Junior Data Scientist

Role Overview

We are looking for a Junior Data Scientist to support data-driven initiatives by analysing data, building basic models, and delivering insights that support business and technical teams. This role is ideal for graduates or early-career professionals who have strong analytical foundations and a keen interest in machine learning and applied data science.

You will work under the guidance of senior data scientists and gain hands-on experience with real datasets, tools, and models.

Key Responsibilities

Data Analysis & Preparation

• Assist in collecting, cleaning, and preparing datasets for analysis
• Perform exploratory data analysis (EDA) to identify trends and patterns
• Support feature engineering and data validation activities

Model Development & Evaluation

• Assist in building and testing basic machine learning models
• Support model evaluation, tuning, and performance tracking
• Apply statistical and analytical techniques under supervision

Reporting & Insights

• Translate analysis results into clear insights and summaries
• Assist in creating visualisations and reports for stakeholders
• Document findings, models, and methodologies

Collaboration & Learning

• Work closely with data scientists, analysts, and engineers
• Participate in code reviews, team meetings, and training sessions
• Continuously learn data science tools, methods, and best practices

Required Skills & Qualifications (Must Have)

• Basic to intermediate knowledge of:
• Python (NumPy, Pandas, Matplotlib / Seaborn)
• Data analysis and statistical concepts
• Familiarity with:
• Machine learning fundamentals (regression, classification, clustering)
• Data visualisation techniques
• Understanding of:
• SQL or basic database querying
• Data cleaning and preprocessing
• Strong analytical mindset and problem-solving skills
• Good communication and documentation abilities

Preferred / Advantageous Skills

• Exposure to:
• Scikit-learn, TensorFlow, or PyTorch (basic level)
• Jupyter Notebooks
• Academic projects, internships, or coursework in:
• Data Science
• Machine Learning
• Artificial Intelligence
• Familiarity with:
• Git / version control
• Cloud platforms (AWS / Azure / GCP – basic)

Education

• Bachelor’s degree in:
• Data Science
• Computer Science
• Mathematics / Statistics
• Engineering
• Or a related technical field

Certifications (Advantage)

• Entry-level or foundational certifications such as:
• Google Data Analytics
• IBM Data Science
• Microsoft Azure AI Fundamentals

What We Offer

• Entry-level opportunity with structured learning and mentoring
• Hands-on exposure to real-world data science projects
• Clear career progression to Data Scientist / ML Engineer roles
• Collaborative and learning-focused environment
• Competitive compensation based on experience
• In-house training and continuous professional development opportunities

Work Authorization

Visa sponsorship is not available. Candidates must have valid authorization to work in the country of employment.

Equal Opportunity Statement

We are an equal opportunity employer and welcome applications from all qualified candidates.