Experian is hiring a Data Scientist for its Software Solutions division to build advanced analytical solutions and product prototypes. You will leverage predictive modeling, coding expertise, and Generative AI experience to support new global product launches and early client success efforts.

What You'll Do

Create advanced machine learning analytical solutions and prototypes to extract insights from diverse structured and unstructured data sources.
Collaborate with Engineering, Research, and Data Science teams on the design of Machine Learning, Dashboarding, Ad Hoc Analysis, and AI applications.
Articulate model processes and outcomes, document and present findings and performance metrics, and translate complex findings into relevant insights.
Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new solutions to market.
Use Gen AI and model development tools to create new models.
Research and integrate new data assets from different sources into Experian's ML and AI platform.
Gather feedback from internal and external clients to guide new product development, feature prioritization, and product evolution.
Dissect and document vast datasets, analyzing them to highlight patterns and insights.
Solve complex challenges by developing impactful algorithms.

What We're Looking For

Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
3+ years of experience in AI, data science, or predictive modeling, with a track record for managing complex, hands-on analytical technology projects.
Statistical modeling proficiency in at least one programming language, with coding skills in Python, and familiarity with coding best practices.
Experience with large data analysis using Spark (pySpark preferred).
Experience with LLMs and relevant tools in the Generative AI domain.
Experience with ML algorithms such as XGBoost, GANs, clustering, graph algorithms, and hyperparameter tuning.
Experience with open-source tools for deep learning and machine learning such as pytorch, Keras, tensorflow, scikit-learn, pandas.
Experience applying Generative AI-based tools.
Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, or Cassandra.
Experience modifying and applying advanced algorithms to address practical problems.

Technical Stack

Languages & Frameworks: Python, Spark, pySpark
AI/ML: LLMs, Generative AI tools, XGBoost, GANs, pytorch, Keras, tensorflow, scikit-learn, pandas
Big Data: Hadoop, NoSQL, Map Reduce, Hive, HBase, mongoDB, Cassandra
Cloud: AWS

Team & Environment

This role is part of the Experian Software Solution's Analytics Services Team, reporting to the Director of Data Science and Gen AI.

Benefits & Compensation

Personal Development - Career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, a birthday gift and many other benefits.
Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility events.
Opportunity for Flexible working hours and Home Office.

Work Mode

This position operates on a hybrid work model.

Experian is an equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age.