Our client is a commodities trading house with decades of experience in the physical and financial energy and commodities markets.
They provide a wide range of services to a substantial and diversified customer base that includes corporations, financial institutions, governments, and individuals.
Considering making an application for this job Check all the details in this job description, and then click on Apply.
Job Description/Overview: As a Data Scientist, you will play a pivotal role in shaping our data strategy and driving the development of advanced machine learning models, optimization, and time series forecasting solutions, specifically focused on the US and European Natural Gas Markets.
You will collaborate with cross-functional teams to design, implement, and optimize data pipelines and predictive models that inform trading decisions and enhance operational efficiency.
Job Responsibilities: Market Data Analysis: Conduct comprehensive analysis of data related to the US and European Natural Gas Markets, including historical price data, supply and demand trends, weather patterns along with many other drivers.
Utilize statistical and mathematical techniques to extract valuable insights.
Model Development: Develop and maintain quantitative models and algorithms to forecast gas market movements and trends.
Continuously improve these models based on real-time data and feedback from trading activities.
Data Interpretation: Interpret complex data sets and statistical results to identify patterns, correlations, and anomalies that have implications for gas trading strategies.
Translate these findings into actionable insights.
Research and Innovation: Stay up-to-date with industry research, market trends, and emerging technologies relevant to the European and US Gas Markets.
Explore new data sources and analytical techniques to enhance decision-making capabilities.
Job Requirements: 1-2 years' experience as a Data Scientist, with a strong focus on data analysis and time series forecasting.
Expertise in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
Proficient in SQL and experience with relational databases.
Strong analytical and problem-solving skills, with a keen attention to detail.
Knowledge of version control systems (e.g., Git).
Preferred Qualifications: Prior knowledge or experience in the gas and power markets or energy sector.
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Salary and Working Conditions: Competitive salary up to £70,000 + bonus.
Hybrid working arrangement (minimum 3 days in the London office).
#J-18808-Ljbffr