Data Scientist

Experian Health; Granada; Presencial; EUR 42.000 - 64.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Great compensation package and bonus

Private Health Care

Hybrid model of teleworking

Flexible time off and holidays

Descripción de la vacante

Experian Spain is seeking a data analytics professional to develop analytical solutions for clients and their customers. You will collect and analyze large datasets, build insights, and create solutions across credit life cycle, risk, fraud, and marketing domains.

You will leverage Python, SQL, Power BI, and cloud platforms like Databricks/Cloudera/Snowflake to deliver automated data processes, dashboards, and models.

Formación

• 2–3 years of experience in statistical or analytical project work across financial services, telecoms, retail, tech or consulting.
• Degree or equivalent in a related field such as computer science, data science, statistics, mathematics, information technology, or physics.
• Strong proficiency in Python for data analysis, advanced analytics and automation (Pandas, Numpy; ML packages). Knowledge of PySpark, TensorFlow or PyTorch is a plus.
• Knowledge of R, SQL, and SQL Server is valued as an asset.
• Experience with cloud-based data platforms (Databricks, Cloudera, Snowflake).
• Knowledge of Power BI for interactive dashboards.
• Fluency in written and spoken English.

Responsabilidades

• Data Processing: clean, transform, and organize raw data for analysis.
• Optimization: automate and improve data delivery and processes.
• Data Analysis: analyze large volumes of structured and unstructured data to identify trends.
• Data Visualization: create visual reports to clarify business pain points.
• Big data platforms: work with Databricks, Cloudera, Snowflake.
• Statistical Techniques: apply methods to validate findings.
• Machine Learning: develop models and predictive algorithms.
• Programming: apply programming languages and tools for analysis.
• Communication: coordinate with clients and internal teams to implement projects.
• Problem solving: own end-to-end resolution of issues.

Conocimientos

Fluency in English

Python for data analysis

SQL

Communication

Machine learning concepts

Data analysis

Educación

Degree in computer science/data science/statistics/mathematics/information technology/physics

Herramientas

Databricks

Cloudera

Snowflake

Power BI

TensorFlow

PyTorch

Pandas

Numpy

SQL Server

Descripción del empleo

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. Learn more at experianplc.com.

Job Description

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.

Responsibilities

• Data 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: Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project work
• Solving problems: Identify potential problems in the end‑to‑end process and take ownership for the resolution

Qualifications

• 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 an 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
• Good to have: Knowledge or hands‑on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval.

Benefits

• 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

Equal Opportunity

Experian is proud to be an Equal Opportunity and Affir‑Mative 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 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.