Associate Data Scientist

Company Description

About Us

Experian unleashes the power of data to generate opportunities for consumers, businesses and society. At significant life milestones – such as buying a home or car, sending a child to college, or expanding a business substantially by connecting it with new customers – we enable consumers and our clients to manage their data confidently, making the most of each opportunity.

We collect, analyze and process data in ways that others can't. We assist individuals in gaining financial control and accessing financial services, businesses in making informed decisions and thriving, lenders in lending more responsibly, and organizations in preventing identity fraud and crime. For over 125 years, we have helped consumers and clients flourish, and have seen economies and communities thrive – and we're not finished.

Our 22,000 employees in 32 countries believe that opportunities for you, and for our world, are expanding. We're investing in new technologies, talented individuals, and innovation to help shape a better future.

Job Description

You might be wondering about your responsibilities:

• Creating Machine Learning models in the field of fraud prevention using both conventional and alternative data sources
• Extracting and processing data, training models, deploying, and monitoring
• Using for creating, optimizing, evaluating, and implementing ML models
• Developing customized models
• Deploying models in production and test environments using appropriate technologies
• Documenting various aspects of the modeling/testing process

Qualifications

We are looking for you to bring:

• A BSc degree in a numerical field, such as Computer Science, Mathematics, Statistics and Econometrics, Physics, and so on
• Understanding of key analytical approaches and when to use them, including regression analysis and machine learning
• Capability to write Python code/ expertise in Core Python
• A strong understanding of probability, statistical inference, optimization algorithms, linear algebra, and calculus
• Adaptability and willingness to learn and understand new technologies
• Demonstrable analytical and problem-solving skills, curiosity and the ability to learn quickly
• An eye for detail, ability to identify issues and promptly propose solutions
• Excellent verbal and written communication skills (English proficiency)

The following skills and abilities will be considered an advantage:

• Experience with deep learning and other advanced model building techniques for automating insights from data
• Familiarity with Linux
• Knowledge of scheduling solutions (Apache Airflow), container applications (Docker, Kubernetes) and Git CI/CD

Additional Information

Why Choose Us?

No one deciphers data like Experian. We are on a mission to leverage the full potential of data, analytics, and technology in ways that transform lives. We believe in collective effort, so we foster an inclusive working environment that embraces various viewpoints. We prioritize people and value work that delivers results.

We understand the importance of balancing work and personal life. We all have responsibilities and interests outside the workplace. So, feel free to discuss how you'd most like to engage with us. We are flexible and invested in ensuring you get the most out of your work with us.

Here's what you will receive:

• A work environment offering excellent conditions, a friendly atmosphere, a deeply ingrained team spirit, and fun, quality recreation time
• A benefits package that includes life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance covering internet bill, sick leave allowance, corporate discounts, marriage and childbirth/adoption allowance, Multisport card, Sharesave plan, Employee Assistance Program, a birthday gift and much more!
• Work-life balance with 25 vacation days, a personal birthday leave and 3 additional days of paid leave for participation in social responsibility events
• The possibility of flexible working hours and remote work
• Opportunities for personal development – guided career paths backed by learning and development programs, coupled with unlimited access to online training courses, educational materials & books

Our Social Benefits Package – Taking care of our Team