BUSINESS INTELLIGENCE SPECIALIST

The Business Intelligence area, part of the Strategy, Marketing, and Customer Experience Vice-Presidency at Datacrédito Experian, aims to transform data into strategic information for decision-making. This role involves developing and maintaining predictive and prescriptive models to anticipate behaviors, optimize processes, and guide strategic business decisions in commercial, product, marketing, and customer experience areas. The specialist will design, implement, and scale advanced analytical solutions to generate competitive advantage, transforming data into actionable insights and prospective scenarios for corporate strategy.

Must Have

• Develop and maintain predictive and prescriptive models for sales, demand, churn, and customer behavior.
• Automate data ingestion, model training, and scoring pipelines.
• Evaluate, validate, and monitor model performance in production.
• Translate complex analytical results into clear insights and strategic recommendations.
• Collaborate with key stakeholders to understand needs and transform them into valuable analytical solutions.
• Minimum 3 years of experience developing predictive and prescriptive models in corporate or consulting environments.
• Proficiency in programming languages like Python (scikit-learn, TensorFlow, PyTorch) or R.
• Advanced SQL skills for data manipulation and analysis.
• Knowledge of MLOps: deployment, versioning, and monitoring of models in production.
• Experience with automation of data and model pipelines (ETL/ELT, Airflow, MLflow, dbt).

Good to Have

• Postgraduate degree in Data Science, Machine Learning, Advanced Analytics, or related fields.
• Experience in technology, financial services, or data-intensive industries.
• Knowledge in Artificial Intelligence applications in Business Intelligence.
• Intermediate-advanced English proficiency (for technical documentation and global team conversations).

Perks & Benefits

• Focus on Diversity, Equity, and Inclusion (DEI)
• Work-life balance initiatives
• Opportunities for professional development
• Culture of authenticity, engagement, and collaboration
• Well-being programs
• Reward and recognition programs
• Volunteering opportunities
• Recognized as a Great Place To Work™ in 24 countries
• Listed among FORTUNE Best Companies to Work
• Rated highly on Glassdoor Best Places to Work (globally 4.4 stars)
• Equal opportunities and affirmative action employer
• Support for disabilities or special needs requiring accommodations

Company Description

Experian is a global data and technology company that drives opportunities for people and businesses worldwide. We help redefine lending practices, discover 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 in achieving their financial goals and help them save time and money.

We operate in a variety of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many other industrial 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 in 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Job description

Area overview: The Business Intelligence area is part of the Strategy, Marketing, and Customer Experience Vice-Presidency. Its mission is to transform data into strategic information for decision-making, generating value through analysis of prospects, clients, and products, data visualization, segmentation, commercial intelligence, and advanced analytics. This area works transversally with teams from the same Vice-Presidency such as Digital, Go to Market, CRM, Branding, and CX, as well as with other business areas such as Product, Commercial, Finance, Consulting, Data, and Operations.

Purpose of the role: Develop and maintain predictive and prescriptive models that allow anticipating behaviors, optimizing processes, and guiding strategic business decisions in the commercial, product, marketing, and customer experience areas. The role will be responsible for designing, implementing, and scaling advanced analytical solutions that generate competitive advantage, transforming data into actionable knowledge and prospective scenarios that guide the corporate strategy at Datacrédito Experian.

Deliverables:

• Predictive models for sales, demand, churn, purchase propensity, customer scoring, and campaign optimization.
• Prescriptive models and “what-if” scenario simulations to support business decisions.
• Executive reports with actionable insights derived from the models, translated into strategic recommendations.
• Automated pipelines for model training, validation, deployment, and monitoring (complete lifecycle).
• Technical documentation and interpretation guides to facilitate the adoption and strategic use of the models.
• Contribution to high-impact projects where advanced analytics is a key enabler of growth and efficiency.

Responsibilities of the role:

• Design, build, and maintain predictive and prescriptive models applied to business problems (sales, marketing, product, customer experience).
• Automate data ingestion, training, and scoring processes for models, ensuring scalability and efficiency.
• Evaluate, validate, and monitor the performance of models in production, proposing continuous improvements.
• Translate complex results into clear insights and strategic recommendations for executives and business teams.
• Collaborate with key stakeholders to understand their needs and transform them into valuable analytical solutions.
• Stay updated on trends in advanced analytics, AI, and machine learning, applying relevant innovations to the business.

What are we looking for?

Education: Professional in Statistics, Mathematics, Engineering, Computer Science, Economics, or other quantitative areas. Postgraduate degree in Data Science, Machine Learning, Advanced Analytics, or related fields (desirable).

Experience: Minimum 3 years developing predictive and prescriptive models in corporate or consulting environments, experience applying machine learning and advanced analytics to business problems, desirable experience in technology, financial services, or data-intensive industries.

Required technical knowledge:

• Programming languages: Python (scikit-learn, TensorFlow, PyTorch) or R.
• Modeling techniques: regression, classification, clustering, time series analysis, decision trees, boosting, deep learning, mathematical optimization.
• Advanced SQL for manipulation and analysis of large volumes of data.
• Automation of data and model pipelines (ETL/ELT, Airflow, MLflow, dbt, etc.).
• Knowledge of MLOps: deployment, versioning, and monitoring of models in production.
• Familiarity with visualization tools (Power BI, Tableau, Looker) to communicate results.
• Knowledge in marketing analytics, customer portfolio, and user behavior prediction. Knowledge in Artificial Intelligence applications in Business Intelligence. (Desirable)

Languages: Intermediate – advanced English (ability to read technical documentation and participate in conversations with global teams) (desirable)

Competencies:

• Analytical and strategic thinking, with the ability to anticipate trends and recommend action scenarios.
• Proactivity and curiosity, constantly exploring new analytical techniques and methodologies.
• Clear and persuasive communication, capable of explaining complex models to non-technical executive audiences.
• Results-oriented, ensuring that models generate tangible impact on business decisions.
• Innovation and continuous improvement, applying the latest trends in AI and advanced analytics.
• Comprehensive business vision, understanding how each model can enable strategic objectives.

Qualifications

Qualifications

• Machine Learning
• Predictive/Prescriptive Models
• Python & R
• Advanced SQL
• MLOps & Pipelines
• Advanced Statistics

Additional Information

Our uniqueness is that we celebrate what makes us different. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what really matters: DEI, work-life balance, development, authenticity, engagement, collaboration, well-being, reward and recognition, volunteering... and the list goes on. Experian's strong people-first approach has been recognized: 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. Take a look at Experian Life on social media or our careers site to understand why.

Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a fundamental part of Experian's DNA and practices, and the diversity of our workforce drives our success. Everyone can succeed at Experian and bring their whole selves regardless of gender, ethnicity, religion, color, sexuality, physical ability, or age. If you have any disability or special needs that require accommodations, please let us know as soon as possible.

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