Senior Analytics/Data Science Consultant at Experian

Madrid, Community of Madrid, Spain -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Problem Solving, Analytical Skills, Data Structures, Regression Models, XGBoost, Neural Networks, SVM, Ensemble Methods, Machine Learning, Data Mining, Text Mining, Model Validation, Client Relationship Management, Teamwork, Knowledge Sharing

Industry

Information Services

Description

Company 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 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 We are seeking a Senior Analytics & Data Science Consultant to play a pivotal role in our growing EMAP Data Science team. This position is ideal for a highly skilled professional passionate about advanced analytics, innovation, and delivering impactful solutions to clients. Role Purpose The primary objective of this role is to lead advanced research and development initiatives, strengthen client relationships, acquire strategic datasets, and deliver innovative solutions through product prototyping. You will focus on: This involves designing and refining advanced algorithms and applying them to large datasets to solve complex business challenges. The successful candidate will manage multiple projects simultaneously, anticipate obstacles, and deliver high-quality results within tight timelines. Key Responsibilities Technical Expertise Problem Solving & Innovation Client & Internal Relationship Management Teamwork & Knowledge Sharing Required Knowledge & Skills Experience Evaluating and acquiring new data assets Developing new product prototypes Providing sales support and consultancy Analyze, process, 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 Make independent decisions to develop new approaches and resolve uncertainty in complex scenarios Establish best practices for leveraging Experian and client data to generate insights Define business assumptions for relevant solutions Create state-of-the-art materials for knowledge sharing and roundtable discussions Lead initiatives to enhance client analytical solutions, data quality, model performance, and project timelines Drive team efforts to identify optimal solutions Share expertise and continuously improve departmental contributions Provide mentoring within project teams Advocate for analytics through publications and presentations Proficiency in Python Strong problem-solving and analytical skills Deep understanding of data structures and their applications in marketing, risk, and customer management Familiarity with regression models, XGBoost, neural networks, SVM, and ensemble methods Excellent organizational and time management skills Ability to monitor market trends and industry developments Proven track record of working independently with a pragmatic approach while being an effective team player Strong communication skills for technical reporting and presentations Experience in defining scope and delivering customized analytics projects Expertise in applying advanced algorithms to solve practical business problems Qualifications Qualifications Statistics Computer Science Machine Learning AI Programming Python Additional Information Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 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 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. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Responsibilities

Lead advanced research and development initiatives while managing multiple projects simultaneously. Design and refine advanced algorithms to solve complex business challenges and deliver innovative solutions to clients.