Junior Data Scientist
Why Hiring
Ipswich, United Kingdom
6 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
JuniorJob location
Remote
Ipswich, United Kingdom
Tech stack
Java
Computer Vision
C++
Data Integration
Data Visualization
Integrated Development Environments
Python
Machine Learning
Natural Language Processing
SQL Databases
Graphics Processing Unit (GPU)
Information Technology
Job description
In this role as a Junior Data Scientist, you'll collaborate with data experts and various teams across the organization to explore data, create predictive models, and uncover insights that shape key business strategies., * Develop, configure, and test informatics and data science solutions for diverse technical applications, while providing ongoing support.
- Utilize analytical techniques to diagnose data-related issues, implement effective solutions, and evaluate outcomes.
- Prepare and present comprehensive documentation, design alternatives, and findings to team members and clients.
- Develop strategic data modeling processes, with an emphasis on accurately identifying cause-and-effect relationships.
- Work with tools for data integration, visualization, mining, and analysis, while ensuring compatibility across integrated development environments.
- Manage and enhance shared libraries and tools used across multiple teams.
Requirements
- Bachelor's degree with 1-3 years of experience, or a Master's degree with similar experience.
- Proficiency in machine learning (ML) areas such as natural language processing, computer vision, and statistical learning theory.
- Proven experience in an ML engineering or data scientist role, building and optimizing ML models.
- Strong coding skills in Python, R, Scala, Java, or C++
- Experience working with large-scale datasets, uncovering hidden patterns, using data visualization tools, writing SQL, and leveraging GPUs for model development.
- Skilled in communicating technical concepts to a variety of audiences, including business, technical, and non-technical stakeholders, with experience delivering data-driven presentations.