Open to opportunities

Lluís Cierco

@lluscierco

Message

I build production machine learning systems that improve retention, revenue, and commercial decisions.

United Kingdom

Message

What I'm looking for

I'm looking to build and deploy machine learning and analytics solutions that translate data into measurable commercial impact, working closely with business teams across the full ML lifecycle.

At The Rank Group, I build production machine learning systems that improve customer retention and promotional efficiency. My churn solution increased retention by 15%, while customer lifetime value models help optimize personalized promotional spend.

I own the full ML lifecycle, from business scoping and model development through deployment, monitoring, retraining, and experimentation. I also built an LLM pipeline that extracts structured promotional data with 98% accuracy for downstream analytics and reporting.

Previously at Mars, I identified a 12% revenue growth opportunity through optimized in-store execution, developed product segmentation from cross-purchase data, and delivered commercial insights that influenced marketing and portfolio strategy. At Coca-Cola Europacific Partners, I increased campaign conversion by 7%, automated workflows that saved over 15 hours per week, and built the company’s most-used reporting dashboard.

I bring experience across machine learning, analytics, data engineering, NLP, MLOps, and commercial decision support, turning complex data into measurable business outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

The Rank Group

Nov 2025 - Present (9 months)

Improved customer retention by 15% through a churn prediction solution and developed CLV models to optimize promotional spend. Built an LLM-based pipeline for structured information extraction and designed an onboarding system for personalized interventions.

Machine Learning Churn Modeling Customer Lifetime Value LLM MLOps Python SQL Monitoring Experimentation

Data Scientist

Mars Inc

Jul 2023 - Nov 2025 (2 years 4 months)

Developed a machine learning model to identify key drivers of in-store execution performance, uncovering a 12% revenue growth opportunity. Delivered executive-level commercial insights and owned enhancement of vendor-provided ML models for media investment optimization.

Machine Learning Clustering NLP Python SQL Media Optimization Consumer Analytics

Data Scientist

Coca-Cola Europacific Partners

Jan 2020 - Jul 2023 (3 years 6 months)

Developed a geolocation solution to enrich customer base and a customer segmentation framework that increased campaign conversion by 7%. Owned Sales Force Effectiveness analytics and automated data processing workflows, reducing manual workload by over 15 hours per week.

Python SQL Power BI Clustering Geolocation Data Automation Reporting

Data Analyst

Coca-Cola Europacific Partners

Sep 2018 - Jan 2020 (1 year 4 months)

Conducted in-depth market analysis and assessed marketing campaign performance, providing strategic recommendations that optimized pricing tactics and improved campaign profitability. Performed territory analysis to guide resource allocation and sales coverage optimization.

Market Analysis Campaign Analysis ROI Analysis SQL Excel

Business Intelligence Consultant

Capgemini

Apr 2017 - Sep 2018 (1 year 5 months)

Developed scalable Python and SQL ETL pipelines for Hewlett-Packard, automating reporting and improving data quality for business analytics.

Python SQL ETL Data Quality Reporting

Education

Degrees, certifications, and relevant coursework

Universitat Politecnica de Catalunya

Master's in Industrial Engineering, Industrial Engineering

Master's in Industrial Engineering. Thesis on AI-driven detection of corrupted prenatal ultrasound images using deep learning, achieving over 90% accuracy.