Data Engineer
We are the leading global information services company, providing data and analytical tools to our clients around the world. We help businesses to manage credit risk, prevent fraud, target marketing offers and automate decision making. We also help people to check their credit report and credit score, and protect against identity theft.

In 2018, for a fifth consecutive year, Experian has been named to Forbes Magazine’s Top 100 list of the “World’s Most Innovative Companies.”

We employ approximately 17,000 people in 37 countries and our corporate headquarters are in Dublin, Ireland, with operational headquarters in Nottingham, UK; California, US; and São Paulo, Brazil.

At Experian, we are committed to building an inclusive culture and creating an environment where people can balance successful careers with their commitments and interests outside of work. Our flexible working practices support our belief that this balance brings long-lasting benefits for our business as well as our people. Some roles lend themselves to flexible options more than others, and if this is important to you, we are open to discussing agile working opportunities during the hiring process.

Advances in technology and software are enabling organizations to adopt more powerful and advanced analytical approaches to help drive growth, efficiency, competitiveness and manage risk. The availability of new data sources creates enormous potential for developing predictive credit risk management models which go far beyond 'traditional' internal and credit bureau data. Experian has already invested in this area, developing extensive knowledge, experience and established a track record in delivering big data, data science, advanced analytics and smart credit solutions, in numerous countries across the globe.Our advanced analytics solution - Web Data Insights (WDI) - uses public unstructured data gathered from the internet, combined with machine learning techniques, to develop models that enable companies to add another dimension to their credit risk management. This is your opportunity to make a difference!

Position Title: Data Engineer

We're currently looking for a Data Engineer to join one of our Analytics CoE teams focused on further developing our Web Data Insights solution across EMEA region.

Deploy signed-off models in the production environment
Investigate complex production issues, recreating problems and utilizing trace files & error diagnostics. Identify root cause and propose solutions
Perform Quality Assurance on the training data produced by our models, and provide feedback to the teams producing our training data
Evaluate the quality of the trained models, using existing and also new measures (which the Data Engineer will create)
Report on the current and historical state of our models’ performance, along with issues and progress
Assist our Data Scientists with testing and coding.
Document parts of the modelling/testing process

The successful candidate will have:
A degree (BSc level) at a numerical discipline, such as Computer Science, Maths, Statistics, Physics, etc.
Working knowledge of Python – preferrably both Python’s own syntax but also some of its main analytical packages (such as Pandas, Numpy, MatplotLib)
Flexible and adaptable to learn and understand new technologies
Demonstrable analytical and problem-solving abilities, coupled with an enquiring mind and the ability to learn quickly
A keen eye for detail, good at spotting problems and quickly proposing solutions.
Strong verbal and written communication skills (fluency in English)

Any of the following abilities and skills will be considered an advantage:
Knowledge and appreciation of agile development methodologies and techniques
Knowledge in container based deployment technologies (Docker, Kubernetes, and OpenShift)
Knowledge in AWS cloud services (API Gateway, AWS Lambda, S3)
Experience with Apigee for APIs management
Experience with automation packages, such as Luigi and make
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
Exposure to Linux.
Изисквания към кандидата

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Английски език

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ИТ и Компютърни специалисти
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Гр. София
Цариградско шосе 115 Г, бл. Сграда Мегапарк, ет. 10, София 1784
Фирма/Организация Директно търсеща служители
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