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Entry Level Data Scientist Machine Learning Jobs in Connecticut

Role: Data Scientist Location/s: Hartford, CT (or) Stamford, CT (or) Morristown, NJ [Hybrid] (or ... machine learning techniques, data structures, and algorithms. * Their expertise enables them to ...

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... Design and apply machine learning tools, including accessing large language models (LLMs) or ...

Data Scientist

Stamford, CT ยท On-site +1

At Spectrum, you'll use advanced statistical techniques and machine learning to develop impactful ... Responsible for the full end-to-end data science process, including ETL, model development ...

New

The Actuary/Data Scientist will leverage strong analytical and coding skills to support data ... apply machine learning tools, including accessing large language models (LLMs) or building task ...

Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ... apply machine learning tools, including accessing large language models (LLMs) or building task ...

... machine learning, AI, and cognitive service engine models โ€ข Experience with programming languages like SQL, Python, R, and Scala โ€ข Using analytics software and platforms (GA, GTM, SPSS, Excel ...

Machine Learning Tutor

Bridgeport, CT ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Hartford, CT ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Norwalk, CT ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Stamford, CT ยท Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

Working closely with data scientists, machine learning engineers, product owners, and business partners, you will help deliver reliable data assets and services that create measurable business value.

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

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Entry Level Data Scientist Machine Learning information

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist in Machine Learning, and why are they important?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are entry level data scientist machine learning jobs?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are some common challenges faced by entry-level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.
What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Connecticut? For Entry Level Data Scientist Machine Learning jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist Machine Learning jobs in Connecticut look for? The top searched job categories for Entry Level Data Scientist Machine Learning jobs in Connecticut are:
What cities in Connecticut are hiring for Entry Level Data Scientist Machine Learning jobs? Cities in Connecticut with the most Entry Level Data Scientist Machine Learning job openings:
Infographic showing various Entry Level Data Scientist Machine Learning job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International, LLC

Stamford, CT โ€ข On-site

Full-time

Posted 11 days ago


Job description

Application Deadline: September 1, 11:59pm EST
Program Summary - Commercial Technology Internships
Company Overview:
Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.
Position Overview:
CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.
Responsibilities:
  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:
  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.