Senior Data Scientist - AI/ML
First seen by Alion on Oct 5, 2026.
Role Overview :
We are looking for a highly skilled Senior Data Scientist / AI-ML Engineer with 5+ years of experience in designing and developing AI/ML models, advanced analytics, and data science solutions. The role involves hands-on work with Python, statistical modelling, exploratory data analysis, and cloud AI/ML technologies such as Azure Machine Learning and Databricks.
The ideal candidate will have strong Energy/Oil & Gas domain knowledge, the ability to translate complex data into actionable business insights, and experience collaborating with cross-functional teams to deliver scalable, high-quality solutions aligned with business goals.
Roles and Responsibilities :
- 5 years in designing and developing AI/ML models.
- Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development).
- Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred).
- Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows.
- Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualise data, and identify actions to reach needed results.
- Ability to quickly assess current state and apply technical concepts across cross-functional business workflows.
- Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.
- Ability to translate complex data into actionable insights that drive business value.
- Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes.
- Demonstrated ability to adjust behaviour based on feedback and provide feedback to others.
- Team-oriented mindset with effective communication skills and the ability to work collaboratively.
What would you do here :
- Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various business challenges.
- Collaborate closely with the AI Technical Manager and Petro-technical professionals and data engineers to integrate models into the business framework.
- Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help businesses gain insight and improve decision making, workflow, and automation.
- Understand and communicate the value of proposed opportunity with team members and other stakeholders.
- Identify needed data and appropriate technology to solve identified business challenges.
- Clean data and develop and test models.
- Establish the life cycle management process for models.
- Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
- Drive innovation in AI/ML to enhance capabilities in data-driven decision-making.
- Aligns with the team on shared goals and outcomes, recognizes others' contributions, and work collaboratively & seek diverse perspectives.
- Takes actions to develop self and others beyond existing skillsets.
- Encourages innovative ideas, adapts to change and changing technologies.
- Understand and communicate data, insights, and model behaviours to stakeholders with varying levels of technical expertise.
Skills
Data Science, Data Scientist, Artificial Intelligence, Machine Learning, Azure, Databricks, Python, Analytics, Cloud