Data Scientist Intern
- Jocelyn Dominguez
- Jun 3
- 2 min read
Updated: Aug 7
Departament: Data Science and Artificial Intelligence
Location: Santiago de Querétaro, Qro.
Mode: Hybrid
Schedule: Part-time with flexible hours
Application Deadline: *
Job Description:
We are looking for curious and analytical individuals eager to start their careers by solving real-world problems with data. As an intern, you will help create predictive models, extract insights, and automate processes. You’ll work closely with the team to develop solutions that integrate machine learning and generative AI, such as smart assistants, text generation, and recommendation systems. Your work will help companies across industries make smarter, data-driven decisions.
Responsibilities:
Extract, clean, and process data from various sources (databases, files, APIs)
Analyze large datasets to identify patterns, trends, and opportunities
Develop and evaluate ML models for prediction or classification
Research and experiment with Generative AI models (LLMs, embeddings, synthetic data), applying them to tasks like automation, classification, or chatbots
Support implementation and evaluation of RAG (Retrieval-Augmented Generation) and smart assistant solutions using LLMs
Communicate findings through clear visualizations and executive reports
Collaborate with product, engineering, and business teams to turn needs into data solutions
Document processes and follow best practices for versioning and reproducibility
Requiered Experience:
0 to 2 years of experience in data analysis, data science, or related fields
Value placed on academic, personal, or competition projects
Ideally: previous internships or professional experience in analytics
Basic Requirements:
Intermediate Python for data analysis (pandas, numpy, matplotlib, scikit-learn)
Foundations in statistics, probability, and machine learning
Experience with SQL (basic-intermediate)
Knowledge of data visualization tools like Seaborn, Plotly, Power BI
Familiar with Jupyter Notebooks or similar environments
Basic Git and version control usage
Technical English for reading documentation
Preferred but Not Required:
NLP techniques, embeddings, or smart assistants
Knowledge of cloud platforms (AWS, GCP, Azure)
Familiarity with LangChain, OpenAI API, Hugging Face Transformers
Experience with cloud or collaborative tools (Notion, Slack)
Knowledge of Docker
Benefits:
Flexible schedule, focused on deliverables
Weekly syncs to stay aligned and support one another
Work from home, with in-person meetings only for key strategic sessions
High-level team with certified professionals experienced in top national and international companies
Structured knowledge transfer for ongoing technical and professional growth
Proceso de entrevista:
Online application form
Introductory interview
Technical interview
Final interview
About Data Pulse Analytics:
At Data Pulse Analytics, we help businesses move from assumption-based decisions to data-backed strategies. We transform manual processes into intelligent systems that predict, automate, and optimize. Our data science and AI team designs statistical models, machine learning solutions, and software tools that allow clients to anticipate risks, uncover opportunities, and scale with precision. Our mission is simple: turn data into clear, actionable decisions. Because more than a gut feeling — it’s data.
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