Company Description
Experian is the leading global information services company. We help businesses provide great customer experiences by managing and analyzing data that will help them solve problems, drive better decisions and outcomes, and prevent fraud. We help millions of people better manage and improve their financial lives – gain access to credit, save money, and protect their identity.
About us, but we’ll be brief
Experian is unlocking the power of data to create more opportunities for consumers, businesses, and society. We are thrilled to share that FORTUNE has named Experian one of the 100 Best Companies to work for. In addition, for the last five years we’ve been named in the 100 “World’s Most Innovative Companies” by Forbes Magazine.
We have 20,000 people operating across 44 countries and every day we’re investing in new technologies, talented people, and innovation to help all our clients maximize every opportunity.
Job Description
Job Description
Experian EITS is looking for an experienced software data engineer who will play a key role in designing and building software systems that deliver scalable solutions for applications utilizing large and diverse data sources. The recent advancements in areas like Generative AI have heightened the need for processing both structured and unstructured data to effectively leverage large language models. We are looking for a skilled professional with hands-on experience in software and data engineering to enhance our data science and machine learning efforts. This role involves close collaboration with various technology teams to guide the inception, implementation, and deployment of these solutions.
What you’ll be doing
- Collaborate with data scientists and machine learning engineers to integrate and optimize applications of large language models
- Implement best practices for data processing (ingestion, cleansing, transformation, storage) and management, ensuring data quality and integrity
- Troubleshoot and resolve issues related to data pipelines, storage and processing
- Exploration of novel and innovative technologies to enhance existing products and shape new products
- Work collaboratively with engineers and scientists across regions and business units
- Ability and willingness to document, summarize and communicate development results to stakeholders
Qualifications
What your background looks like
- Masters degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics)
- 10+ years of relevant working experience in a similar role, preferably involving business information, fraud, or credit data
- Experience developing sofware in Java, Python, C/C++ or other programming languages
- Experience with data querying languages (e.g. SQL)
- Experience with machine learning methods such as Neural Networks, Clustering, SVM, Ensemble models, Reinforcement Learning
- Excellent written, verbal, interpersonal communication, and presentation skills
Preferred Qualifications
- PhD degree in a related quantitative field (Computer Science, Math, Statistics, Engineering, Physics, Economics).
- Extensive experience with large data architectures, including Spark, Hadoop, or similar technologies
- Proficiency in embedding models, chunking strategies, and vector stores
- Hands-on experience with modern Generative AI tools and frameworks such as OpenAI, Hugging Face, AWS Bedrock, LangChain, and LlamaIndex
- Proven track record of guiding team members in deploying AI/ML solutions into production environments
- Strong familiarity with cloud-based platforms for machine learning and data processing
Additional Information
Perks
- Currently all Experian employees are working remotely.
- 20 paid vacation days and two volunteer days (plus eleven paid holidays)
- Competitive pay and comprehensive benefits package, with a bonus of 20%
- Flexible work schedule and relaxed dress code
All your information will be kept confidential according to EEO guidelines.
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