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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Experian - **Location:** Granada, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Big Data, Computer Programming, Computer Literacy, Data Visualization, Information Retrieval, Python (Programming Language), Machine Learning, NumPy, Raw Data, Power BI, Cloudera, SQL Databases, Unstructured Data, Cloud Platform System, Large Language Models, Snowflake, Prompt Engineering, Generative AI, Pandas, Pyspark, Information Technology, Data Management, Data Delivery, Databricks, Programming Languages - **Published:** July 27, 2026 - **Apply:** https://www.buscojobs.com.es/senior-data-scientist-en-granada-ID-364559408 ## About the Role Qualifications5 years of experience in 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. High PC literacy with thorough knowledge of statistical methods. Strong proficiency in Python for data analysis, advanced analytics, and automation: Python with Pandas, NumPy, and machine learning packages. PySpark is a plus. Knowledge of R, SQL 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 that 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 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). ## Description 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.Desplácese hacia abajo para ver todos los requisitos del puesto y las responsabilidades que pueden esperar los candidatos seleccionados.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 moreJob 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: Implement processes to clean, transform, and organize raw data for analysis.Optimization: Enhance data delivery and automate manual processes to improve efficiency.Data Analysis: Analyze large volumes of structured and unstructured data to identify trends and patterns.Data Visualization: Create visual reports to clarify business pain points.Big data platforms: Use data/analytical platforms like Databricks, Cloudera, Snowflake.Statistical Techniques: Use statistical techniques to validate findings and ensure accuracy.Machine Learning: Develop machine learning models and predictive algorithms to solve business problems.Programming Skills: Apply programming languages and domain-specific tools for analysis.Communication: Communicate with clients and other departments/divisions within Experian to ensure accurate and timely implementation of project work.Problem Solving: Identify potential problems in the end-to-end process and take ownership for the resolution.Qualifications5 years of experience in 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.High PC literacy with thorough knowledge of statistical methods.Strong proficiency in Python for data analysis, advanced analytics, and automation: Python with Pandas, NumPy, and machine learning packages.PySpark is a plus.Knowledge of R, SQL 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 that 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 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).BenefitsGreat 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 affirmative action employer.Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success.xcskxlj 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 ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Vectorize all the things! 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