Data Scientist, Remote - job 1 of 4
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
As a Data Scientist, you will help develop analytical solutions, contributing to product prototypes, and helping evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position.
Responsibilities
- Craft advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
- Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
- Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
- Innovate with tools designed for data processing and information retrieval.
- Dissect and document vast datasets, analyzing them to highlight patterns and insights.
- Solve complex challenges by developing impactful algorithms.
- Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
- Articulate model processes and outcomes, documenting and presenting findings and performance metrics.
Qualifications
- Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
- 1 or more years of experience in AI, data science, or predictive modeling
- Proficiency in at least one programming language, with coding skills in Python
- Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or, reinforcement learning.
- Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
- Experience with large data analysis using Spark (pySpark preferred)
- Experience with LLMs and the relevant tools in the Generative AI domain.
- Experience developing advanced language models
- Experience applying Generative AI-based tools
- Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
- Experience modifying and applying advanced algorithms to address practical problems
Additional Information
Benefits.
- Paid Time Off and 12 Paid Holidays
- Great compensation package and comprehensive benefits package, with an annual bonus
- Flexible work schedule and relaxed dress code
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.
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