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Data Scientist Intern- Quantitative Analytics, Trading

Applications are closed

  • Internship
    Full-time
    Placement Program
  • Data
    IT & Cybersecurity
  • London

Requirements

  • Currently pursuing or having recently completed a degree in Computer Science, Data Science, Engineering, or a related field.
  • Strong skills in Python, with excellent knowledge of Pandas and Object-Oriented Programming (OOP) principles.
  • Proven ability in using SQL and working with relational databases.
  • Experience with dashboarding tools such as Dash, Power BI, or Tableau.
  • Must have personal projects or coursework that demonstrate experience in a complex codebase focusing on scraping and processing data, building APIs, and visualizing outcomes.
  • Strong analytical and problem-solving skills with the ability to translate complex requirements into actionable projects.
  • Familiarity with version control using Git.
  • A foundational understanding of statistics.

Responsibilities

  • Utilize our tools and infrastructure to integrate new data sources. Responsible for storing and transforming data into formats suitable for analysis.
  • Design and build new APIs for efficient data access.
  • Create and manage new visualizations on both existing and new datasets to support analytics used by traders.
  • Work closely with traders to understand their data needs and translate these requirements into functional projects.
  • Maintain clear and well-documented code to support team understanding and project continuity.

FAQs

What is the duration of the internship?

The duration of the internship is 12 months, full time.

Where is the internship located?

The internship is located in London.

When is the expected start date for the internship?

The expected start date for the internship is as soon as possible.

What qualifications are required for the internship?

Candidates should be currently pursuing or have recently completed a degree in Computer Science, Data Science, Engineering, or a related field.

What programming skills are necessary for this position?

Strong skills in Python, particularly with knowledge of Pandas and Object-Oriented Programming (OOP) principles, are necessary.

Is experience with SQL required?

Yes, proven ability in using SQL and working with relational databases is required.

What tools should candidates be familiar with for data visualization?

Candidates should have experience with dashboarding tools such as Dash, Power BI, or Tableau.

Does the internship involve working closely with traders?

Yes, the intern will work closely with traders to understand their data needs and translate these requirements into functional projects.

Are there any preferred qualifications?

Familiarity with version control using Git and a foundational understanding of statistics are considered nice to have.

What are the benefits of working at Statkraft?

Benefits include professional and personal development, a positive working environment, a diverse workplace, and the opportunity to contribute to renewable energy efforts.

Is there an opportunity for career advancement within Statkraft?

Yes, there are many amazing opportunities for career advancement within the company, which is experiencing strong growth.

Does Statkraft offer competitive employment terms?

Yes, Statkraft offers competitive terms of employment and benefits schemes.

Is eligibility for security clearance required for applicants?

Yes, applicants must be eligible for security clearance and authorization.

Providing pure energy

Energy
Industry
5001-10,000
Employees
1895
Founded Year

Mission & Purpose

Statkraft is a leading company in hydropower internationally and Europe’s largest generator of renewable energy. The Group produces hydropower, wind power, solar power, gas-fired power and supplies district heating. Statkraft is a global company in energy market operations. Statkraft has over 5,300 employees in 21 countries.

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