Spotlight on Beth Ashlee – Senior Data Scientist

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Spotlight on Beth Ashlee – Senior Data Scientist

 

Name: Beth Ashlee

Job title: Data Science Consultant

Qualification(s): BSc Biomedical Science

Time in current role:  4 years

Beth Ashlee joined Mango initially as an intern whilst studying Biomedical Science. 4 years on and she’s recently been promoted to a position of Senior Data Scientist. During this time, she has experienced many diverse opportunities and pathways that have accelerated her analytical competency.

In addition to having been exposed to a myriad of technical-based scenarios through her delivery of client training in R and Python, Beth spends much of her time collaborating on a variety of projects such as Shiny app development, data exploration or productionising models. One of Beth’s passions is her team lead responsibility for Mango’s graduate recruitment programme where she actively trains and mentors her team on both professional and personal development.

Beth is a master communicator which is reflected in the shape of her Data Science Radar – a tool used to assess core Data Science competencies. Soft skills in data science are essential to establishing meaningful relationships alongside the ability to translate business value across an organisation, an area where Beth certainly excels. Outside of work, Beth enjoys travelling to new places and attending music festivals.

 

Beth’s Top 3 traits: 

  • Programmer 
  • Communicator 
  • Data Wrangler

Beth scores high in both Visualisation and Programming which ties in with the types of projects she has been working on most recently. 

As would be expected given her role as a Consultant and Trainer, Beth scores strongly as a Communicator. During a recent Government project, which required significant stakeholder engagement, these skills proved essential for helping to mobilise teams around the possibilities of advanced analytics.

Beth has identified that modelling is something she needs to work on to become a more well-rounded data scientist. To support this development, she has recently been doing more self-learning and is now working on a client facing modelling project.

Having a thorough understanding of capabilities and skill levels mapped against core competencies like these for the team, can help guide and shape the data science project team best suited to the task. The result is a significantly more engaged workforce with a set of skills that the business understands and needs, to deliver data-driven value. For more information on Data Science Radar, check out our Building a Winning Data Science Team page.

Would you like to join our award-winning 2020 Data IQ Best Data and Analytics Team? Mango are currently recruiting.

 

Related blogs:

Spotlight on a Data Consultant: Karina Marks

Spotlight on a Junior Data Scientist: Joe Russell