Data Scientist Remote
Craneware
Full Time
Remote
10.56 - 12.04 GBP Today
Job description
Company
Craneware PLC
Speciality
Technology
Category
Permanent
Location Country
UK
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:
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)
Craneware
https://www.thecranewaregroup.com/
Edinburgh, United Kingdom
Keith Neilson
$25 to $50 million (USD)
501 to 1000 Employees
Company - Public
Healthcare Services & Hospitals
1999
