Top Talent like Soukaina are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Soukaina Didi Alaoui

AI & Machine Learning Engineer
Product Manager
Product Analyst
Paris, IDF, FR
Management Consulting
Business Development
Analytics
Scheduling
Data Formatting
Data Visualization
Consulting
Google Sheets
Strategic Communications
Engineering
Mathematics
Team Management
Communication
Strategic Planning
Statistical Modeling
Business Analytics
PowerBI
Critical Thinking
Data Processing
Statistical Analysis
AI
Analytical Thinking
Data Science
ETL
Web Scrapping
Strategy & Business Development
Data Mining
Data Analysis
Available for hire fromNegotiable
Contracts
Fractional Head of Data & AI Strategy Consultant
I help organizations unlock business value from data by bridging strategy and execution with proven adaptability across industries, cultures, and scales. With 5+ years of experience across banking, compliance, and governance, I’ve designed data roadmaps, delivered impactful AI products, and aligned C-level, business, and IT stakeholders in both corporate and startup like environments (regulatory and international). I support organizations through three modes (full or part time): - Targeted expertise (less than 3 months) for strategic input or project supervision. - Project missions (3–6 months) to deliver POCs and data products from concept to production. - Strategic partnerships (6+ months) to transform data into lasting business impact with clear roadmaps and governance. What makes me different? My ability to adapt fast and lead across contexts from highly regulated banks to global sports institutions, from 1,000+ employee enterprises to small agile teams. My ambition: to be a trusted partner for leaders who want to turn data & AI into measurable outcomes, not just initiatives.

Work History

F

Data Product Manager

FIFA Clearing HouseSep 2023 - May 2025 • 1 yr 9 mosIn a cross-functional role, I led FCH's data strategy, building an analytics ecosystem to enhance operational efficiency, decision-making, risk controls & collaboration with FIFA. I oversaw end-to-end ownership of data initiatives, from governance to technical implementation, ensuring alignment with FCH goals. Supported by a team of consultants & intern who contributed to achieving these milestones. Key responsibilities & achievements - Defined and implemented a first year data roadmap and strategy for FCH - Led first steps of FCH Data Governance - Supported FCH’s Transformation initiatives, driving adoption of data-driven practices & automation - Design & implementation the current Cloud data platform : functional architecture & data models,.. - Built and optimized data pipelines for ETL purposes & historization management - Delivered strategic dashboards that : enabled operational steering, strengthened Risk and Compliance reporting, provided actionable insights and bridged FIFA and FCH operations. A shift in FCH management & steering journey. - Later on, I transitioned data products from operational tools to strategic enablers, driving prioritization and improved decision-making. - During FCH transformation phase, I ensured continuous collaboration with FCH’s international supplier (India, Netherlands & US) ensuring seamless delivery of features, reporting & cost control
L

Senior Data scientist

La Banque PostaleApr 2020 - Aug 2023 • 3 yrs 5 mosSenior Data Scientist at La Banque Postale's Data Factory. Data Factory is a cross-functional department within the bank, positioned as a Data solutions center. Missions accomplished : • Identity Fraud Detection - Deep Learning : Project enabling the detection of fraudsters using the same picture on different fraudulent ID documents: vectorization of images & distance computation, development of a GUI, management of fraudster groups (Networkx). • ESG - Data Science/Engineer - design & development : Design of data solution allowing data collection from providers on Legal entities (PMO), data transformation and ingestion into the datalake. Development of a smart engine to reconcile this new data with the internal one. Thus allowing the calculation of ESG score for each Legal entity. • Product appetence score - Machine Learning - Industrialized : Implementing a machine learning model able to learn behavior of legal entities profils to improve product recommendation for marketing campaigns. • AML/CFT risk profile - Industrialized : Development of risk scoring for Legal Entities (companies, organizations,...) AML/CFT = Anti-Money Laundering/Combating the Financing of Terrorism • Business Layer design - Data Engineering - industrialized : Design and development of various business layers for the bank and its subsidiaries. • Textual matching (retail) - Data Analysis/Science - industrialized : Use-case 1 : Duplicates detection in databases (custom fuzzy matching). Use-case 2 : Enrich internal retail database with INSEE's open-source data. • FATCA EAI - Data Analysis - industrialized: Implementation of SAS-SQL scripts for monthly/annual declarations for the tax department. • Management : - Supervision of Data team (interns and juniors) - Ensure the comprehension of business needs - Ensure a good modeling of data products - Supervision of projects deployment & incidents management Role Progression From intern to Junior to Senior data scientist
L

