Logo of Huzzle

DATA SCIENTIST

  • Job
    Full-time
    Entry Level
  • London

AI generated summary

  • You should possess strong analytical skills, experience with data analysis tools, proficiency in programming (Python/R), and a solid understanding of statistical methods for effective problem-solving.
  • You will analyze data, develop predictive models, interpret results, and collaborate with teams to drive data-informed decisions in marketing and trading strategies.

Requirements

  • Experience and Expertise: Strong background in data analysis, modeling, and visualization, particularly working with large datasets and LLMs.
  • Technical Skills: Proficiency in Python and experience with LLM frameworks and libraries.
  • Statistical Knowledge: Solid understanding of statistical modeling techniques such as regression and time series analysis.
  • Research and Analytical Skills: Ability to conduct thorough research and analysis to inform trading strategies.
  • Educational Background: Degree qualified in a STEM field or equivalent experience, with a solid foundation in data science and machine learning.
  • Trading Acumen: Basic understanding of trading, ideally in commodities or other markets, with a willingness to learn and adapt.

Responsibilities

  • Your responsibilities will include data analysis and insight generation involving analysing large and complex time series data to uncover patterns, trends, and insights using Language Models (LLMs). This process requires a deep understanding of data interpretation and the ability to extract meaningful information from extensive datasets, allowing for informed decision-making and strategic planning based on identified trends.
  • In addition to analysis, Data Management plays a crucial role. This entails developing and maintaining databases and data pipelines to ensure efficient data processing and analysis. Effective data management guarantees that the data is organized, accessible, and ready for analysis, facilitating a seamless flow of information and supporting the overall data analysis process.
  • Research and Development: Conduct cutting-edge research and analysis to improve the accuracy and efficiency of trading decisions.
  • Visualization and Reporting: Create sophisticated visualizations and comprehensive reports to effectively communicate results and insights to stakeholders.
  • Model and Algorithm Development: Develop and implement advanced statistical models and algorithms to support and optimize trading strategies.
  • Performance Monitoring: Continuously monitor and evaluate the performance of trading strategies, making data-driven recommendations for improvement.
  • Market Knowledge Application: Apply and expand your understanding of market structures to enhance trading outcomes.

FAQs

What is the primary role of a Data Scientist in the Digital Trading team at SEFE?

The primary role of a Data Scientist in the Digital Trading team at SEFE is to leverage expertise in Large Language Models (LLMs) to analyze and interpret extensive time series data, identify trends and patterns, and refine trading strategies to enhance the automated trading infrastructure.

What are the main responsibilities of this position?

Main responsibilities include conducting data analysis and generating insights from large time series datasets, developing and maintaining databases and data pipelines, conducting research and development to improve trading decisions, creating visualizations and reports, developing statistical models and algorithms, monitoring trading strategies, and applying market knowledge to enhance outcomes.

What technical skills are required for this Data Scientist position?

Required technical skills include proficiency in Python, experience with LLM frameworks and libraries, and a solid understanding of statistical modeling techniques such as regression and time series analysis.

What kind of educational background is preferred for candidates applying for this role?

Candidates are preferred to have a degree in a STEM field or equivalent experience, along with a solid foundation in data science and machine learning.

Is there any specific industry experience required for this position?

Yes, the ideal candidate should have several years of experience in finance working with financial securities time series and/or professional experience with real LLM projects.

What opportunities for career growth does SEFE offer to Data Scientists?

SEFE offers opportunities for career growth through a blended approach to learning, providing resources to develop knowledge and experience, and fostering a supportive environment for professional development.

What are some benefits provided by SEFE to its employees?

Benefits include a competitive starting salary, bonus earning potential, non-contributory pension, 25 days holiday plus bank holidays and 2 volunteering days, life assurance, medical and dental insurance, and a range of optional flexible benefits.

Does SEFE offer flexible working arrangements for this position?

Yes, SEFE offers hybrid working arrangements, allowing employees to work from home for a portion of the week.

What type of market understanding is advantageous for a Data Scientist in this role?

A basic understanding of trading, ideally in commodities or other markets, is advantageous, along with a willingness to learn and adapt.

How does SEFE view diversity and inclusion in the workplace?

SEFE is committed to creating an inclusive environment that embraces diversity and fosters the development of knowledge, skills, and experience for all employees.

Energy
Industry
501-1000
Employees

Mission & Purpose

Growing from a single office in London in 1999 into the worldwide organisation it is today, SEFE Marketing & Trading Limited (SM&T) is part of the SEFE Group – led by SEFE Securing Energy for Europe GmbH in Berlin, which has approximately 1,500 employees. But we didn’t get to where we are without the dedicated and driven workforce that makes up SM&T’s international operations. With subsidiaries in the UK, Switzerland, Singapore and France, our extensive team is made up of a diverse range of staff who are committed to delivering our vision and strategic goals. Powered by innovation and a passion for excellence, along with teamwork, the SM&T team helps to deliver highly tailored and inventive energy solutions to our customers. Working in an environment where growth and learning flourishes, the wealth of expertise, knowledge and experience brought by each employee makes SM&T a truly exciting place to work.