Senior Data Scientist

Company Description

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.

Job Description

Experian Consumer Services is looking for a Sr. Data Scientist to help create personalized financial solutions to our customers. You will extract insights from data and deliver a ML project from beginning to end, including understanding our needs, training/validating ML models, and deploying ML models to applications. You will report to the Director of Data Science.

You'll have opportunity to:

• Develop machine learning algorithms with huge data sets to solve challenging business questions.
• Monitor and improve performances of existing algorithms.
• Discover new data sources and create new input features for ML models.
• Build end-to-end data pipeline for ML models.
• Communicate important analytical results to team members.

Qualifications

• Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science, etc.) or equivalent professional experience.
• 3+ years of work experience in a quantitative field such as data science or statistical modeling using cloud computing services such as AWS, Google Cloud Platform, Snowflake, Databricks, etc..
• Experience with statistical modeling techniques such as regression, support vector machines, and neural nets. Experience with natural language processing.
• Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks.
• Experience with cluster-computing framework, such as Hadoop or Spark.
• Experience with analytical tools and programming languages such Python or R. Working knowledge of SQL.

Benefits/Perks:

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

#LI-Hybrid

Additional Information

Our uniqueness is that we truly celebrate yours. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) 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 a critical 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.