Remote Cloud Computing Jobs in Guernsey

2 of 2 Remote Cloud Computing Jobs in Guernsey

SAS Consultant

Guernsey, UK
Hybrid / WFH Options
MBN Solutions
Up to 65,000 Start Date : ASAP Security Clearance : Must be SC Cleared About Us My client is a dynamic and innovative team at the forefront of AI and cloud computing, delivering scalable, intelligent solutions that drive real-world impact. Their expertise spans analytics and AI services across sectors including finance, government, life sciences, private sector, and sport. … As certified partners with leading cloud and analytics platforms, they maintain a vendor-neutral approach, focusing on delivering high-quality analytics services. With a global presence and ambitious growth plans, they are expanding our team to support our strategic vision. The Role We are seeking an experienced and passionate Data Consultant with significant SAS project experience to join their … Data Visualization and Analysis Core Technical Skills SAS Skills : Base SAS, SAS Macros, SAS EG, SAS DI, SAS SQL, SAS VA, SAS BI Other Tools : Jira, Python, R, SQL Cloud Technology Awareness Desirable Skills Familiarity with additional tools such as Python, R, IBM Watson, and Power BI. Understanding of DevOps tools (Git, Azure DevOps, Jenkins, Docker, Kubernetes). Experience More ❯
Employment Type: Part-time
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Data Scientist (Pricing & Forecasting)

Guernsey, UK
Hybrid / WFH Options
La Fosse
building new and developing existing pricing models. This is a pivotal time for the business, and you will help transform the data science capabilities as they build a new cloud-based Data Platform across the UK and the USA. As a Data Scientist, you will leverage their extensive quest data to enhance pricing decisions through dynamic pricing models, supporting … data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Ideally previous experience with Snowflake and DBT. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved predictive models. If youre interested in this role and feel More ❯
Employment Type: Part-time
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