SAMAH ALKAYED
London,United Kingdom
Summary
Commercially minded Data Scientist with over 4 years of experience turning complex business problems into high-impact machine learning solutions. Proven expertise in building, deploying, and maintaining models that drive efficiency and profitability. Experienced in working end-to-end on ML projects, from translating stakeholder requirements into technical solutions to supporting deployment and adoption. Skilled in Python, SQL, cloud platforms (Azure), and MLOps principles, with a strong track record of communicating insights to both technical and non-technical audiences.
Overview
10
10
years of professional experience
6
6
years of post-secondary education
Work history
Service data scientist
Elekta
Crawley, United Kingdom
2025.10 - 2026.02
- Translated business needs into ML solutions by implementing association rule mining to analyse 1,000+ component records, identifying failure patterns and reducing repeat investigations by ~25%, directly improving operational efficiency.
- Built and delivered a predictive maintenance use case, analysing maintenance logs to forecast equipment faults, detailing impact on resolution time, cost, and downtime for stakeholder decision-making.
- Drove commercial outcomes by identifying the lowest-margin 20% of products and implementing targeted strategies, increasing Service Variable Margin from 71% to 74%.
Technical data scientist
Croda International
Goole, United Kingdom
2021.10 - 2025.10
- Owned end-to-end ML projects: Built a customer churn prediction model using regression/classification techniques on 10k+ records, enabling targeted retention campaigns that reduced churn by 10-15%.
- Applied time series forecasting (ARIMA/prophet techniques) to predict product-level demand, improving forecast accuracy by 15-20% and directly informing inventory and supply chain planning.
- Designed and deployed a computer vision pipeline to automate seed size classification, reducing manual effort by ~40% and enhancing process consistency—demonstrating the ability to operationalise ML solutions.
- Collaborated with cross-functional teams (engineering, commercial) to ensure models were aligned with business processes and data architecture.
Territory Sales Representative
Autodesk
Amman, Jordan
2016.08 - 2018.08
- Developed strong commercial acumen and stakeholder relationship skills, managing 120+ accounts and exceeding sales targets by 15% through tailored solutions and client collaboration.
- Gained valuable experience in a client-facing, results-driven environment, foundational for understanding business needs in e-commerce/retail.
Education
Master of data science and artificial intelligence -
Data ScienceTech Institute
Paris, France 2020.01 - 2021.01
Bachelor of architecture - undefined
University of Jordan
Amman, Jordan 2010.01 - 2015.01
Skills
Technical Skills:
Python SQL Azure Machine Learning (Regression, Classification, Clustering, Time Series Forecasting, Dimensionality Reduction) Predictive Modelling Statistical Analysis Association Rule Mining Computer Vision Data Warehousing Concepts MLOps Exposure Databricks
Business & Soft Skills:
Commercial Acumen Stakeholder Collaboration Translating Business Requirements into Technical Solutions Cross-functional Teamwork Problem Solving Communicating Complex Insights to Non-Technical Audiences Project Delivery Client Relationship Management
LANGUAGES
Arabic (Advanced)
English (Advanced)
Affiliations
- A dedicated fitness enthusiast with a personal obsession for optimizing training, nutrition, and recovery. This passion fuels my professional interest in leveraging data to decode and advance human performance.
Timeline
Service data scientist
Elekta
2025.10 - 2026.02
Technical data scientist
Croda International
2021.10 - 2025.10
Master of data science and artificial intelligence -
Data ScienceTech Institute
2020.01 - 2021.01
Territory Sales Representative
Autodesk
2016.08 - 2018.08
Bachelor of architecture - undefined
University of Jordan
2010.01 - 2015.01