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Data Scientist/Engineer Intern- Quantitative Analytics, Gas Trading

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Statkraft

19d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • London
  • Quick Apply

AI generated summary

  • You must be pursuing/completed a degree in a relevant field, have strong Python skills (Pandas), SQL knowledge, and experience with version control, CI/CD, APIs, and data visualization.
  • You will optimize data pipelines, manage APIs, create visualizations, and collaborate with analysts and traders to meet data needs while maintaining clear, documented code for continuity.

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 other data science frameworks.
  • Experience working with version control (git) and CI/CD workflows.
  • Knowledge in common database technologies and experience using SQL and working with relational databases.
  • Experience with visualization / front-end tools such as Plotly Dash and python backends such as Flask.
  • 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.

Responsibilities

  • Optimize data pipelines and integrate new data sources. Responsible for data ingestion from source to analytics, including data transformations and normalization.
  • Maintain existing APIs, and provide input on new APIs for efficient data management.
  • Maintain, modify, and create data visualisations on both existing and new datasets to support analytics used by traders.
  • Work closely with analysts and 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 internship is for a duration of 6 months.

Where is the internship located?

The internship is located in London.

When does the internship start?

The internship is set to start as soon as possible.

What is the main focus of the Quantitative Analytics Unit in Trading?

The main focus of the Quantitative Analytics Unit is to drive forward Trading’s analytical agenda and enable the Trading Department to achieve its strategic targets.

What programming language should I be proficient in for this internship?

You should have strong skills in Python programming.

What are the key responsibilities of the Data Scientist/Engineer Intern?

Key responsibilities include optimizing data pipelines, maintaining APIs, creating data visualizations, and working closely with analysts and traders to understand their data needs.

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.

Is experience with version control necessary for this role?

Yes, experience working with version control (git) and CI/CD workflows is required.

Are there any "nice to have" qualifications for this job?

Yes, a foundational understanding of statistics and knowledge related to Trading and/or Energy Markets is considered a plus.

What type of work environment does Statkraft offer?

Statkraft offers a positive working environment characterized by competence, responsibility, and innovation.

Does Statkraft offer opportunities for professional development?

Yes, Statkraft offers professional and personal development opportunities in a company experiencing strong growth.

What type of projects will I be involved in during the internship?

You will be involved in enhancing trading analytics, drilling into new data sources, and developing visualizations that aid traders in their daily workflow.

Will I be working in teams, and who will I collaborate with?

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

What kind of tools or frameworks should I be familiar with for data visualization?

Familiarity with visualization tools such as Plotly Dash and Python backends like Flask is required.

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Statkraft

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.