Senior Data Scientist

Job Description

Senior Data ScientistLocation: Aberdeen (Hybrid Working)Salary: Up to £60k + Pension + 33days Holidays + Membership to Legal Access Scheme + Excellent BenefitsThe Client:Our client is a leading provider of data science and predictive analysis services for the oil and gas industry. The company work closely with oil and gas operating companies as a remote extension of their asset teams; helping them to solve complex problems,improve efficiency, reduce costs and mitigate risks by making better use of their operational data.The Role:The Senior Data Scientist will be required to design, build, deploy and maintain numerous AI/ML products, tools and technologies. This role will be involved in the building, maintaining, testing and deployment of in-house models used in theirdigital solution and emissions.AI solutions. Additionally, the Data Scientist will be required to provide analysis of large quantities of data, identifying anomalies, trends, and areas of further investigation while constantly looking to implement efficiencysavings in existing operational processes.Skills, Experience & Qualifications:

• Have 5-10 years experience in applied Data Science
• Be qualified to at least BSc level in Data Science / Applied Analytics or similar; PhD or other further qualification advantageous, but only if combined with proven practical track record
• Possess knowledge and experience of statistical modelling techniques, development of novel analytical approaches and use of mathematical / machine learning algorithms
• Have a proven ability in big data analysis, be able to identify anomalies and trends, and create and apply predictive models using a range of methodologies and approaches
• Have experience in working within a multi-discipline team

Personal Specification:

• Experienced in Principal component and multivariate techniques
• Proficient in Python and R (other programming languages beneficial)
• Experienced in predictive analytics, pattern recognition machine learning and AI
• Understands the importance of making analysis structured, repeatable and automated
• IOT / Machinery / Equipment / System data experience would be a bonus
• Proficient in MS Office
• Oil & Gas Experience advantageous
• Technically curious

Responsibilities and Duties:

• Support the development of tools and applications
• Undertake complex data analysis
• Articulate prioritised insights to various multi-disciplined stakeholders in a clear and concise manner
• Manage the portfolio of enhancements through supervision of the team of Data Scientists (delegated through the VP Data Science)
• Provide mentoring and development guidance to the Data Science team in the areas of advanced Data Science and Analytics | Machine Learning & AI
• Support the digital solution and emissions .AI platform development plan by making recommendations for innovative applications of advanced data science methodologies, including developing robust plans for execution covering enhancements and functionalityimprovements

Disposition:

• Ability to work independently on own initiative and to contribute as part of a team
• Willingness and ability to be flexible
• Ability to get on well with a wide variety of people across multiple disciplines
• Patient and able to cover the same issue with different people
• Able to work under pressure, meet deadlines and handle multiple tasks
• Able to use initiative effectively
• Accurate and pays attention to detail
• High energy, can-do attitude

Important Information: We endeavor to process your personal data in a fair and transparent manner. In applying for this role, Additional Resources will be acting in your best interest and may contact you in relation to the role, either by email, phoneor text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy orGDPR please contact us.Additional Resources are an Employment Business and an Employment Agency as defined within The Conduct of Employment Agencies & Employment Businesses Regulations 2003.

Keyskills :
Data ScienceBig DataData Engineerstatistical modellingData Scientist