About

Dr. Bettina E. Schirrmeister – Head of Data Science (MoneySuperMarket)

Welcome to my personal profile webpage. On Betty’s Blog I am introducing some basic coding solutions for data analysis and visualization. Also have a look at the Image gallery for some nice plots. Please feel free to have a look at my Linkedin Profile, and previous Research Project Webpage. You can also look out for me on dev.toKaggle, Stack Overflow, Codewars, Github and twitter .

Who am I?

BettySchirrmeister_crop

An enthusiastic, fast-learning, experienced scientist, with excellent communication skills. Following an exciting Academic career, I decided to explore professional Data Science, looking for ambitious challenges, eager to combine my experience in data munging, analytics and visualization with my problem solving skills and entrepreneurial spirit, to help making data-driven and, most of all, actionable decisions for innovative businesses.

Short Bio:

I completed a PhD at the University of Zurich in Evolutionary Genomics and computational biology in 2012. During two independent research fellowships at the University of Bristol, I was applying big data analytics on genomic next generation sequencing data to investigate the origin of life. At Royal Mail, I have been delivering exciting projects such as predicting delivery windows for 31M addresses in the UK, forecasting mail volumes for RM’s >1K offices, leading a team of 12 outstanding scientists during my last year there. I am, currently Head of Data Science Marketing at MoneySuperMarket focusing on optimising the effectiveness of MSM’s marketing strategies.

Latest Talks

2023 – Customer Insight Leader Podcast – featuring the transition from academia to commercial businesses. https://open.spotify.com/episode/75NDmQ78uJUpsLvY75rYxN

2022 – Operational Research Society, Annual Meeting (OR64), University or Warwick. https://www.youtube.com/watch?v=x6otcu6NLmE

Major achievements

  • Lead a team to build MLOps pipeline in GCP for smoother, faster e2e delivery. Pipeline involved DBT for better data quality control.
  • Lead a team of 12 extraordinary data scientists and ML engineers at Royal Mail. Building the foundations for  delivery of data products that have an impact on business performance: a highly skilled and functioning team, via career development paths, external engagement and experimenting with best ways of working.
  • Lead a team of 7 (data scientists and data engineers) to successfully implement the technical part for one of Royal Mails capital projects regarding predicting parcel delivery windows. Responsible for all technical-data science related aspects of the project, interacting with multiple teams within the business and communicating with major stakeholders.
  • Lead, developed and implemented a predictive project that has a savings potential of £6M for Royal Mail. Responsible for end to end solution, including communication to senior stakeholders.
  • Created a business case for two high impact research projects. Established an international, multi-disciplinary network, conducted POC studies, and held budgetary responsibility. Competitive research fellowships have been awarded at a total value of €355K (My University profile)
  • Various keynote talks at international conferences, included several awards for outstanding oral and visual presentation. (My presentations)
  • Frequent media coverage of my research. Latest article by BBC Earth online.
Education and Experience:

2022 – present Head of Data Science- MoneySuperMarket

2019 – 2021 Head of Data Science | Royal Mail – Advanced Analytics, London, UK
2019 – 2021 Senior Data Scientist |Royal Mail – Advanced Analytics – Group Business Intelligence, London, UK
2016 – 2019 Data Scientist | Royal Mail – Advanced Analytics – Group Business Intelligence, London, UK
2016 Data Science Fellow | Science to Data Science (S2DS; s2ds.org), London, UK
2016 Individual Postdoctoral Researcher | University of Bristol, UK [EU-Grant: Marie Curie Actions – project webpage: http://evoxyproject.wordpress.com ]
2014 Individual Postdoctoral Researcher | University of Bristol, UK [Swiss-Grant: Swiss National Science Fund]
2012 Doctor of Science (Dr.sc.nat.) | University of Zurich, Switzerland – Evolutionary Genetics, Computational Biology, Microbiology
2006 Master of Science (German: “Diplom”) | University of Munich, Germany – Statistical Population Genetics, Evolutionary Biology