10 дней назад
Data Scientist Intern - 2027 (Python)
4 350GBP
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist Intern - 2027 (Python): Extracting and validating information from large datasets to support research, automated trading, and risk management with an accent on data normalization, feature extraction, and rigorous quality checks. Focus on investigating vendor, quantitative, and textual data with Python, pandas, and polars while developing practical knowledge of algorithmic trading and financial markets.
Location: London, United Kingdom
Salary: 4,350 GBP per week, plus company-paid housing, meals, and other perks.
Company
applies scientific methods and advanced computing to research, automated trading, and risk management in global financial markets.
What you will do
- Normalize and validate vendor data for research and trading.
- Extract features from quantitative and textual datasets.
- Apply rigorous quality checks and investigate data quality methodologies.
- Complete independent data investigation projects using Python and open-source libraries such as pandas and polars.
- Learn about research and trading infrastructure through technical projects and mentorship.
Requirements
- Be a full-time student pursuing a STEM degree.
- Have programming experience with Python at the level of “Python for Data Analysis” by Wes McKinney.
- Show curiosity about working with data and finding insights.
- Demonstrate exceptional attention to detail and strong communication skills.
Nice to have
- Independent data projects or participation in Kaggle competitions.
Culture & Benefits
- Hands-on introduction to data, modeling, and engineering practices in algorithmic trading.
- Mentorship and opportunities to learn about global financial markets.
- Company-paid housing, meals, and other perks.
- Opportunities to connect with interns and participate in team events.
- Open and transparent culture that values ideas from new hires and experienced colleagues.
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