Data Scientist
About Our Client
Our client is a well-established company within the Oil & Gas & Supply Chain industry. Our products deliver intelligent fuel management systems by integrating fuel card data and live tracking date, resulting in savings on fuel.
Job Description
The Successful Data Scientist will be responsible for but not limited to:
• Develop and implement data analyses, data collection systems and other strategies that optimise statistical efficiency and quality.
• Identify, analyse, and interpret trends or patterns in complex data sets.
• Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and correct code problems.
• Work closely with management to prioritise business and information needs.
• Locate and define new process improvement opportunities within the Logistics Distribution and Supply Chain industry.
• Handle data-driven decisions and translate data into an understandable document.
The Successful Applicant
The successful Data Scientist should have:
• A degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.
• Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient knowledge of a variety of machine learning algorithms and their real-world advantages/drawbacks.
• Good applied statistics skills, such as distributions, statistical testing, and regression.
• Great communication skills with the ability to explain complex processes in an understandable manner.
What's on Offer
• Competitive salary range of £55,000 - £65,000 per annum.
• A comprehensive benefits package which can be shared.
• A vibrant, positive work environment at a leading company in the Oil & Gas industry.
• Great opportunities for professional development and growth within the company.
The successful candidate will find this position to be both challenging and rewarding, offering an excellent opportunity to build on their existing skills. We encourage all interested candidates to apply.
Our client is a well-established company within the Oil & Gas & Supply Chain industry. Our products deliver intelligent fuel management systems by integrating fuel card data and live tracking date, resulting in savings on fuel.
Job Description
The Successful Data Scientist will be responsible for but not limited to:
• Develop and implement data analyses, data collection systems and other strategies that optimise statistical efficiency and quality.
• Identify, analyse, and interpret trends or patterns in complex data sets.
• Filter and "clean" data, and review computer reports, printouts, and performance indicators to locate and correct code problems.
• Work closely with management to prioritise business and information needs.
• Locate and define new process improvement opportunities within the Logistics Distribution and Supply Chain industry.
• Handle data-driven decisions and translate data into an understandable document.
The Successful Applicant
The successful Data Scientist should have:
• A degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.
• Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy.
• Proficient knowledge of a variety of machine learning algorithms and their real-world advantages/drawbacks.
• Good applied statistics skills, such as distributions, statistical testing, and regression.
• Great communication skills with the ability to explain complex processes in an understandable manner.
What's on Offer
• Competitive salary range of £55,000 - £65,000 per annum.
• A comprehensive benefits package which can be shared.
• A vibrant, positive work environment at a leading company in the Oil & Gas industry.
• Great opportunities for professional development and growth within the company.
The successful candidate will find this position to be both challenging and rewarding, offering an excellent opportunity to build on their existing skills. We encourage all interested candidates to apply.
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