10 hours ago
Sofia, BulgariaEntry Level
Responsibilities
- Develop data analysis, predictive modeling, ad-hoc analysis, and production-level analytical solutions.
- Help develop and maintain machine learning pipelines for data ingestion, transformation, and model training.
- Write production-level code and support automated testing, deployment, and reliable delivery of analytical applications.
- Identify automation opportunities and contribute to cost-benefit analyses for proposed improvements.
- Conduct code reviews, produce technical documentation, and ensure compliance with internal best practices.
- Deliver proofs of concept and translate client and customer requirements into analytical or technical solutions.
- Maintain client relationships and collaborate with data scientists, product managers, colleagues, and management.
- Build knowledge across software development and analytics and apply relevant technical and analytical learning to project work.
Requirements
- At least 1 year of technical experience in software development.
- Ability to write production-level code in at least one general-purpose programming language such as Python or C++.
- Understanding of large-dataset processing technologies, including Hadoop and Spark, plus graph and time-series databases.
- Exposure to natural language processing and tools for parsing or analyzing unstructured data.
- Comfort working with AWS, Azure, or Google Cloud Platform and virtual environment technologies such as Docker, Kubernetes, and OpenShift.
- Backend development skills including experience with REST APIs, plus familiarity with frontend frameworks such as Angular or React.
- Understanding of domain products and services and ability to contribute to business and technical discussions.
- Advanced degree or equivalent in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or another relevant field.
- Fluent English.
Benefits
- Career development support, learning and development programs, and unlimited access to online training, learning materials, and books.
- Social benefits including life insurance, food vouchers, additional health and dental insurance, monthly flex and internet allowances, corporate discounts, marriage and childbirth/adoption allowances, Multisport card, Sharesave plan, employee assistance program, and birthday gift.
- 25 days of paid vacation, one additional birthday day off, and three extra paid days for participation in a social responsibility event.
- Flexible working hours and home-office options; this is a hybrid remote/in-office role.
- Friendly work environment, team recreation opportunities, and an inclusive, purpose-driven culture.
Tech Stack
AngularApache HadoopApache SparkAWSAzureC++DockerGoogle Cloud PlatformKubernetesOpenShiftPythonReact
Categories
About Experian
Experian builds credit reporting, identity and fraud prevention, and data analytics software that help lenders, insurers, healthcare providers, and marketers make decisions; it also offers consumer credit monitoring and scores. The company earns via data licensing, decisioning software, and subscription services, operates in 30+ countries, is headquartered in Costa Mesa, California, and is a FTSE 100 public company listed on the London Stock Exchange (EXPN); it is one of the three major U.S. credit bureaus.