Data Science Intern

EXL Service; Hartford (CT); On-site; USD 27,552 - 41,328; Full time

Job summary

EXL Service is looking for a motivated candidate to work with the AI team on Generative AI projects, especially with large language models. The ideal candidate should possess strong undergraduate computer science skills, be a sophomore or junior majoring in Computer Science or Data Science with a GPA of 3.5 or higher, and demonstrate beginner to intermediate skills in Python.

The role involves applying AI knowledge to solve real-world problems, engaging in prompt engineering, and building predictive models. Strong analytical and problem-solving abilities are essential for success in this position.

Qualifications

• Good core undergraduate computer science skills.
• GPA of 3.5+ preferred.
• Awareness of Large Language Models is a big plus.

Responsibilities

• Work with AI team on Generative AI and large language models.
• Apply Generative AI knowledge to solve client problems.
• Engage in prompt engineering for optimized model performance.
• Evaluate open-source generative models from research.
• Implement prototypes of Data Science Components/Apps.
• Write Python/Spark SQL code for prototyping.
• Build predictive models and process flows.
• Use advanced machine learning techniques to solve problems.

Skills

Core computer science skills

Analytical skills

Problem-solving skills

Beginner/Intermediate Python skills

Awareness of Large Language Models

Education

Sophomore or Junior majoring in Computer Science or Data Science

Job description

Responsibilities

• Works with the AI team in the area of Generative AI, especially large language models or adjacent areas, such as vector databases
• Applying Generative AI Knowledge to solve problems for clients and internal users
• Engage in extensive prompt engineering, which involves crafting effective input prompts to guide the generative model towards producing desired outputs. Experiment with different prompt formats, styles, and structures to optimize model performance and output quality.
• Conduct thorough testing and evaluation of open-source generative models from the research community.
• Implementing prototypes of various Data Science Components/Apps
• Writing Python/Spark SQL code to implement prototypes from scratch
• Building highly specialized predictive models and overall process flows
• Usage of Advanced machine learning (Regression and Classification) techniques to solve ad-hoc problems

Qualifications

• Good core undergraduate computer science skills
• Sophomore or Junior with major in Computer Science and Data Science. GPA 3.5+
• Awareness of Large Language Models is a big plus
• Beginner/Intermediate skills in Python and demonstrated ability to learn new languages
• Analytical and problem-solving skills