Data Scientist

Experian; Madrid; Ibrido; EUR 60.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Personal development

Flexible working hours

Health insurance

Sharesave plan

Descrizione del lavoro

Experian is seeking a Data Scientist to join the EMAP Data Science team, focusing on advanced analytics, innovation, and delivering impactful solutions for clients. The role requires expertise in programming, data engineering, statistical modelling, machine learning, and Generative AI to transform data into actionable insights.

You will collaborate with clients and internal stakeholders, design analytical products, and deliver scalable analytics solutions that address complex business

Competenze

• Strong foundation in statistics and data analysis.
• Experience with ML methods and AI applications.
• Proficiency in Python programming for data science tasks.

Mansioni

• Evaluate and acquire new data assets
• Develop new product prototypes
• Provide sales support and consultancy
• Analyze, and document large datasets
• Apply machine learning, data mining, and text mining techniques
• Validate model and score performance
• Document and present modeling processes and outcomes
• Lead programs to enhance client analytical solutions, data quality, model performance, and project timelines
• Mentor team members and promote analytics
• Publish and present analytics insights

Conoscenze

Statistics

Computer Science

Machine Learning

AI

Programming

Python

Descrizione del lavoro

Role Overview

We are seeking aData Scientistto play a pivotal role in our growing EMAP Data Science team. This position is ideal for an accomplished professional passionate about advanced analytics, innovation, and delivering impactful solutions to clients.

Role Purpose

The primary goal of this role is to design, develop, and deliver innovative data science solutions that address complex business challenges and create measurable value for our clients. The successful candidate will combine expertise in programming, data engineering, statistical modelling, machine learning, and Generative AI to transform data into actionable insights and scalable solutions.

Working closely with clients and internal stakeholders, you will identify opportunities, strengthen strategic relationships, and develop analytical products and prototypes that support data-driven decision making and business growth. You will leverage large and diverse datasets, anticipate challenges, and deliver high-quality solutions that generate tangible impact.

Responsibilities

• Evaluate and acquire new data assets
• Develop new product prototypes
• Provide sales support and consultancy
• Analyze, and document large datasets
• Apply machine learning, data mining, and text mining techniques to extract value from data
• Validate model and score performance
• Document and present modeling processes and outcomes
• Design analytical solutions for internal and external clients to address business problems.Design and deliver scalable analytics and AI solutions for internal and external clients to solve complex business challenges.
• Make independent decisions to develop new approaches and resolve uncertainty in complex scenarios
• Establish best practices for applying Experian and client data to create insights
• Define business assumptions for relevant solutions
• Create materials for knowledge sharing and roundtable discussions
• Lead programs to enhance client analytical solutions, data quality, model performance, and project timelines
• Guide team efforts to identify solutions
• Share expertise and improve departmental contributions
• Provide mentoring within project teams
• Advocate for analytics through publications and presentations
• Proficiency in Python
• Understanding of data structures and their applications in marketing, risk, and customer management
• Familiarity with regression models, XGBoost, neural networks, SVM, and ensemble methods
• 3+ years of experience in defining scope and delivering customized analytics projects
• Expertise in advanced algorithms to solve practical business problems

Experience and Skills

• Statistics
• Computer Science
• Machine Learning
• AI
• Programming
• Python

About Experian

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.

You will get:

• Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
• Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
• Social benefit package including food vouchers, health insurance, monthly flex allowance and internet coverage, Sharesave plan, Employee assistance program, and many other benefits!
• Opportunity for Flexible working hours and Home Office.

Experian is an Equal opportunity employer. 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.

#LI-Hybrid

This is a hybrid remote/in-office role.

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