Data scientist intern

La Banque PostaleNov 2019 - Apr 2020 • 6 mosSix-month internship in the Data Valorization and Enhancement department at La Banque Postale. This role required a mix of autonomy and collaboration, leveraging tools and languages such as Python, PyTorch, Dataiku (Big Data platform), SAS, and SQL. Main accomplished missions Conducted extraction, exploration, and analysis of large datasets from diverse sources to address a variety of business requirements. Developed and applied unsupervised models and techniques for fraud detection, including clustering and isolation forest methods. Developed and implemented an initial Proof of Concept (POC) leveraging Deep Learning models to detect identity fraud by analyzing images of ID documents.
B

Assistant ingénieur en informatique

blgCloudFeb 2018 - Jul 2018 • 6 mos6-month internship as part of the academic program in computer engineering at the technological university of Compiègne. Key achievments : - Enhanced the company's web application by developing new features, including an improved search engine and a receipt management module. - Conducted JavaScript development. - Utilized a documented REST API to deliver different web products. - Contributed to Agile SCRUM workflows, collaborating within a united and motivated team to ensure rapid production deployment. Key Skills Developed: Software quality assurance, teamwork, adherence to technical documentation & work in an agile environment (SCRUM). Technical Environment: - Technologies: RequireJS, NodeJS, jQuery, WebSocket. - Tools: PhpStorm/WebStorm, NPM/Yarn, Linux development environment.

Education

U

Université de Technologie de Compiègne (UTC)

Engineer, Computer science2016 - 2020
L

Lycée Louis Thuillier à Amiens, France

Physique, chimie et sciences de l'ingénieur2014 - 2016
L

Lycée Moulay Youssef à Rabat, Maroc

Baccalauréat, Physique - Chimie2011 - 2014

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Fractional Head of Data & AI Strategy Consultant
I help organizations unlock business value from data by bridging strategy and execution with proven adaptability across industries, cultures, and scales. With 5+ years of experience across banking, compliance, and governance, I’ve designed data roadmaps, delivered impactful AI products, and aligned C-level, business, and IT stakeholders in both corporate and startup like environments (regulatory and international). I support organizations through three modes (full or part time): - Targeted expertise (less than 3 months) for strategic input or project supervision. - Project missions (3–6 months) to deliver POCs and data products from concept to production. - Strategic partnerships (6+ months) to transform data into lasting business impact with clear roadmaps and governance. What makes me different? My ability to adapt fast and lead across contexts from highly regulated banks to global sports institutions, from 1,000+ employee enterprises to small agile teams. My ambition: to be a trusted partner for leaders who want to turn data & AI into measurable outcomes, not just initiatives.

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top Talent like Soukaina are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Soukaina Didi Alaoui

AI & Machine Learning Engineer
Product Manager
Product Analyst
Paris, IDF, FR
Management Consulting
Business Development
Analytics
Scheduling
Data Formatting
Data Visualization
Consulting
Google Sheets
Strategic Communications
Engineering
Mathematics
Team Management
Communication
Strategic Planning
Statistical Modeling
Business Analytics
PowerBI
Critical Thinking
Data Processing
Statistical Analysis
AI
Analytical Thinking
Data Science
ETL
Web Scrapping
Strategy & Business Development
Data Mining
Data Analysis
Available for hire fromNegotiable
Contracts

