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 accomplish 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 for our customers. Your goal will be to extract insights from data and deliver ML projects from beginning to end, including understanding user needs, analyzing data, training/validating ML models, and deploying ML models to applications.

You will:

• Work with team members to understand desired outcomes and project context.
• Analyze data to get a full understanding of the information captured data.
• Discover new data sources and create new input features for analysis.
• Develop machine learning algorithms with huge data sets to solve challenging business questions.
• Communicate analytical results to team members.

Qualifications

• Advanced degree in a quantitative field (Machine Learning, Data science, Computer Science) or equivalent professional experience.
• 5+ 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.
• Industry experience with statistical modeling techniques such as regression, support vector machines, gradient-boosted trees, and neural nets, including how to optimize models using performance tuning techniques, is required. Experience with deep learning algorithms such as convolutional neural networks and recurrent neural networks.
• Direct experience with analytical tools and programming languages such as Python or R and SQL.
• Adopt new languages/tools, write efficient code, and quickly debug. Working knowledge of Tableau. Experience showing analytical results visually in a compelling manner and knowing what type of analysis fits the problem.
• The ability to extract user requirements from context and conversations. The ability to distill technical knowledge to communicate with a broad audience. The ability to collaborate with others is necessary.
• • Proactive thinking to identify inefficiencies/roadblocks and brainstorm solutions. Visionary, identifying opportunities to expand the business either from a product or operational perspective.

The benefits and perks are these:

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

Additional Information

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.