Senior Data Scientist

OverviewCompany DescriptionExperian 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.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.comJob 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.ResponsibilitiesData Processing: Implementing processes to clean, transform, and organize raw data for analysisOptimization: Enhancing data delivery and automating manual processes to improve efficiencyData Analysis: Analyzing large volumes of structured and unstructured data to identify trends and patternsData Visualization: Creating visual reports to clarify business pain pointsBig data platforms: Using data/analytical platforms like Databricks, ClouderaStatistical Techniques: Using statistical techniques to validate findings and ensure accuracyMachine Learning: Developing machine learning models and predictive algorithms to solve business problemsProgramming Skills: Applying programming languages and domain-specific tools for analysisCommunication: Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project workSolving problems: Identify potential problems in the end to end process and take ownership for the resolutionQualifications5 years of experience of statistical/analytical project work and/or work in the Financial services or Telco’s sectorsDegree 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 statisticalStrong proficiency in Python for data analysis, advanced analytics and automation: Python with Pandas, Numpy and Machine Learning Packages and IT packages.PySpark is an a plusKnowledge of R, SQL is highly valued as an additional assetExperience with cloud-based data platforms (e.g., Databricks, Cloudera, and Snowflake)knowledge of Power BI for creating interactive dashboardsUnderstanding of statistical techniques which may be used to address client business issuesAn innovative and inquisitive mind, focused on addressing and solving data and analysis problemsFluency in written and spoken EnglishGood to haveKnowledge or hands-on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval.Familiarity with credit-related topics (e.g., issuing, monitoring, Bureau data) and regulatory analytics frameworks (“Basel”, IFRS 9).Benefits/PerksGreat compensation package and bonus planCore benefits including Private Health Care and Experian wellness programFlexible schedule, hybrid model of teleworkingFlexible time off including volunteer time off, personal leaves and paid holidaysAdditional InformationProud to be a Worlds Best Workplace **Our uniqueness is that we celebrate yours.Experian's culture and people are main differentiators.We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering… the list goes on.Experian's people first approach is award-winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) 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 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 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.Experian Careers - Creating a better tomorrow togetherFind out what its like to work for Experian by clicking here#J-***-Ljbffr

5 years of experience of statistical/analytical project work and/or work in the Financial services or Telco’s 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 is an a plus Knowledge of R, SQL 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 Good to have Knowledge or hands-on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval. Familiarity with credit-related topics (e.g., issuing, monitoring, Bureau data) and regulatory analytics frameworks (“Basel”, IFRS 9).

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. 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. 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., You 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., Experian's culture and people are main differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering… the list goes on. Experian's people first approach is award-winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) 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 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 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. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here #J-*****-Ljbffr