Job Title: Data Scientist
Job Location: Douglas House / Remote
Contract Length: 3 Months (Initially, opening to 6/12 Months +)
Industry: Oil and Energy, Tech
Key Requirements: Strong Python engineering experience, Practiced and deployed LLM/Machine learning models
Engagement via an umbrella company only
What you will do:
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Part of a cross-disciplinary team, working closely with other data scientists, data engineers software engineers, data managers and business partners.
- Build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
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Adhere to and advocate for data science best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).
- Actively contribute to improve developer velocity.
What you will have:
Essential
- MSc or PhD degree in a quantitative field.
- Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
- Applied knowledge of data science tools and approaches across all data lifecycle stages.
- Thorough understanding of underlying mathematical foundations of statistics and machine learning.
- Development experience in one or more object-oriented programming languages
- Advanced SQL knowledge.
- Knowledge of experimental design and analysis.
- Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
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Strong stakeholder management and ability to lead large organizations through influence.
- Continuous learning and improvement mindset.
Desired
- Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.
- No prior experience in the energy industry required.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.