DataFrames, jobs, Model tracking etc., and administration for notebooks and workflow
We will consider any of the following abilities and skills an advantage:
- Experience with containerization of ML models (fastapi)
- Experience with AWS, main cloud services (S3, EC2, Lambda functions, networking) + EKS, Sagemaker, managed elastic search and kafka services
- Experience with Apigee for APIs management
- Experience with SSO integrations (Okta)
You will 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 books.
- 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
This is a hybrid remote/in-office role.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Skills Required
- Experience with Azure and core services (Blob Storage, Virtual Machines, Networking, Active Directory)
- Experience with Databricks and managing Databricks platforms (data management and processing)
- Experience with Azure Data Factory
- Experience with CI/CD process development (Jenkins)
- Experience with infrastructure as code (Terraform)
- Exposure to Linux
- Good knowledge of OOP principles, data structures, algorithms and design patterns
- Knowledge and appreciation of agile development methodologies and techniques
- 3+ years working knowledge in Python and familiarity with analytical packages (Pandas, NumPy, Matplotlib)
- Basic knowledge of statistics and ML evaluation metrics (precision, recall, etc.)
- Basic understanding of Data Science concepts (overfitting, cross-validation, train/test split)
- Experience using PySpark, SparkSQL, Delta Lake, DataFrames, jobs, model tracking, and notebook/workflow administration
- Experience with containerization of ML models (FastAPI)
- Experience with AWS core services (S3, EC2, Lambda) and managed services (EKS, SageMaker)
- Experience with managed Elasticsearch and Kafka services
- Experience with Apigee for API management
- Experience with SSO integrations (Okta)
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
