Join a growing data-driven organization as a Junior Data Scientist to apply data analysis and machine learning techniques to real-world business problems. Collect, clean, and analyze datasets, build and evaluate models, and develop dashboards to support data-driven decision making. Ideal for early-career professionals with a strong analytical and problem-solving mindset.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Location: Remote (United Kingdom)
Job Type: Full-time
Experience Level: Junior / Entry-Level
About the Role
A growing data-driven organization is seeking a Junior Data Scientist to join its remote team in the United Kingdom. The position is ideal for early-career professionals interested in applying data analysis and machine learning techniques to real-world business problems. The role involves working with datasets, developing models, and supporting data-driven decision making.
Key Responsibilities
- Collect, clean, and analyze structured and unstructured datasets
- Build and evaluate basic machine learning and statistical models
- Develop dashboards and visualizations to communicate insights
- Assist with experiment design and performance analysis
- Collaborate with data engineers, analysts, and product teams on data projects
- Document models, workflows, and analytical findings clearly
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Required Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field
- Proficiency in Python or R for data analysis
- Familiarity with libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow
- Understanding of machine learning fundamentals and statistical methods
- Experience writing SQL queries and working with relational databases
- Strong analytical and problem-solving abilities
- Clear written and verbal communication skills
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Preferred Qualifications
- Experience with visualization tools such as Tableau or Power BI
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
- Knowledge of Git or collaborative development workflows
- Academic or personal projects related to machine learning or analytics
Benefits
- Fully remote role within the United Kingdom
- Competitive salary and benefits package
- Professional development and mentorship opportunities
- Flexible working hours
- Exposure to modern data technologies and tools
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