Trainee Data Scientist
RackspacePosted 3/14/2025
Trainee Data Scientist
Rackspace
Job Location
Job Summary
We are seeking a Trainee Data Scientist to support our AI product development by analyzing data, building predictive models, and extracting insights. As a Trainee Data Scientist, you will work with real-world datasets, collaborate with AI engineers, and contribute to cutting-edge machine learning applications. You will be responsible for developing analytical models, experimenting with machine learning techniques, and maintaining optimal data pipeline architecture. This role is ideal for recent graduates in Management Information Systems, Data Science/Analytics, Computer Science, Statistics, or equivalent formal training. You should have proficiency in Python/R/SAS, SQL, Data Visualization, deep learning frameworks, Spark, and cloud computing environments such as AWS, Google Cloud, Microsoft Azure. Excellent communication skills are also required. We offer flexible remote work options, a competitive salary, and opportunities for growth and development.
Job Description
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
