Junior Data Analyst

Information Tech Consultants
London
1 month ago
Applications closed

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Junior Data Analyst

Junior Data Analyst

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Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Job Title: Junior Data Scientist

Location: London

Experience: 2–5 years

Education: Master's in Science (IT/Computer Science/Engineer)

Employment Type: Full-Time

UK based candidates only.


About the Role

We are looking for a motivated Junior Data Scientist to join our data team and contribute to the development of data-driven solutions. This entry-level position offers an excellent opportunity to build your analytical skills, work with real-world datasets, and gain hands-on experience with machine learning and statistical techniques. You’ll work closely with senior data scientists and engineers to support various projects and deliver insights that drive decision-making.

If you’re curious, eager to learn, and passionate about using data to solve complex problems, we’d love to hear from you.


Responsibilities

  • Strong understanding of Object-Oriented Programming (OOP) principles.
  • Designing machine learning algorithms. Develop and test machine learning algorithms to address business needs, ensuring high accuracy and scalability.
  • Building data pipelines. Design and manage data pipelines that handle large datasets, data preprocessing, feature engineering, and efficient data flow to ensure high-quality input for machine learning models.
  • Optimizing models. Use tools like scikit-learn and Keras to fine-tune models for enhanced model performances
  • Perform exploratory data analysis to identify patterns and insights.
  • Develop and test statistical models and machine learning algorithms under guidance.
  • Create user-friendly visualizations to communicate findings.
  • Support the development of dashboards and reporting tools for stakeholders.
  • Collaborate with team members across departments to understand data needs and project goals.
  • Stay updated with new trends and best practices in data science and analytics.
  • Document methodologies, data workflows, and project findings for reference and reproducibility.


Required Skills & Education

  • Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • Foundational understanding of data analysis, statistics, and machine learning.
  • Proficiency in programming languages such as Python or R.
  • Basic knowledge of SQL and working with relational databases.
  • Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib.
  • Strong problem-solving and critical-thinking skills.
  • Eagerness to learn and grow in a fast-paced, collaborative environment.
  • Excellent communication skills and a team-focused mindset.


Nice-to-Have Skills

  • Exposure to cloud platforms like AWS, Azure, or GCP.
  • Experience with data manipulation libraries like pandas or NumPy.
  • Familiarity with APIs and working with large datasets.
  • Understanding of version control systems like Git.


Why Join Us?

  • Professional Growth: Gain invaluable experience and mentorship to develop your career.
  • Impactful Work: Take part in projects that solve real-world challenges.
  • Collaborative Team: Work in an environment that values collaboration and shared learning.
  • Flexibility: Enjoy opportunities for remote or hybrid work to support work-life balance.
  • Inclusive Culture: Be part of a diverse workplace that values each individual’s contribution and fosters equity and belonging.

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