Junior Data Analyst

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

Job summary

An innovative tech consultancy in the UK is looking for a motivated Junior Data Scientist to join their team. This entry-level role offers an excellent opportunity to develop analytical skills while working closely with senior data scientists. The ideal candidate will have a Master’s degree in a related field and experience in programming languages such as Python or R. Join a collaborative environment where your contribution makes an impact on real-world challenges. Remote or hybrid work options are available.

Benefits

Professional Growth

Impactful Work

Collaborative Team

Flexibility

Inclusive Culture

Qualifications

• 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 relational databases.
• Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib.

Responsibilities

• Design and manage data pipelines for large datasets.
• Develop and test machine learning algorithms.
• Perform exploratory data analysis to identify patterns.
• Create visualizations to communicate findings.
• Collaborate with team members on data needs.

Skills

Python

R

Data Analysis

Machine Learning

Statistical Analysis

SQL

Data Visualization

Problem Solving

Education

Master's in Data Science or related field

Tools

Tableau

Power BI

Matplotlib

Pandas

NumPy

AWS

Azure

GCP

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.