Website Rackspace Technology
At Rackspace Technology, we are the multicloud solutions experts. Our technical acumen with the world’s leading technologies — across your applications, data and security — enables you to grow your business, increase efficiency and deliver the future. We solve more than workload problems; we create business advantages. Our multicloud solutions expertise means you’re empowered to work faster, smarter and ahead of what’s next.
Trainee Data Scientist
We are seeking a Trainee Data Scientist to support our AI product development by analyzing data, building predictive models, and extracting insights. You will work with real-world datasets, collaborate with AI engineers, and contribute to cutting-edge machine learning applications
Responsibilities
- To develop analytical models for insight generation that improves business decision making.
- Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.
- Will contribute to data science team discussions, providing insight on current approaches and methods,
- Follows established MLOps practices in software development.
- Data science model selection and implementation.
- Working independently while collaborating well within the team.
- Have worked autonomously and delivered results on schedule.
Person Specification
- Recent graduate in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training
- Proficient & interest in machine learning and statistics
- Software development experience
- Interest & Proficiency in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark
- Excellent communication skills
- Proficient with cloud computing in environments such as AWS, Google Cloud, Microsoft Azure
- Awareness of data science methodologies.
- Attention to detail
- Multi-tasking
- Strong analytical skills