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Entry Level Python Data Science Jobs in Hartford, CT

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

Job details Job Role Data Science Consultant 2 Career Role Lead Analyst - Data Science Work ... Required Skill and Experience Strong programming skills in Python Hands-on experience with AI/ML ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline * Experience in R (preferred), Python, and SQL * Experience in ingesting data from a ...

CVS Health

Senior Analyst, Actuarial (ADP)

Hartford, CT

$79K - $158K/yr

Use SQL for data engineering and Python for data science to transform data, perform analyses, and deliver scalable pricing solutions * Apply statistical knowledge and actuarial concepts to support ...

Deloitte

Cyber - SecOps - Consultant

Hartford, CT · On-site

... Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform exploratory analysis, generate features, and support data science workflows * 2+ years of experience using ...

CYNET SYSTEMS

Prompt Engineering Specialist

Hartford, CT · On-site

$55 - $60/hr

Proficiency in Python or SQL for data interaction. Responsibilities: * Design and optimize prompts for LLM-based workflows within Snowflake's agentic DTI platform. * Collaborate with data science and ...

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How much do entry level python data science jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for entry level python data science in Hartford, CT is $59.13, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.16 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Hartford, CT? The most popular types of Python Data Science jobs in Hartford, CT are:
What are popular job titles related to Entry Level Python Data Science jobs in Hartford, CT? For Entry Level Python Data Science jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Hartford, CT look for? The top searched job categories for Entry Level Python Data Science jobs in Hartford, CT are:
Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Hartford, CT as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 7% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $122,995 per year, or $59.1 per hour.

AI/ML Engineer - Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY, Boston, MA.

TechniPros, LLC

East Hartford, CT • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: AI/ML Engineer
Location: Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY, Boston, MA.
Contact: 12+ Months
Looking for W2 candidates. No C2C

Job Summary

·       We are seeking an experienced AI/ML Engineer to design, develop, and deploy enterprise-grade Machine Learning and Generative AI solutions. The ideal candidate will have a strong background in AI/ML engineering, data science, predictive analytics, and cloud-based ML development, along with experience in the insurance or financial services industry. This role requires expertise in building scalable ML solutions, customer analytics, and business intelligence to drive strategic business outcomes.

Key Responsibilities

·        Design, develop, deploy, and maintain production-grade Machine Learning and Generative AI solutions.

·        Build scalable ML models and inference pipelines supporting APIs, batch processing, and real-time predictions.

·        Develop predictive analytics models to improve customer engagement, marketing effectiveness, revenue generation, and business performance.

·        Perform data exploration, anomaly detection, feature engineering, and exploratory data analysis (EDA).

·        Develop Machine Learning models using Python in cloud environments.

·        Collaborate with business stakeholders to identify AI/ML opportunities and translate business requirements into technical solutions.

·        Implement Responsible AI practices, including model monitoring, bias mitigation, explainability, and data privacy.

Required Qualifications

·        Strong experience supporting Sales, Marketing, Customer Engagement, or Customer Analytics initiatives.

·        Proven experience designing, deploying, and managing production Machine Learning and/or Generative AI solutions.

·        Hands-on experience building ML APIs, batch inference, and real-time prediction services.

·        Strong Python programming experience for Machine Learning development.

·        Strong SQL skills with expertise in data analysis and exploratory data analysis (EDA).

·        Experience with Azure Machine Learning, Dominos, and/or Power BI.

·        Strong statistical and mathematical knowledge supporting predictive modeling and data science.

Mandatory Skills

·        Python

·        SQL

·        Machine Learning

·        Generative AI

·        Azure Machine Learning

·        Power BI

·        Predictive Modeling

·        Data Science

·        Data Analysis

·        API Development

Best Regards:

Peerbhi SK
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