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Entry Level Python Data Science Jobs in Indianapolis, IN

STI

Data Analyst

Indianapolis, IN · On-site

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

You will partner closely with data architects, analytics engineers, data scientists, business ... Python for data engineering - pandas, PySpark, REST API integration, unit testing (pytest). • ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

You will partner closely with data architects, analytics engineers, data scientists, business ... Python for data engineering -- pandas, PySpark, REST API integration, unit testing (pytest). • ...

Duke Energy

Engineer II

Plainfield, IN · Hybrid

Bachelor of Science in Engineering from an ABET accredited program * 2 years related work ... Software/script development in a variety of languages (SQL/Python) * Data Analysis and solution ...

Indianapolis Colts

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, or a related field ... SQL and Python. • Familiarity with Microsoft Azure and cloud-based data platforms. • ...

AEG

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

QUALIFICATIONS • Bachelor's degree in Computer Science, Information Systems, or a related field ... SQL and Python. • Familiarity with Microsoft Azure and cloud-based data platforms. • ...

MISO

AI Engineer

Carmel, IN · On-site

$152K - $177K/yr

Collaborating with a multidisciplinary team of data scientists, data engineers, and software ... Strong programming skills in Python and R (including libraries like scikit-learn, PyTorch, or ...

OPENLANE

Revenue Operations Analyst

Carmel, IN · On-site

$70K - $95K/yr

Bachelor's degree in Business, Economics, Data Science, Finance or related field (Master ... Strong analytical and technical skills, including proficiency in SQL and Python for data querying ...

Lilly

Sr. Scientist - TS/MS Digital Plant

Lebanon, IN · On-site

$87K - $119K/yr

... Science (TS/MS) team and provides technical leadership and expertise in the development ... Proficiency in data analysis, visualization, and statistical tools (e.g., Python, R, SIMCA, JMP)

Accenture

Data Protection Sr. Analyst

Indianapolis, IN · Hybrid

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Varsity Tutors

Machine Learning Tutor

Indianapolis, IN · Remote

$40/hr

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

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Entry Level Python Data Science information

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

As of Jun 15, 2026, the average hourly pay for entry level python data science in Indianapolis, IN is $56.03, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.65 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, and why are they important?

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 Indianapolis, IN? The most popular types of Python Data Science jobs in Indianapolis, IN are:
What are popular job titles related to Entry Level Python Data Science jobs in Indianapolis, IN? For Entry Level Python Data Science jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Indianapolis, IN look for? The top searched job categories for Entry Level Python Data Science jobs in Indianapolis, IN are:
Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Indianapolis, IN as of June 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $116,551 per year, or $56 per hour.

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Posted 22 days ago

Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

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