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Senior Data Scientist (Commodities)

Fuse Energy

London

On-site

GBP 150,000 - 200,000

Full time

30+ days ago

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Job summary

An innovative firm is on the lookout for a Senior Data Scientist to enhance their energy supply business. In this pivotal role, you will leverage your strong statistical background and programming skills in Python to develop and implement advanced models. Collaborating closely with the engineering team, you will ensure the accuracy of these models while navigating the complexities of credit risk management. This role not only offers the chance to make a significant impact in the energy sector but also provides a supportive environment for professional growth. If you're passionate about data science and eager to contribute to a forward-thinking company, this opportunity is for you.

Benefits

Competitive salary
Stock options sign-on bonus
Biannual bonus scheme
Fully expensed tech
28 days paid annual leave

Qualifications

  • 2+ years of experience as a data scientist with strong statistical and modeling skills.
  • Experience in the energy industry is a plus.

Responsibilities

  • Develop and implement models for the energy supply business using Python.
  • Conduct data analysis and modeling to support risk management decisions.

Skills

Python Programming
Statistical Analysis
Data Analysis
Collaboration Skills

Tools

Pandas
NumPy
SciPy

Job description

We are currently seeking a Senior Data Scientist with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a Senior Data Scientist, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models.

Responsibilities:
  1. Develop and implement models for our energy supply business using Python and other data science tools.
  2. Identify, analyze, and mitigate credit risk.
  3. Conduct data analysis and modeling to support risk management decisions.
  4. Stay current with industry developments and regulations related to credit risk management.
Minimum Requirements:
  1. 2+ years of experience as a data scientist.
  2. Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy.
  3. Strong statistical and modeling skills.
  4. Strong communication and collaboration skills.
  5. Experience in the energy industry is a plus.
Benefits:
  • Competitive salary and a stock options sign-on bonus
  • Biannual bonus scheme
  • Fully expensed tech to match your needs!
  • 28 days paid annual leave per year including public holiday
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