Role overview
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.
What you'll work on
- Lead and manage the data science team to develop innovative algorithms and data products.
- Design and implement scalable data products that leverage hybrid cloud environments.
- Utilize publicly available and first-party data to drive insights and data product development.
- Integrate next-generation applications and platforms with existing legacy systems to ensure seamless data flow and interoperability.
- Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders to define project requirements and deliverables.
- Ensure the highest standards in balancing predictive and descriptive performance and model stability and explainability.
- Stay abreast of emerging technologies and industry trends to continuously innovate and improve the lab's capabilities.
- Mentor and develop team members, fostering a culture of continuous learning and improvement.
What we're looking for
- Bachelor's and Master's degree in Data Science, Computer Science, Software Engineering, or a related field;
- Proven experience in leading data science teams.
- Candidates must be familiar with at least one of the following technologies for each of the following category:
- Machine learning and AI technologies
- GenAI APIs & Integration tools (AWS Bedrock, Azure OpenAI Services)
- Cloud computing platforms (e.g. AWS, Azure, Google Cloud)
- Data visualization tools (e.g. Tableau, Power BI, D3.js)
- Programming languages (e.g. Python, SQL)
- Emerging technologies (e.g. quantum computing, blockchain)
Tags & focus areas
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