Why Hiring
Junior Data Scientist
Why HiringUnited Kingdom12 hours ago
Full-timeRemote FriendlyEngineering, Information Technology

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


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


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

Key Skills

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