Associate Machine Learning Engineer

Company Description

Experian unlocks the power of data to create opportunities for consumers, businesses and society. At 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 their data with confidence so they can maximize every opportunity.

We gather, analyze 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 22 000 people in 32 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.

We are currently looking for Associate Machine Learning Engineer to join our team and support the development of end-to-end analytics solutions on top of the Ascend Sandbox platform in EMEA & APAC region. 

Job Description

What you will be doing:

• Development, maintenance and support of advanced analytical solutions for data analysis, predictive model development and ad-hoc analysis implementing accurate and reliable code.
• Prepare and conduct tests of the automated solutions.
• Build and update pipelines for automation of processes.
• Working together with data scientists on the development of machine learning pipelines for data ingestion, transformation, and model training.
• Continuously work on identifying opportunities for automation, supporting his/her ideas with cost/benefit analyses justifying the need both internally within the team and towards external stakeholders.
• Produce technical documentation in compliance with internal best practices.

Qualifications

We are looking for you to bring:

• A degree (BSc level) in a numerical discipline, such as Computer Science, Mathematics, Statistics and econometrics, Physics, etc.
• 3+ years of working experience in Python – preferably both Python’s own syntax but also some of its main analytical packages (such as pandas, numpy, sklearn)
• Ability to write Python code/ Core Python expertise.
• Good knowledge of OOP principles, data structures, algorithms & design patterns
• Flexible and adaptable to learn and understand new technologies. 
• 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 of good software development practices (Test-driven Development, Clean Code, Refactoring, etc.)
• 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.
• Experience with CI/CD process development

Additional Information

Why Us?

No one makes sense of data like Experian. We are on a mission to deliver the full power of data, analytics and technology in ways that transform lives. As a team, we’re committed to working together. So, we work in an inclusive environment that welcomes people with lots of different perspectives. We put people first and care about work that works.

We like to strike a balance between how much time we spend on work and how much we keep for ourselves. After all, we’ve all got commitments and interests outside the office. So, talk to us about how you’d best like to work with us. We’re flexible and interested in helping you to get the best out of working with us.

What you will get:

• Work environment - excellent work conditions with friendly environment, recognized strong team spirit, and fun and quality recreation time.
• Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
• Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
• Opportunity for flexible working hours and home office.
• Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials & books.

Our Social Benefits Package - the way we care for our People

Experian Careers - Creating a better tomorrow together

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