Work History

F

Data Product Manager

FIFA Clearing HouseSep 2023 - May 2025 • 1 yr 9 mosIn a cross-functional role, I led FCH's data strategy, building an analytics ecosystem to enhance operational efficiency, decision-making, risk controls & collaboration with FIFA. I oversaw end-to-end ownership of data initiatives, from governance to technical implementation, ensuring alignment with FCH goals. Supported by a team of consultants & intern who contributed to achieving these milestones. Key responsibilities & achievements - Defined and implemented a first year data roadmap and strategy for FCH - Led first steps of FCH Data Governance - Supported FCH’s Transformation initiatives, driving adoption of data-driven practices & automation - Design & implementation the current Cloud data platform : functional architecture & data models,.. - Built and optimized data pipelines for ETL purposes & historization management - Delivered strategic dashboards that : enabled operational steering, strengthened Risk and Compliance reporting, provided actionable insights and bridged FIFA and FCH operations. A shift in FCH management & steering journey. - Later on, I transitioned data products from operational tools to strategic enablers, driving prioritization and improved decision-making. - During FCH transformation phase, I ensured continuous collaboration with FCH’s international supplier (India, Netherlands & US) ensuring seamless delivery of features, reporting & cost control
L

Senior Data scientist

La Banque PostaleApr 2020 - Aug 2023 • 3 yrs 5 mosSenior Data Scientist at La Banque Postale's Data Factory. Data Factory is a cross-functional department within the bank, positioned as a Data solutions center. Missions accomplished : • Identity Fraud Detection - Deep Learning : Project enabling the detection of fraudsters using the same picture on different fraudulent ID documents: vectorization of images & distance computation, development of a GUI, management of fraudster groups (Networkx). • ESG - Data Science/Engineer - design & development : Design of data solution allowing data collection from providers on Legal entities (PMO), data transformation and ingestion into the datalake. Development of a smart engine to reconcile this new data with the internal one. Thus allowing the calculation of ESG score for each Legal entity. • Product appetence score - Machine Learning - Industrialized : Implementing a machine learning model able to learn behavior of legal entities profils to improve product recommendation for marketing campaigns. • AML/CFT risk profile - Industrialized : Development of risk scoring for Legal Entities (companies, organizations,...) AML/CFT = Anti-Money Laundering/Combating the Financing of Terrorism • Business Layer design - Data Engineering - industrialized : Design and development of various business layers for the bank and its subsidiaries. • Textual matching (retail) - Data Analysis/Science - industrialized : Use-case 1 : Duplicates detection in databases (custom fuzzy matching). Use-case 2 : Enrich internal retail database with INSEE's open-source data. • FATCA EAI - Data Analysis - industrialized: Implementation of SAS-SQL scripts for monthly/annual declarations for the tax department. • Management : - Supervision of Data team (interns and juniors) - Ensure the comprehension of business needs - Ensure a good modeling of data products - Supervision of projects deployment & incidents management Role Progression From intern to Junior to Senior data scientist
L

Data scientist intern

La Banque PostaleNov 2019 - Apr 2020 • 6 mosSix-month internship in the Data Valorization and Enhancement department at La Banque Postale. This role required a mix of autonomy and collaboration, leveraging tools and languages such as Python, PyTorch, Dataiku (Big Data platform), SAS, and SQL. Main accomplished missions Conducted extraction, exploration, and analysis of large datasets from diverse sources to address a variety of business requirements. Developed and applied unsupervised models and techniques for fraud detection, including clustering and isolation forest methods. Developed and implemented an initial Proof of Concept (POC) leveraging Deep Learning models to detect identity fraud by analyzing images of ID documents.
B

Assistant ingénieur en informatique

blgCloudFeb 2018 - Jul 2018 • 6 mos6-month internship as part of the academic program in computer engineering at the technological university of Compiègne. Key achievments : - Enhanced the company's web application by developing new features, including an improved search engine and a receipt management module. - Conducted JavaScript development. - Utilized a documented REST API to deliver different web products. - Contributed to Agile SCRUM workflows, collaborating within a united and motivated team to ensure rapid production deployment. Key Skills Developed: Software quality assurance, teamwork, adherence to technical documentation & work in an agile environment (SCRUM). Technical Environment: - Technologies: RequireJS, NodeJS, jQuery, WebSocket. - Tools: PhpStorm/WebStorm, NPM/Yarn, Linux development environment.

Education

U

Université de Technologie de Compiègne (UTC)

Engineer, Computer science2016 - 2020
L

Lycée Louis Thuillier à Amiens, France

Physique, chimie et sciences de l'ingénieur2014 - 2016
L

Lycée Moulay Youssef à Rabat, Maroc

Baccalauréat, Physique - Chimie2011 - 2014

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
Pangea empowers fractional work across the world for marketing and design roles.