Available to hire
I’m Emma Lidén, a Senior Data Scientist Consultant with fifteen years of experience helping global companies turn data into smarter decisions. I specialize in predictive modeling, customer segmentation, and optimization to drive measurable business impact across retail and beyond.
I thrive in both consultancy and in-house R&D environments, developing innovative products and methodologies. I’m known for translating complex analytics into actionable insights, collaborating effectively with teams, and delivering reliable, scalable data solutions.
Skills
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Language
English
Fluent
Swedish
Fluent
Spanish; Castilian
Beginner
Work Experience
Independent Senior Data Scientist (Consultant) at Kandy Labs AB
January 1, 2020 - PresentIndependent consultant delivering data science projects primarily within the retail sector for clients worldwide. Focus on predictive modelling and customer segmentation. Primary languages SQL and Python with some familiarity in PySpark.
Senior Data Science Consultant at Sopra Steria
July 1, 2017 - December 1, 2019Provided analytics consultancy services to clients across various sectors, typically collaborating onsite to enhance communication. Gained familiarity with Microsoft analytics products, including PowerBI, and obtained accreditation from the Microsoft Professional Program for Data Science.
Data Science Manager at Aimia
April 1, 2016 - July 1, 2017Undertook R&D analytical projects designed as initial phases of larger company projects. Assumed leadership role as line manager for junior analysts.
Lead Data Analyst at Aimia
May 1, 2014 - April 1, 2016Led advanced analytics projects for international retail clients. Developed proficiency in Python, GitHub, and AWS for streamlined analytic processes. Implemented macro space optimization, churn modeling, and time series forecasting for promotional analysis.
Senior Data Analyst at Aimia
August 1, 2012 - May 1, 2014Engaged with a major UK retailer on short-term analytical projects addressing daily operational inquiries. Managed stakeholder relationships to ensure project goals and objectives were met. Enhanced technical skills in R, GitHub, and data storytelling.
Data Analyst at EYC
January 1, 2010 - August 1, 2012Analyzed large transaction datasets from retailers to identify trends and inform strategic decisions. Collaborated with team to master critical data science skills (Excel, SQL, SAS). Developed multiple customer segmentations for retail clients.
Education
BSc in Economics and Mathematics at University of York
January 1, 2005 - January 1, 2008MSc in Social Research Methods at London School of Economics
January 1, 2008 - January 1, 2009Qualifications
Microsoft Professional Program for Data Science
January 11, 2030 - January 8, 2026Industry Experience
Retail, Professional Services, Software & Internet
Skills
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