Pay: Salary not listed in the saved posting
Work setup: Unconfirmed
Employment: Unconfirmed

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What you’ll bring

All qualifications

Core experience

Experience using ML libraries, such as Scikit-learn, caret, NLTK or spark MLlib
Knowledge of Docker and Git
Experience using data visualization tools such Power BI, Tableau, etc.
Ability to work independently in a home office and doesn’t need hand holding

Qualification wording

Experience using ML libraries, such as Scikit-learn, caret, NLTK or spark MLlib

Knowledge of Docker and Git

Experience using data visualization tools such Power BI, Tableau, etc.

Ability to work independently in a home office and doesn’t need hand holding

Education & alternatives

Requirements • Pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Ph.D. candidates encouraged to apply) • Experience using ML libraries, such as Scikit-learn, caret, NLTK or spark MLlib

Nice To Have: • Pursuing/Completed Ph.D./Masters in Finance, Economics or Business • Have built quantitative models either in course work or in other internships is a plus

Tools in this posting

Python
SQL
Docker
Spark
Tableau
Power BI
scikit-learn

Source

We are looking to hire incredible Data Scientists interested in working with a US Startup. If you are truly passionate about designing and building machine learning solutions using python, you’re looking for a job where you can work from anywhere- and we mean anywhere and are excited about gaining experience in a Startup, then this is the position for you. Be it your next vacation spot or a farm out in the country, if you have working internet, you can work remotely from your chosen location. No long commutes or rushing to in-person meetings. Ready to work hard and play harder? Let’s work together. [Note: As part of the application process, candidates must complete the pre-screening behavioral assessment form. Without it, we will not consider candidates for this position.]

• Experience using ML libraries, such as Scikit-learn, caret, NLTK or spark MLlib • Excellent Software skills (proficiency in Python - Data Science stack) • Build statistical and ML models to evaluate the historical performance and define predictive and prescriptive solutions

• Data gathering, data cleaning, building data models, and maintaining datasets • Complete data preparation, data testing using Python (ETL), and a big part of day-to-day function • Develop dashboards, charts, and visual aids to support decision making

• Utilize statistical techniques to help develop analytic insights, sound hypotheses, and informed recommendations • Conduct ad hoc quantitative analyses, modeling, or programming using Python and SQL • Diagnosing and resolving issues in production

• Data Engineering experience/coursework and ability to integrate multiple data sources • Has in depth working knowledge of SQL, relational databases, and a solid foundation in MS-Excel • Experience using data visualization tools such Power BI, Tableau, etc.

• Comfortable with UNIX Operating System • Knowledge of Docker and Git • Strong analytical, design, problem-solving, and troubleshooting/debugging skills

• Pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Ph.D. candidates encouraged to apply) • Experience using ML libraries, such as Scikit-learn, caret, NLTK or spark MLlib • Excellent Software skills (proficiency in Python - Data Science stack)

• Has in depth working knowledge of SQL, relational databases, and a solid foundation in MS-Excel • Experience using data visualization tools such Power BI, Tableau, etc. • Comfortable with UNIX Operating System

Benefits in the posting

Full benefits wording

Flexible Hours
Competitive Stipend/Salary
Note:
Please only submit your assignment as a zip attachment in an email. Any other forms of submission will be auto-rejected

From the employer’s posting.

Job description

View original posting ↗

We are looking to hire incredible Data Scientists interested in working with a US Startup. If you are truly passionate about designing and building machine learning solutions using python, you’re looking for a job where you can work from anywhere- and we mean anywhere and are excited about gaining experience in a Startup, then this is the position for you. Be it your next vacation spot or a farm out in the country, if you have working internet, you can work remotely from your chosen location. No long commutes or rushing to in-person meetings. Ready to work hard and play harder? Let’s work together.

[Note: As part of the application process, candidates must complete the pre-screening behavioral assessment form. Without it, we will not consider candidates for this position.]

Requirements

• Pre-final year student in Statistics/Math, Computer Science, Finance/Economics, or related quantitative fields (Ph.D. candidates encouraged to apply)

• Experience using ML libraries, such as Scikit-learn, caret, NLTK or spark MLlib

• Excellent Software skills (proficiency in Python - Data Science stack)

• Build statistical and ML models to evaluate the historical performance and define predictive and prescriptive solutions

• Data Engineering experience/coursework and ability to integrate multiple data sources

• Has in depth working knowledge of SQL, relational databases, and a solid foundation in MS-Excel

• Experience using data visualization tools such Power BI, Tableau, etc.

• Comfortable with UNIX Operating System

• Knowledge of Docker and Git

• Strong analytical, design, problem-solving, and troubleshooting/debugging skills

• Ability to work independently in a home office and doesn’t need hand holding

What You’ll Do, But Not Limited To:

• Under the general direction of senior researchers, conduct empirical research using public and proprietary data

• Data gathering, data cleaning, building data models, and maintaining datasets

• Complete data preparation, data testing using Python (ETL), and a big part of day-to-day function

• Develop dashboards, charts, and visual aids to support decision making

• Utilize statistical techniques to help develop analytic insights, sound hypotheses, and informed recommendations

• Conduct ad hoc quantitative analyses, modeling, or programming using Python and SQL

• Diagnosing and resolving issues in production

• Enhancing and developing all aspects of the company’s technology suite by collaborating with development teams to determine application requirements

• Assessing and prioritizing client feature requests

Who You Are:

• Highly Quantitative - your skills are the envy of all your friends

• Reliable, Independent, and able to wear multiple hats

• Honest - we hold transparency with high regard

• Team Player - likes collaborating and working as a team

• Communicative - Strong verbal and written communication skills

• Self-Starter - able to take ownership of projects and identify what needs to be done

• Builder - You are passionate about delivering better products/experiences to our customers and have a deep sense of ownership for your work

• Experimental - You love trying new things, new tools, techniques and approaches even if you fail sometimes

Nice To Have:

• Pursuing/Completed Ph.D./Masters in Finance, Economics or Business

• Have built quantitative models either in course work or in other internships is a plus

• Intellectually curious and eager to learn about Finance (Investments and Corporate Finance)

• Prior internship experience in Financial Services

Benefits

• Flexible Hours

• Competitive Stipend/Salary

Note:

• Zero-tolerance policy for plagiarism on the screening test. Any indication that the submission contains a solution generated by AI platforms like ChatGPT will lead to immediate disqualification.

• Please only submit your assignment as a zip attachment in an email. Any other forms of submission will be auto-rejected

• Preference will be given to candidates from top schools at Pune University, Mumbai University, NIT, IISER, TIFR, IIT, ISI or a top schools in USA/UK

Your next step

Have your CV and examples of relevant work ready.
Check the listed location, eligibility and core experience before starting.
Ask the employer about the salary range before committing time to the process.

Complete your application on dendrite.zohorecruit.in. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

Pune City, India

Working pattern and location restrictions need checking in the full posting.

Work authorization

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Open source at dendrite.zohorecruit.in ↗Read the full description ↓

Status in our records: Active
First seen by us: Jun 3, 2026
Recorded sightings: 45
Last seen by us: Oct 1, 2026

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Internship - Seeking Data Scientist Intern that prioritizes work/life balance(Masters/Ph.D. candidates only)