Assistant Data Scientist

6w1 month ago

Experian

Sofia, BG · Full-time · BGN 36,000 – BGN 48,000

About this role

Experian is seeking an Assistant Data Scientist to join its growing Sofia-based Analytics Team, established in 2007. The team is expanding its portfolio to support the North America Business with data-driven solutions across credit risk and analytics.

In this role you will develop and validate robust analytical solutions for diverse clients. This includes ad hoc data analysis as well as development of statistical models for predicting and managing consumer behavior using machine learning techniques.

You will work with large complex datasets to extract insights and build risk assessment frameworks. Results and business analysis will be presented to senior stakeholders both internal and external while supporting more junior team members in their day-to-day activities.

The position reports to the Data Modeller - Manager and offers the chance to work on proof-of-concept projects and research new advanced analytics solutions while maintaining the existing model development pipeline.

Requirements

1+ years of experience in a Data Science role
BSc level degree in a numerical discipline such as Computer Science, Mathematics, Statistics, Econometrics, or Physics
Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus
Understanding of how and when to apply key analytical approaches including regression analysis and machine learning
Ability to write near-production-level code in at least one general purpose programming language (e.g. Python)
Willingness to learn and understand new technologies
Experience with BI Tools such as Tableau is considered an advantage

Responsibilities

Develop, validate, and maintain credit risk models including application, behavioral, and collection scoring models
Utilize machine learning techniques to enhance traditional credit risk models and improve predictive accuracy
Work with large, complex datasets to extract insights and build risk assessment frameworks
Evaluate the performance of trained models and present results to stakeholders
Produce ad-hoc analysis on the developed models
Work on proof-of-concept projects to support client needs
Maintain and improve the existing model development pipeline
Research and develop new advanced analytics solutions

Benefits

Excellent work conditions with friendly environment, recognized 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, Multisport card, Sharesave plan, and Employee assistance program
25 days paid vacation plus 1 additional day off for your birthday