Junior Data Science Developer

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. At HCLTech Australia, we value the unique perspective and contributions of all individuals and we actively encourage applications from Aboriginal and Torres Strait Islander people to apply for this role. Are you ready to be an important part of this ever-transformational journey? About the role We are looking for a motivated Junior Data Science Developer to join our dynamic team. This position offers an excellent opportunity to work with real‑world datasets, develop analytical models, and contribute to data‑driven solutions. You’ll collaborate with senior data scientists and engineers on projects that drive business insights and innovation. Key Responsibilities Data Handling Collect, clean, and preprocess structured and unstructured data from multiple sources. Perform exploratory data analysis to identify patterns and trends. Model Development Assist in building and testing statistical models and machine learning algorithms. Support feature engineering and model evaluation tasks. Reporting & Visualization Create dashboards and visualizations using tools like Tableau, Power BI, or Matplotlib. Document methodologies and workflows for reproducibility. Collaboration Work closely with cross‑functional teams to understand data requirements and deliver actionable insights. Participate in code reviews and contribute to improving data pipelines. Continuous Learning Stay updated with emerging trends in data science, machine learning, and analytics. Required Skills & Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. Proficiency in Python or R for data analysis and modeling. Basic knowledge of SQL and relational databases. Familiarity with pandas, NumPy , and visualization tools. Understanding of statistical methods and basic machine learning concepts. Exposure to version control systems like Git . Strong analytical and problem‑solving abilities. Excellent communication and teamwork skills. Nice-to-Have Skills Experience with cloud platforms (AWS, Azure, GCP). Familiarity with APIs and handling large datasets. Knowledge of CI/CD and DevOps practices. Why Us We are one of the fastest-growing large tech companies in the world, with offices in 50+ countries across the globe and 219,000 employees. Our company is extremely diverse with 165 nationalities represented. We offer the opportunity to work with colleagues across the globe. We offer a virtual‑first work environment, promoting a good work‑life integration and real flexibility. We offer comprehensive benefits for all employees. We are a certified great place to work and a top employer in 17 countries, offering a positive work environment that values employee recognition and respect. Equality & Opportunity for All Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, Aboriginal and Torres Strait Islander people or any other protected classification, in accordance with federal, state, and/or local law. Candidate Data Privacy Notice We are committed to respecting your privacy and for the protection of your personal data. Your personal data will be collected and processed in line with our candidate privacy notice: This privacy notice will help you to understand what personal data we collect about you, how we use this personal data, and what rights you have regarding your personal data. By replying to this email or submitting any personal data to HCLTech, you acknowledge that you have read and understood the candidate privacy notice and have provided your consent to the processing of your data for recruitment purposes as described in the privacy notice. #J-18808-Ljbffr