Data Science.Scientist.II

Job description

Experian is seeking a motivated and detail-oriented Data Scientist to join our Marketplace Decision Optimization team. This is a unique opportunity to be part of a large, revenue-driving team that operates on an entirely cloud-based analytical platform. In this role, you will work closely with other data scientists and analysts to support data-driven decision-making processes. You will be responsible for data collection, cleaning, and analysis, as well as developing and implementing machine learning models. This is an excellent opportunity for someone with a strong analytical background and a passion for data science to grow and develop their skills in a supportive and innovative environment.

Key Responsibilities:

• Work with both internal and external data science teams to integrate and build models that the business needs.
• Extract, formulate and manipulate data using Python and SQL within Snowpark container services.
• Learn and understand the structure of our Snowflake database and its relationship to our product environment.
• Communicate effectively within a team environment.
• Demonstrate ownership and responsibility for individual projects.
• Innovate and contribute new ideas to improve business processes.

Qualifications:

• Bachelor's degree in Statistics, Math, Engineering or a related quantitative discipline from an accredited college or university. Advanced Degree as an ideal.
• 2+ years of experience in statistical analysis and modeling especially with consumer credit underwriting, customer segmentation, and customer valuations.
• Strong quantitative, qualitative, and communication skills.
• Ability to provide solutions to complex problems.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Qualifications

• Bachelor's degree in Statistics, Math, Engineering or a related quantitative discipline from an accredited college or university. Advanced Degree as an ideal.
• 2+ years of experience in statistical analysis and modeling especially with consumer credit underwriting, customer segmentation, and customer valuations.
• Strong quantitative, qualitative, and communication skills.
• Ability to provide solutions to complex problems.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.