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Data Scientist Remote

Craneware

Full Time Remote 10.56 - 12.04 GBP Today

Job description

Company

Craneware PLC

Speciality

Technology

Category

Permanent

Location Country

Office Location

Home based - UK

Additional Locations

Edinburgh

Introduction to Craneware

We at the Craneware Group, including Sentry Data Systems and Agilum Healthcare Intelligence, are transforming the business of healthcare by providing actionable insights to our customers. We are seeking talented, innovative and collaborative individuals to join our team of over 750 employees to drive the expansion of our SaaS-based platform and applications.

Together, nearly half of registered US hospitals are now our customers.

Our products impact:

More than 2,000 U.S. hospitals and health systems
Almost 10,000 clinics and retail pharmacies
Customers operating with a financial impact of nearly half a trillion dollars
Data sets from customers covering more than 150 million unique patients

The Team

The Data Scientist role will be responsible for developing high quality machine learning-enabled solutions and conducting complex data analyses to drastically improve existing products and act as a catalyst for the development of new innovations. This position will support the Data Innovation Portfolio’s strategies and initiatives by rapidly deploying data-driven solutions and prototyping new machine-learning models.

You Will Be

Utilising AI/ML methodologies and other advanced analytics to improve current products and business operations, automate complex processes, and create new products
Examining complex problems, interpret operational needs, and develop creative solutions
Applying sophisticated data science and computer science methodologies to projects that are reproducible and publication-worthy
Performing peer review code against development standards to ensure code quality and consistency
Translating statistical output into clear, compelling tables and visualizations
Keeping up to date with technical advances to drive innovation

You Will Bring

MS with 3+ years or PhD in computational subject area. Degree(s) should be in a technical discipline such as Data Science, Engineering, Statistics, Physics, Math, quantitative social science
Excellent written and verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical audiences
Demonstrated experience applying data science to real-world data problems and translating findings into actionable insights
Strong SQL and R/Python programming skills
Ability to prioritize and handle multiple projects while achieving the necessary balance between in-depth analyses and the need for a resolution/result
Excitement to join a new and dynamic team with the flexibility to adjust to changing priorities
Ability to independently gather background information for a problem and identify appropriate statistical and/or AI/ML methods
Experience with SQL relational databases as well as big data (Hadoop, Hive, Spark, Kafka, Flink)
Expertise in study design, data cleansing, feature engineering, and data modelling
Familiarity with visualization tools (Tableau, qlik, ThoughtSpot, Power BI, Looker, etc)
Frequent user of cloud computing platforms such as Microsoft Azure, Oracle Cloud, AWS
Independent and self-motivated in driving development and technical process improvement
Working knowledge of Application Lifecycle Management (ALM) tools (e.g. Azure DevOps or Jira)