HP Spark Management Associate - Data Scientist

HP Spark Management Associate - Data Scientist

Description -

Job Summary

This role is an entry-level role for a recent graduate to grow as a data scientist in a collaborative, fast-moving team. The role involves working alongside experienced data scientists and engineers to explore, analyze, and model data that drives real business decisions. This requires proficiency across both classical ML techniques and emerging AI paradigms — including large language models and agentic AI systems — to surface insights and contribute to meaningful solutions. Strong communication and the ability to work effectively across teams are as important as technical skill.

What a HP Spark Management Associate - Data Scientist does at HP:

• Supports data exploration, preparation, and analysis using Python, SQL, and modern data tooling.
• Contributes to building and evaluating predictive and machine learning models under the guidance of senior team members.
• Works collaboratively with cross-functional teams — including product, engineering, and business stakeholders — to understand problems and communicate findings clearly.
• Translates analytical results into clear, accessible visualizations and written summaries for both technical and non-technical audiences.
• Participates in the integration and evaluation of LLM-based and agentic AI workflows where applicable.
• Assists in developing monitoring and evaluation metrics to track model and solution performance in production.
• Actively engages in team discussions, code reviews, and knowledge-sharing sessions.
• Brings curiosity and a learning mindset — asks questions, seeks feedback, and continuously develops skills.

Individuals who do well in this role at HP, usually possess:

• Bachelor's or Master's Degree in Mathematics, Statistics, Computer Science, Data Science, or a related discipline.
• Final-year students or recent graduates welcome; internship or project experience in data/ML is a plus but not required.
• Core Technical Skills: Python (essential), SQL, Statistical Modeling & Machine Learning, Data Analysis and Visualization (e.g., Tableau, matplotlib, Power BI), Predictive Modeling fundamentals, Large Language Models (LLMs) — familiarity with APIs and evaluation, Agentic AI — understanding of agent-based workflows and tool use, Generative AI concepts and responsible AI practices
• Cloud & Data Engineering Basics: Data pipelines and version control (Git)
• Experience/Knowledge in these areas are a plus: Natural Language Processing, Computer Vision and/or VLMs, Time series modelling and/or forecasting, Amazon Web Services or equivalent cloud platform, Big Data concepts (e.g., Apache Spark).

Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere.

HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.

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Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Singapore)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"