TriNet is Hiring Associate Data Scientists | Freshers | Hyderabad

Job Description

TriNet is hiring Associate Data Scientists for its Enterprise Data & Analytics team in Hyderabad. This opportunity is ideal for fresh graduates and early-career professionals who are passionate about Data Science, Machine Learning, Artificial Intelligence, Python, Statistics, Predictive Analytics, and Data Analytics. If you're looking to work on real-world machine learning models while learning from experienced data scientists, this is an excellent opportunity to begin your career.

As an Associate Data Scientist, you will develop and validate machine learning models, perform exploratory data analysis, prepare datasets for modeling, support AI and GenAI initiatives, and collaborate with senior data scientists to solve business problems using data-driven solutions.

𝐂𝐨𝐦𝐩𝐚𝐧𝐲: TriNet
𝐑𝐨𝐥𝐞: Associate Data Scientist
𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Hyderabad, Telangana, India
𝐖𝐨𝐫𝐤 𝐌𝐨𝐝𝐞: Work From Office
𝐉𝐨𝐛 𝐓𝐲𝐩𝐞: Full-Time
𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 0–1 Year

𝐀𝐛𝐨𝐮𝐭 𝐓𝐫𝐢𝐍𝐞𝐭

TriNet is a leading provider of comprehensive Human Resources solutions for small and medium-sized businesses. The company delivers payroll, employee benefits, compliance, human capital consulting, and workforce management services, helping businesses streamline HR operations and focus on growth.

With a strong focus on innovation and analytics, TriNet leverages advanced data science and Artificial Intelligence technologies to deliver intelligent business solutions while providing employees with excellent opportunities for learning and career development.

𝐉𝐨𝐛 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰

As an Associate Data Scientist, you will contribute to developing statistical and machine learning models that solve business problems. Working closely with senior data scientists and data engineers, you will perform data preparation, exploratory analysis, model validation, feature engineering, and experimentation with modern AI and GenAI techniques.

This role provides valuable exposure to Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Large Language Models (LLMs), Data Science, and Enterprise Analytics.

Roles & Responsibilities

- Develop, test, and implement statistical and machine learning models.

- Apply regression, classification, clustering, and forecasting techniques.

- Perform data cleaning, transformation, and feature engineering.

- Conduct exploratory data analysis to identify trends and insights.

- Validate machine learning models using standard evaluation metrics.

- Support hypothesis testing and structured analytical problem-solving.

- Assist with GenAI, NLP, and LLM-based experimentation.

- Debug analytical models and improve model performance.

- Document experiments, models, and analytical workflows.

- Collaborate with data scientists, engineers, and analytics teams on enterprise projects.

Qualifications & Eligibility

- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

- Fresh graduates and candidates with up to 1 year of experience can apply.

- Academic or internship experience in Data Science or Analytics is an advantage.

- Good analytical, communication, and problem-solving skills.

- Strong attention to detail and structured thinking.

Skills Required

- Python

- R Programming

- Machine Learning

- Statistics

- Data Science

- Data Analytics

- Data Cleaning

- Feature Engineering

- Exploratory Data Analysis (EDA)

- Model Validation

- Problem Solving

- Analytical Thinking

- Communication Skills

- Team Collaboration

𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

- Regression

- Classification

- Clustering

- Forecasting

- Natural Language Processing (NLP)

- Large Language Models (LLMs)

- Generative AI

- Prompt Engineering

- Model Evaluation

- Data Visualization

- SQL

- Statistical Analysis

𝐖𝐡𝐲 𝐉𝐨𝐢𝐧 𝐓𝐫𝐢𝐍𝐞𝐭?

- Begin your career with a leading global HR technology company.

- Work on real-world machine learning and AI projects.

- Learn directly from experienced data scientists and engineers.

- Gain practical exposure to GenAI, NLP, and advanced analytics.

- Build expertise in enterprise-scale data science solutions.

- Develop strong analytical, technical, and problem-solving skills.

- Enjoy excellent learning opportunities and long-term career growth.

𝐂𝐚𝐫𝐞𝐞𝐫 𝐆𝐫𝐨𝐰𝐭𝐡 𝐎𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬

This role provides an excellent foundation for careers such as:

- Data Scientist

- Machine Learning Engineer

- AI Engineer

- Data Analyst

- Applied Data Scientist

- NLP Engineer

- Predictive Analytics Specialist

- Business Intelligence Analyst

- Analytics Consultant

- Senior Data Scientist

𝐖𝐡𝐨 𝐒𝐡𝐨𝐮𝐥𝐝 𝐀𝐩𝐩𝐥𝐲?

- Fresh graduates passionate about Data Science and Machine Learning.

- Candidates interested in Artificial Intelligence, NLP, and Generative AI.

- Individuals with strong analytical and problem-solving abilities.

- Aspiring data professionals looking for enterprise-level AI experience.

- Candidates seeking structured learning, mentorship, and long-term career growth.