Junior Data Analyst

Information Tech Consultants; Leeds; Hybrid; GBP 30,000 - 45,000; Full time

Job summary

A technology consulting firm based in the UK is looking for a motivated Junior Data Scientist to join their team. The successful candidate will support the development of data-driven solutions, working on machine learning algorithms and data analysis. Ideal applicants should possess a master's degree in a relevant field and foundational skills in Python, SQL, and data visualization. Join a company that prioritizes professional growth, impactful work, and an inclusive culture.

Benefits

Professional growth opportunities

Flexibility for remote work

Collaborative team environment

Qualifications

• Master’s degree or equivalent in relevant field.
• Foundational understanding of statistics and machine learning.
• Proficiency in programming languages such as Python or R.

Responsibilities

• Design and develop machine learning algorithms.
• Build and manage data pipelines for processing large datasets.
• Perform exploratory data analysis to derive insights.
• Collaborate with teams to understand project data needs.

Skills

Data analysis

Machine learning

Python

SQL

Data visualization

Problem-solving

Education

Master’s degree in Data Science, Statistics, or related field

Tools

Tableau

Power BI

scikit-learn

Keras

Job description

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.