Assistant Machine Learning

Описание

We’re hiring! Come and join our Experian community.
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.

Position Title: Assistant Machine Learning Engineer
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’ll 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
What you’ll 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
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 are you waiting for? Apply now to discover the unexpected. We can’t wait to hear from you.

To find out what it’s really like to work with us, search #UniquelyExperian and #ExperianLife on social media.

Our Social Benefits Package
We are passionate about what's next for you. We reward curiosity and promote growth. We believe the workplace should be a place of personal, professional and emotional fulfilment.

Our concept is simple. We believe in expanding horizons – it’s what makes Experian a global leader.

Изисквания към кандидата

Езикови познания:
Английски език

Трудов опит:

Образование:

Ние предлагаме

Вид заетост:
Пълен работен ден

Срок на заетост:
Постоянна

Договор:

Ниво в йерархията:

Категория:

ИТ и Компютърни специалисти

Държава:

България

Населено място:

Гр. София

Адрес:

Цариградско шосе 115 Г, бл. Сграда Мегапарк, ет. 10, София 1784

Дата:

02.11.2022

Организация:

ЕКСПИРИЪН БЪЛГАРИЯ ЕАД
Фирма/Организация - Директно търсеща служители

Детайли за организацията:

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