Lead Data Scientist, Predictive Modelling

We value our people and encourage everyone to grow professionally. If you think this opportunity is right for you, we encourage you to apply!

Job Description:

• Lead the design, development, and deployment of predictive models for Upstream and Downstream business segments.

• Collaborate with cross-functional teams to identify key business challenges that can be addressed through data science solutions.

• Mentor junior data scientists, ensuring the development of a skilled team capable of handling future challenges.

• Independently manage data science projects from conceptualization to execution, including data preparation, model building, and post-implementation reviews.

• Ensure the scalability and robustness of machine learning models, integrating them seamlessly into the company’s decision-making processes.

• Advise the team on new software / technology that should be utilized within the function for an overall increase in effectiveness

• Work closely with the BI and analytics teams to ensure data alignment and integration across operations.

Job Requirements

• Degree in Computer Science, Statistics, Engineering, or similar quantitative disciplines. Master’s / PhD in the disciplines above is desirable.

• 5+ years related experience building advanced analytical and machine learning models in predictive/prescriptive analytics.

• Experience writing clean and maintainable code using Python, R and related packages, or similar data programming languages.

• Machine Learning with R, Python or similar certification is desirable.

• Microsoft Azure or AWS Certified Data Scientist/ML engineer will stand out.

• Strong know-how of software engineering concepts and experience with Agile development practices.

• Managed / trained junior team members on data science projects.

• Combination of a big company and a startup experience a plus.

To apply, please submit your resume and cover letter outlining your interest for this role.