Junior Data Modeller with Python
Company Description

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.

Analytics Center of Expertise Services (ACES) is the biggest analytics team in Experian. The mission of the team is to power business growth through market leading Analytics. The vision of the team is to be the trusted partner for our customers allowing Experian to provide unique to the market solutions.

Typical for this career path is the development of descriptive and predictive analytical solutions, using advanced modeling and statistical techniques. People specializing in this field are also responsible for different model optimizations and forecast.

We are currently looking for Junior Data Modeller with Python to join our growing Sofia based Analytical Team, established in 2007.

As a Junior Data Modeller, you will develop and validate analytical solutions for diverse clients - this includes ad hoc data analysis as well as development of statistical models for predicting and managing the behavior of consumers.

Job Description

Your day-to-day duties will include:

• Under significant guidance extract, formulate and manipulate data to create the structured samples necessary to address business requirements.
• Support the development of analytical models and solutions.
• Working with other Data Modellers, interpret analysis results.
• Ensure quality and accuracy of own work.
• Under guidance, follow the relevant procedures and processes throughout the analytics solutions delivery process.
• Supports low complexity projects and provides support in the shaping and refining such projects
• Ensure full understanding of the client’s/customer’s requirements
• Take part in workshops.
• Interpret documentation.


We look for a person, that will bring us:
· University Degree in a quantitative subject as Mathematics, Statistics, Informatics, Economics, Physics or Business
· Excellent command of English – both written and spoken
· Python skills;
· Predictive modelling
· Programming and coding; R-programming
· Interest to extract, transform, and analyse vast data pools
· Strong analytical skills, and desire to learn
· Knowledge in statistical software packages and other related 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.

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

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

Experian Careers - Creating a better tomorrow together
Изисквания към кандидата

Езикови познания:
Английски език

Трудов опит:

Ние предлагаме

Вид заетост:
Пълен работен ден

Срок на заетост:

Банково дело
Инвестиционни посредници
Бизнес /консултантски услуги
Населено място:
Гр. София
Цариградско шосе 115 Г, бл. Сграда Мегапарк, ет. 10, София 1784
Фирма/Организация Директно търсеща служители
Детайли за организацията:
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