Data Scientist

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.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.ResponsibilitiesData Processing: Implementing processes to clean, transform, and organize raw data for analysis.Optimization: Enhancing data delivery and automating manual processes to improve efficiency.Data Analysis: Analyzing large volumes of structured and unstructured data to identify trends and patterns.Data Visualization: Creating visual reports to clarify business pain points.Big data platforms: Using data/analytical platforms like Databricks, Cloudera, …Statistical Techniques: Using statistical techniques to validate findings and ensure accuracy.Machine Learning: Developing machine learning models and predictive algorithms to solve business problems.Programming Skills: Applying programming languages and domain?specific tools for analysis.Communication: Communicating with clients and/or other departments/divisions within Experian to ensure accurate and timely implementation of project work.Solving problems: Identifying potential problems in the end?to?end process and taking ownership for the resolution.Qualifications2-3 years of experience in statistical or analytical project work, and/or experience in the financial services, telecommunications, retail, technology, or consulting sectors.Degree or equivalent in a related field such as computer science, data science, statistics, mathematics, or information technology, physics.Highly PC literate with thorough knowledge of statistical.Strong proficiency in Python for data analysis, advanced analytics and automation: Python with Pandas, Numpy and Machine Learning Packages and IT packages.PySpark, TensorFlow or PyTorch is a plus.Knowledge of R, SQL, and SQL Server is highly valued as an additional asset.Experience with cloud?based data platforms (e.g., Databricks, Cloudera, and Snowflake).Knowledge of Power BI for creating interactive dashboards.Understanding of statistical techniques which may be used to address client business issues.An innovative and inquisitive mind, focused on addressing and solving data and analysis problems.Fluency in written and spoken English.Preferred QualificationsKnowledge or hands?on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval.Benefits/PerksGreat compensation package and bonus plan.Core benefits including Private Health Care and Experian wellness program.Flexible schedule, hybrid model of teleworking.Flexible time off including volunteer time off, personal leaves and paid holidays.Experian is proud to be an Equal Opportunity and Affimative Action 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.If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.#J-*****-Ljbffr

2-3 years of experience in statistical or analytical project work, and/or experience in the financial services, telecommunications, retail, technology, or consulting sectors. Degree or equivalent in a related field such as computer science, data science, statistics, mathematics, or information technology, physics. Highly PC literate with thorough knowledge of statistical. Strong proficiency in Python for data analysis, advanced analytics and automation: Python with Pandas, Numpy and Machine Learning Packages and IT packages. PySpark, TensorFlow or PyTorch is a plus. Knowledge of R, SQL, and SQL Server is highly valued as an additional asset. Experience with cloud?based data platforms (e.g., Databricks, Cloudera, and Snowflake). Knowledge of Power BI for creating interactive dashboards. Understanding of statistical techniques which may be used to address client business issues. An innovative and inquisitive mind, focused on addressing and solving data and analysis problems. Fluency in written and spoken English. Preferred Qualifications Knowledge or hands?on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval.

Great compensation package and bonus plan. Core benefits including Private Health Care and Experian wellness program. Flexible schedule, hybrid model of teleworking. Flexible time off including volunteer time off, personal leaves and paid holidays. Experian is proud to be an Equal Opportunity and Affimative Action 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. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #J-*****-Ljbffr

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. 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.