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Entry Level Python Programmer Jobs in Lowell, MA

Machine Learning Analyst

Boston, MA ยท On-site

$110K - $145K/yr

Successful candidates will have solid programming foundations, be comfortable translating between ... Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas ...

Eng I - SW

Hudson, NH ยท On-site

$64K - $110K/yr

Proficiency in multiple high level programming languages (e.g. C, C++, Java, Python) * Working knowledge of software design and code utilizing Object Oriented Analysis & Design (OOAD) technique

Machine Learning Analyst

Boston, MA ยท On-site

$110K - $145K/yr

Successful candidates will have solid programming foundations, be comfortable translating between ... Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas ...

... Python to tackle financial crime challenges. As an Associate you will focus on learning and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Eng I - Elec

Merrimack, NH ยท On-site

$64K - $110K/yr

We are seeking a highly motivated and enthusiastic Entry-Level FPGA Engineer to join our FAST Labs ... Familiarity in at least one programming language (e.g., C, C++, Python, MATLAB) for testbench ...

... Python for cybersecurity solutions - Applying analytical thinking to complex DevSecOps challenges ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Python, Databricks, or Snowflake - Engaging in continuous learning to adapt to emerging data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Showing results 41-60

Entry Level Python Programmer information

See Lowell, MA salary details

$40

$67

$82

How much do entry level python programmer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level python programmer in Lowell, MA is $67.54, according to ZipRecruiter salary data. Most workers in this role earn between $61.97 and $71.54 per hour, depending on experience, location, and employer.

What does an entry level Python programmer do?

An Entry Level Python Programmer is responsible for writing, testing, and debugging simple Python code under the guidance of more experienced developers. They often assist with basic programming tasks, such as data manipulation, automation scripts, or web development using Python frameworks. Their main goal is to support projects while learning and improving their coding skills on the job. Entry level programmers commonly collaborate with team members, follow coding standards, and help troubleshoot software issues.

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

To thrive as an Entry Level Python Programmer, a solid understanding of Python fundamentals, basic algorithms, and problem-solving skills is essential, typically backed by a degree in computer science or relevant coursework. Familiarity with code versioning tools like Git, simple database systems such as SQLite or MySQL, and common frameworks like Flask or Django is often required. Attention to detail, eagerness to learn, and effective communication help individuals adapt and contribute to team projects. These skills and qualities are vital for writing reliable code, collaborating efficiently, and growing in a fast-paced tech environment.

What types of projects do entry level Python programmers typically work on, and how do these projects support career development?

Entry level Python programmers often start by working on tasks like writing scripts to automate repetitive processes, assisting with data cleaning for analytics teams, or contributing to the maintenance and debugging of existing codebases. These projects are designed to build foundational skills in coding, version control, and collaboration within a software development team. As you gain experience and demonstrate your abilities, you may be given opportunities to take on more complex assignments, such as developing new features or participating in code reviews, which can significantly support your professional growth.

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

AspectEntry Level Python ProgrammerData Analyst
Required SkillsPython, basic programming, scriptingExcel, SQL, data visualization, some Python
CertificationsNone required, but Python certifications helpfulNone required, but data analysis certifications beneficial
Work EnvironmentTech companies, startups, software firmsBusiness, finance, healthcare, consulting
Typical TasksWriting scripts, debugging, automationData collection, cleaning, analysis, reporting

While both roles involve working with data and programming, Entry Level Python Programmers focus on coding and automation using Python, often in tech environments. Data Analysts utilize Python alongside other tools to interpret data and generate insights in various industries. The roles overlap in technical skills but differ in primary responsibilities and industry focus.

What are popular job titles related to Entry Level Python Programmer jobs in Lowell, MA?

For Entry Level Python Programmer jobs in Lowell, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Programmer jobs in Lowell, MA look for?

The top searched job categories for Entry Level Python Programmer jobs in Lowell, MA are:

What cities near Lowell, MA are hiring for Entry Level Python Programmer jobs?

Cities near Lowell, MA with the most Entry Level Python Programmer job openings:

Infographic showing various Entry Level Python Programmer job openings in Lowell, MA as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $140,491 per year, or $67.5 per hour.

Machine Learning Analyst

Bracebridge Capital

Boston, MA โ€ข On-site

$110K - $145K/yr

Full-time

Re-posted 6 days ago


Job description

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning team. The team's primary mission is to develop machine learning systems to answer open-ended investment questions and support portfolio management decisions. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production. Our work spans statistical modeling, classical machine learning, and modern AI and LLM techniques.

The Machine Learning Analyst's primary responsibility will be to contribute to these efforts alongside other team members. Over time, you will develop the technical and domain expertise needed to take increasing ownership of individual components and ultimately end-to-end projects.

The work is highly collaborative and spans quantitative research, software engineering, and machine learning. Analysts work with other members of the machine learning team and portfolio managers to translate loosely defined investment ideas into practical tools and models. Successful candidates will have solid programming foundations, be comfortable translating between qualitative and quantitative descriptions of problems and be excited to build data analysis and machine learning systems against the backdrop of portfolio management.

Since the team works closely with trading floor personnel to assist with portfolio management decision-making, an interest in economic and financial markets is essential, but no specific prior experience is necessary.

This role is open to candidates available to begin in the near term, as well as students expecting to complete their undergraduate degree between Fall 2026 and Summer 2027. Start dates will be determined based on candidate availability and, for students, degree completion.

ย Responsibilities:

  • Collaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems
  • Develop and evaluate data-driven machine learning and quantitative models, including simulation- and optimization-based approaches, for investment-related problems
  • Contribute to maintaining existing models and analytic tools in production
  • Over time, take ownership of individual features and components and full projects
  • Clearly document and communicate methods, assumptions, results, and limitations of models to other researchers and trading professionals across the firm
  • Stay current with relevant new techniques and technologies in machine learning and artificial intelligence, particularly as they pertain to finance and investing

Qualifications:

  • Bachelor's degree (or equivalent) in a rigorous quantitative field
  • 0-2 years of experience through industry internships, undergraduate research or thesis, or substantial independent technical projects involving software development, data analysis, or machine learning
  • Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus
  • Experience working with and analyzing data from multiple sources and in multiple formats
  • Familiarity with machine learning and statistical modeling fundamentals, including model evaluation and experimental design
  • Demonstrated ability to independently scope and execute open-ended technical projects
  • Interest in financial markets, intellectual curiosity, and comfort in working on open-ended problems
  • Strong written and verbal communication skills

Current anticipated annual base salary range: $110,000 - $145,000

Base salary within the range will be determined by various factors including but not limited to the individual's experience, skills and qualifications.