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Python Analytics Jobs in New York (NOW HIRING)

Starr

AI/ML Engineer

Manhattan, NY · On-site

... or Python analytics experience with a proven track record in advanced analytics as well as hands-on experience with digital and CRM data (structured and unstructured). • Proven ability to ...

Software Guidance & Assistance

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Responsible for data extraction and analysis from structured and unstructured sources, while ... Design, develop, and implement scalable backend systems using Python, with a focus on microservices ...

Software Guidance & Assistance

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Focuses on developing robust Python-based services, APIs, and data processing systems that support ... Responsible for data extraction and analysis from structured and unstructured sources, while ...

MM International

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Role: Python Developer Location: Can sit hybrid 3 times a week in Jersey City or Charlotte ... to analyze complex data from multiple sources and objectively make reasoned judgment. Task ...

Apex Informatics

Python Developer

Manhattan, NY · On-site

$55.25 - $76.25/hr

... analytic libraries on trade and market data to generate risk/PnL values - Demonstrated experience in working on business facing projects related to trading and/or market risk - Experience in ...

Software Guidance & Assistance

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Work with Risk users, analysts, and technology teams for user acceptance testing, and to ensure a smooth deployment of the solutions in production * Deliver robust Python solutions, including scripts ...

Conch Technologies Inc

SQL/Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SQL/Python Developer Location: Jersey City, NJ or Dallas, TX (Hybrid - 3 Days Onsite) Duration: 6 ... Strong analytical, troubleshooting, and problem-solving skills * Excellent communication and ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

We are also focused on bulk data management and data analysis. We are an authorized reseller (both ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

ACI Infotech

Python Developer

Jersey City, NJ · On-site

$52.25 - $72/hr

Greeting from ACI Python Developer with AWS USC / GC H1B Transfers are accepted * 8 years software ... Experience with continuous integration, unit testing, static analysis, and automated integration ...

Grinteq

Python Developer

Manhattan, NY · On-site

$40/hr

... analytics on the frontend. Responsibilities and duties * Take ownership of backend to frontend ... Python proficiency and working knowledge of a Python framework is a must, familiarity with Django ...

Covetus, LLC

Databricks Python Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

... Python Developer: Must Have Technical/Functional Skills: • 10+ years of experience in Data ... analytical, debugging, and performance tuning skills. • Excellent verbal and written ...

New

Sincera Technologies, Inc.

Python Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

* Strong experience in Python development. * Hands-on experience with CCAR stress testing or other ... Experience with Liquidity Stress Testing, Interest Rate Risk (IRR) analytics, sensitivity analysis ...

TecTammina

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

The Candidate must be able to write good quality Python Code to meet project requirements. Expected ... Analytical and Problem-Solving Skill Experience in understanding the business area and user ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

We are also focused on bulk data management and data analysis. We are an authorized reseller (both ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

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Showing results 21-40

All JobsPython Analytics JobsPython Analytics Jobs in New York

Python Analytics information

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What are popular job titles related to Python Analytics jobs in New York? For Python Analytics jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in New York look for? The top searched job categories for Python Analytics jobs in New York are:
What cities in New York are hiring for Python Analytics jobs? Cities in New York with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in New York as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

AI/ML Engineer

Starr

Manhattan, NY • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Starr Insurance Companies is a leading insurance and investment organization, providing commercial property and casualty insurance. The AI/ML Engineer will uncover meaningful data patterns and transform them into actionable insights by leveraging predictive modeling, data mining, and machine learning algorithms.
Responsibilities:
• Work alongside Senior AI/ML Engineers to design, develop, and deploy AI/ML solutions with best practices in statistics, machine learning, deep learning, and foundational models to improve the profitability for Starr. Example includes classification models, forecasting, propensity and uplift modeling, foundational model fine-tuning, evaluation, and implementation, etc.
• Identify growth opportunities in underwriting, claims processing, risk assessment, and/or customer service through AI/ML augmentation.
• Collaborate cross-functionally with business, IT, and Transformation to drive scalability and impact of the AI/ML solutions.
• Communicate complex AI/ML concepts and findings to business leaders in a clear and concise manner.
Qualifications:
Required:
• Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Operational Research, or related disciplines. Ph.D. preferred.
• 2+ years of experience with advanced analytics techniques (e.g., decision tree, logistic regression, hierarchical regression, neural network, random forest, etc.)
• 2+ years expert level R or Python analytics experience with a proven track record in advanced analytics as well as hands-on experience with digital and CRM data (structured and unstructured).
• Proven ability to understand, cleanse, and integrate massive disparate data sets and demonstrated familiarity with data modeling workflow.
• Strong communication; ability to effectively translate complex analytics findings to business insights and recommendations.
Preferred:
• Internship or project experience in AI engineering, machine learning, or a related field, preferably within the insurance or financial services industry.
• Knowledge of actuarial science and insurance-specific data sets.
• Passionate about data science and self-motivated to stay abreast of advances in data science techniques.
• Desire to work in a team based dynamic and fast-paced business culture.
Company:
With 100+ years of experience across leading industries, We apply an innovation mindset, agile approach, And a global team with local expertise wherever you operate. Founded in 1919, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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