Skills

Communication Python Data Analysis SQL Data Cleaning Version Control Problem-solving Training Machine Learning PyTorch Scikit-Learn TensorFlow Regression git Azure AWS cloud platforms Numpy Pandas Analytics GCP Data Science Artificial Intelligence Matplotlib seaborn Microsoft Azure Mathematics

Job Specifications

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.

About the Company

With over two decades of expertise, Fortray excels in IT Recruitment, Training, and Services. As IT Recruiters, we connect top talent with global opportunities in the digital technology sector, offering contract, temporary, and permanent placements across various industries, roles, salaries, and locations. Our specialized teams ensure your recruitment or job search benefits from seasoned experts who deeply understand your sector. Fortray is also a global online boot camp, helping career changers gain vital digital skill... Know more