Data Scientist

Company OverviewExperian is a global data and technology company, powering opportunities for people and businesses around the world.We help redefine lending practices, uncover and prevent fraud, simplify health care, 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, including financial services, health care, automotive, agribusiness, insurance and many more industry segments.Job DescriptionYou will be part of a very dynamic and fast?growing Analytics team at Experian Spain, and you will develop analytical solutions to the benefit of our clients and their customers.You will collect and analyze large datasets to uncover insights and create solutions that support organizational goals, in the field of credit life cycle, risk management, fraud modelling or marketing.Technical, analytical, and communication skills are needed to interpret data and influence decision?making.Main ResponsibilitiesImplement processes to clean, transform, and organize raw data for analysis.Enhance data delivery and automate manual processes to improve efficiency.Analyze large volumes of structured and unstructured data to identify trends and patterns.Create visual reports to clarify business pain points.Use data/analytical platforms such as Databricks, Cloudera, Snowflake.Apply statistical techniques to validate findings and ensure accuracy.Develop machine learning models and predictive algorithms to solve business problems.Utilize programming languages and domain?specific tools for analysis.Communicate with clients and other departments/divisions within Experian to ensure accurate and timely implementation of project work.Identify potential problems in the end?to?end process and take 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 tools.Strong proficiency in Python for data analysis, advanced analytics and automation, including Pandas, NumPy, and machine?learning 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, Snowflake).Knowledge of Power BI for creating interactive dashboards.Understanding of statistical techniques to address client business issues.An innovative and inquisitive mindset focused on addressing and solving data and analysis problems.Fluency in written and spoken English.Good to HaveKnowledge 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.Additional InformationExperian 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 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 tools. Strong proficiency in Python for data analysis, advanced analytics and automation, including Pandas, NumPy, and machine?learning 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, Snowflake). Knowledge of Power BI for creating interactive dashboards. Understanding of statistical techniques to address client business issues. An innovative and inquisitive mindset focused on addressing and solving data and analysis problems. Fluency in written and spoken English. Good to Have 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 a global data and technology company, powering opportunities for people and businesses around the world., 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 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.