Senior Data Scientist
15 hours ago
Armilla
ppExperian 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 realise their financial goals and help them save time and money. /ppWe operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. /ppWe 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 atexperianplc.com /ph3Job Description /h3pYou 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. /ph3Responsibilities /h3ulliData Processing: Implement processes to clean, transform, and organize raw data for analysis. /liliOptimization: Enhance data delivery and automate manual processes to improve efficiency. /liliData Analysis: Analyze large volumes of structured and unstructured data to identify trends and patterns. /liliData Visualization: Create visual reports to clarify business pain points. /liliBig data platforms: Use data/analytical platforms like Databricks, Cloudera, Snowflake. /liliStatistical Techniques: Use statistical techniques to validate findings and ensure accuracy. /liliMachine Learning: Develop machine learning models and predictive algorithms to solve business problems. /liliProgramming Skills: Apply programming languages and domain-specific tools for analysis. /liliCommunication: Communicate with clients and other departments/divisions within Experian to ensure accurate and timely implementation of project work. /liliProblem Solving: Identify potential problems in the end-to-end process and take ownership for the resolution. /li /ulh3Qualifications /h3ulli5 years of experience in statistical/analytical project work and/or work in the Financial services or Telco’s sectors. /liliDegree or equivalent in a related field such as computer science, data science, statistics, mathematics, or information technology, physics. /liliHigh PC literacy with thorough knowledge of statistical methods. /liliStrong proficiency in Python for data analysis, advanced analytics, and automation: Python with Pandas, NumPy, and machine learning packages. PySpark is a plus. /liliKnowledge of R, SQL is highly valued as an additional asset. /liliExperience with cloud-based data platforms (e.g., Databricks, Cloudera, Snowflake). /liliKnowledge of Power BI for creating interactive dashboards. /liliUnderstanding of statistical techniques that may be used to address client business issues. /liliAn innovative and inquisitive mind, focused on addressing and solving data and analysis problems. /liliFluency in written and spoken English. /li /ulh3Good to Have /h3ulliKnowledge or hands‑on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval. /liliFamiliarity with credit‑related topics (e.g., issuing, monitoring, Bureau data) and regulatory analytics frameworks (“Basel”, IFRS 9). /li /ulh3Benefits /h3ulliGreat compensation package and bonus plan. /liliCore benefits including Private Health Care and Experian wellness program. /liliFlexible schedule, hybrid model of teleworking. /liliFlexible time off including volunteer time off, personal leaves and paid holidays. /li /ulpExperian is proud to be an Equal Opportunity and affirmative action employer. Innovation is a critical 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. /p /p #J-18808-Ljbffr