Assistant Machine Learning Engineer

Company Description

About Us

Experian is the world’s leading global information services company. During life’s big moments — from buying a home or a car to sending a child to college to growing a business by connecting with new customers — we empower consumers and our clients to manage their data with confidence.

We have 20,000 people operating across 44 countries. By investing in our people, technology and innovation, we can help transform businesses, help communities prosper, enable more people to feel included in the financial opportunities that should be available to them, and help people to thrive. We're looking for inspired employees that want to make an impact on people and business.

Job Description

We’re currently looking for an Assistant ML Engineer – Ascend Intelligence Services (AIS) to join the EMEA Analytics Product Development Team. Ascend Intelligence Services™ is Experian’s cloud-based end-to-end platform, designed to scale and democratize machine learning and empower lenders of all sizes with Experian's advanced data and analytics capabilities. You would be part of the team responsible for automating and streamlining the development, continuous retraining, deployment and monitoring of sophisticated models and strategies to predict risk and gauge portfolio health. If you are passionate about crafting the next generation of analytics products and services, using your engineering and programming skills to solve diverse ML Ops challenges, we could be a great place for you to work.

What you will be doing:

• Support product development by creating new features and automating processes in AIS or stand-alone analytics products
• Produce high-quality clean, testable, and efficient code
• Document new services and features
• Investigate production issues, recreating problems and utilizing trace files & error diagnostics. Identify root cause and propose solutions.
• Support our analytics team members to ensure accuracy and operational feasibility of solutions, from solution design through on-boarding and implementation

Qualifications

What you will bring:

• University degree in a related quantitative field (Data Science, Computer Science, Math, Statistics, Engineering, Physics, or related discipline).
• Demonstrated experience with Python and knowledge of OOP principles, data structures, algorithms & design patterns
• Exposure to statistical analysis, applying various machine learning techniques, predictive modeling, and data mining to interpret data and solve business problems
• Ability to think creatively, solve problems, learn quickly, handle ambiguity, and adapt to change in a fast-paced environment
• Ability to communicate ideas and results effectively both verbally and in writing, to both a technical and non-technical audience (fluency in English)

Any of the following abilities and skills will be considered an advantage:

• Knowledge and appreciation of agile development methodologies and techniques
• Experience with data querying languages (e.g. SparkSQL)
• Familiarity in using AWS, PySpark, Java, Scala, Spark, and data visualization tools
• Experience with JavaScript and other front-end technologies

Additional Information

We offer: 

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials & book.
• Work environment - excellent work conditions with friendly environment, recognized strong 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.

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.

Interested to find out more about our Experian Bulgaria team, review our candidate book: https://view.pagetiger.com/experian-bulgaria-candidate-book/experian-bulgaria-candidate-book-2020

Experian Careers - Creating a better tomorrow together

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

In order to stay safe and be responsible, we introduce a remote hiring process with online interviews for all candidates. 

Experian Careers - Creating a better tomorrow together

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