Trainee Data Scientist
6 Months ago • Upto 1 Years
Job Description
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 include developing analytical models for insight generation, experimenting with and implementing machine learning techniques, creating and maintaining optimal data pipeline architecture, assembling large datasets, learning new data science techniques/programming languages, contributing to team discussions, following MLOps practices, and model selection and implementation. The role requires independent work and collaboration within the team, delivering results on schedule.
Good To Have:
- Experience with cloud computing (AWS, Google Cloud, Azure)
- Deep learning frameworks
- Spark
Must Have:
- Recent graduate in relevant field
- Proficient in machine learning & statistics
- Software development experience
- Python/R/SAS, SQL, Data Visualization
- Excellent communication skills
- Awareness of data science methodologies
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
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