Data Scientist

Our client is seeking a Data Scientist to join their dynamic team. This is an exciting opportunity to utilise vast amounts of data to inform commercial decisions and improve business efficiency. The role will evolve over time, offering the chance to mine and analyse data, providing meaningful insights for data-led decisions. You'll be working closely with the commercial team, testing various hypotheses and identifying trends, patterns, and insights that drive strategic decisions.

What you'll do:

As a Data Scientist, your role will be pivotal in exploring new ways to utilise vast amounts of data. Your analytical skills will be put to use as you work with large volumes of financial/trading data, identifying trends and patterns that can inform strategic decisions. You'll collaborate on the development of machine learning models, optimising business processes and forecasting financial outcomes. Your ability to develop data-driven solutions will be key as you create algorithms and tools that automate decision-making across the company. Working closely with cross-functional teams, you'll align data science initiatives with business goals and validate findings. Lastly, your knack for visualising data insights will come into play as you build interactive dashboards and reports.

• Analyse complex datasets to identify trends, patterns, and insights
• Support predictive modelling through the development of machine learning models
• Develop data-driven solutions by creating algorithms and tools that enhance decision-making
• Collaborate with finance, trading teams, and IT to align data science initiatives with business goals
• Visualise data insights by building and maintaining interactive dashboards and reports
• Communicate findings clearly to both technical and non-technical audiences

What you bring:

The ideal candidate for this Data Scientist role brings a strong academic background in a STEM field along with proficiency in programming languages like Python and SQL. Your understanding of machine learning techniques and algorithms will be crucial in supporting predictive modelling efforts. Experience with data visualization tools like Tableau/Power BI is essential for presenting data effectively. Strong analytical skills are required for interpreting complex data while excellent communication skills are necessary for conveying findings clearly to diverse audiences.

• Bachelor’s degree in a STEM field such as Statistics, Mathematics, Computer Science or Engineering
• Proficiency in programming languages like Python and SQL for data analysis and modelling
• Basic understanding of machine learning techniques and algorithms
• Experience with data visualization tools like Tableau/Power BI
• Strong analytical skills with the ability to interpret complex data
• Excellent communication skills to convey findings clearly to both technical and non-technical audiences

Job Details:

Contract Type: FULL_TIME
Specialism: Information Technology
Focus: Data Science & AI Research
Industry: Oil and Gas
Workplace Type: On-site
Experience Level: Entry Level
Location: London
Salary: £35,000 - £45,000 per annum

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