ADAna Daglis
Greater London, England, United Kingdom · engineerAna Daglis is a London-based data scientist who represented Lithuania at the 52nd International Mathematical Olympiad (IMO) in 2011, earning an Honourable Mention. She studied Mathematics at the University of Cambridge (2012-2015) and completed an MSc in Applied Statistics at the University of Oxford (2015-2016). She has worked as a data scientist at Farfetch (2017-2024), rising from Junior Data Scientist to Data Scientist on pricing, recommendation and customer-behaviour models, and since 2024 as Senior Data Scientist at Blue Light Card, where she is 'setting up the foundations of Data Science'. Her public work includes talks on causal inference in R and clustering relational data.
Her public footprint is professional and low-volume: a single substantive LinkedIn post announcing Farfetch joining the PyData community, and two technical SlideShare decks (causal inference in R; clustering relational data). This suggests a practitioner who shares technical work through talks rather than an active social-media presence; no X/Twitter or personal blog was found.
- Her LinkedIn headline currently reads 'On sabbatical | Open to the right opportunity', indicating she is between roles / actively exploring as of late 2025-2026 despite the 2024 Blue Light Card role.2026
- Represented Lithuania at the 52nd IMO (2011) as one of six team members, scoring 9 points (rank 378, 33rd percentile) and taking an Honourable Mention, with full marks P1=7.Jul 2011
- Joined Blue Light Card in 2024 as Senior Data Scientist to 'set up the foundations of Data Science', i.e. a first-data-science-hire style greenfield role building the function from scratch.2024
- Built a seven-year tenure at Farfetch (2017-2024), progressing Junior Data Scientist to Data Scientist; led the pricing model and productionised customer-behaviour/recommendation models, a rare case of one company carrying a whole early career.2024
- IMO 2011 immediately precedes her Cambridge mathematics degree (2012-2015), the classic trajectory of an Olympiad medalist moving into a top mathematics programme.Jul 2011
- Moved from a Cambridge mathematics degree into an MSc in Applied Statistics at Oxford (2015-2016), deliberately pivoting from pure maths toward applied statistics.Sep 2016
- Her IMO teammates were Linas Klimavičius, Motiejus Valiūnas, Elena Dulskytė, Edvard Poliakov and Paulius Virbalas; team led by Artūras Dubickas with deputy Romualdas Kašuba.Jul 2011
- Spent 2015 as a summer research intern at Lancaster University's STOR-i centre implementing an MCMC community-detection algorithm, and 2014 at Dstl (DAMTP, Cambridge) on fluid-dynamics experiments, indicating early research exposure before industry.2015
- Authored public technical decks 'Causal Inference in R' (21 slides) and 'Clustering Relational Data using the Infinite Relational Model' (29 slides), showing applied interest in causal inference and Bayesian relational modelling.
- Appears in Companies House records associated with London Social Hiking Limited, suggesting a side involvement in a London hiking community alongside her data career.
- Maintains a ResearchGate profile under University of Oxford, Department of Statistics, listing expertise in probability and mathematical statistics - a public academic trace alongside her industry role.
- Developed and productionised customer behaviour and recommendation models (propensity to convert, gender prediction, brand and category affinity, markdown preference, etc.), whic
- Main contributor to the pricing model, recommending product prices based on product performance, stock levels and competitors’ prices. Measured the impact of price changes using
- Analysed Nectar loyalty card data to understand customer behaviour and provide insight and recommendations to our Nectar partners (eBay, Oxfam and PhotoBox). - Delivered analytic
- Worked on a research project, which implemented from scratch a Markov chain Monte Carlo based algorithm to identify communities in networks. - Produced an academic poster and gav
- Designed, performed and analysed experiments in fluid dynamics. - Produced a written report, summarising and interpreting the results. My findings were included in the annual rep
Setting up the foundations of Data Science. Blue Light Card is the UK's largest discount provider for the emergency services, NHS, social care sector and armed forces. We partner
Farfetch joins the PyData community
Competition record
Lithuania · IMO