Mayden
AI

Data Scientist

Mayden · Bath, ENG, GB

Actively hiring Posted 4 months ago

Role overview

We’re looking for an experienced and motivated individual to join our growing data science and analytics team as we seek to expand our data science offering for clients of our market leading software, iaptus. The ideal candidate will be passionate about interpreting and analysing data, providing actionable insights, and have a flair for data visualisation and ‘story-telling’ with data.

Mayden is passionate about delivering impactful healthcare software that changes what’s possible for clinicians and patients. Come and be part of a team that thrives on working collaboratively to deliver the best possible solutions for our customers.

We are an agile, self managing organisation. Driven by our values of collaboration, contribution, forwarding thinking and transparency. Our team members work together to share the responsibilities of managing the work and achieving our purpose - transforming health and care together.

Responsibilities

  • Work in an agile environment in a growing team
  • Play an active role in shaping the future direction of analytics and data science at Mayden
  • Be responsible for developing and maintaining statistical models and machine learning algorithms and applying these to large healthcare data sets
  • Work with clients and others within Mayden to develop valuable insights in response to real needs and issues facing NHS trustsDrive cutting-edge research and contribute to developing commercially deployable products and bespoke analyses
  • Work within a collaborative team who actively share learning with each other and the wider company
  • Contribute to generating data science reports for healthcare professionals, using data visualisation and statistical analysis to tell stories to a variety of audiences which lead to actionable change
  • A Master’s degree in data science or other relevant field or equivalent experience
  • A deep understanding of data analysis, statistical methods, machine learning and applying these concepts to large data sets
  • Experience with coding and the use of statistical computing software, for example in R or Python
  • Knowledge of Git or other source control software
  • Exposure to agile methodologies, preferably scrum
  • Experience with AWS technologies, namely S3, ECR, SageMaker, API Gateway, Redshift and Bedrock
  • Experience in analysing healthcare sector data, and an awareness of the sensitivities around data and research in this field
  • Exposure to working with clients and customers, validating project and product specifications to meet the needs of a wide range of stakeholders
  • Experience with developing intuitive and accessible data visualisations, including use of platforms such as Tableau or Power BI
  • Experience with SQL

Benefits

  • life assurance
  • private health insurance
  • pension (enhanced after successful completion of probation)
  • personal training and conference budget
  • onsite gym
  • parking, including EV charging points
  • 25 days annual leave plus bank holidays (with the option to buy or sell annual leave after probation is completed).

About the company

  • You are a team player: You’re adaptable and able to work with and facilitate continuous improvement with excellent communication skills
  • You are data-driven: You have an analytical mind with the ability to learn fast and you enjoy solving mathematical or logical problems*You are conscientious and detail-orientated:* You have a strong attention to detail and excellent prioritisation and self-organisation skills whilst recognising the balance between perfection and progress.
  • You are self-driven: You can take the initiative in a flat structure company and are able to seek and understand the work to be done for the benefit of our customer.
  • A covering letter describing your interest in the role, what you are passionate about and what you think you would bring to the team and to Mayden. (We do read these and enjoy hearing about you and your interests).
  • Your CV (all those amazing things you achieved and done)
  • A copy of your passport and if required your share code and date of birth. We need to have evidence that you are eligible to work in the UK.

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