Data Scientist
ago
Location
Waterloo, London
Hybrid
Salary
Competitive
Employment Type
Full Time
Experience Level
Entry
Junior
Mid
Senior
Expert
Our Client
Global Energy Company
SPECIALTY
Upstream/Downstream, Bio-Fuels, Integrated Gas, New Energies, Chemicals, Energy and Trading
INDUSTRY
Energy
Company Size
80000+ Employees
Aubay's Take
Our client is one of the Super Major global energy companies with who are working to power progress through cleaner energy solutions. You will have the opportunity to work in a challenging but rewarding environment that is fast paced and changing fundamentally, and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050, whilst delivering a world class business case that has a strong societal license to operate. In your role you will be expected to enact change and deliver value globally across business lines and geographies.
Benefits from Aubay
At Aubay UK, people are at the heart of our business. We offer a competitive remunerations package which includes a range of benefits. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client.
25 Days Annual Leave
Work From Home Opportunities
Pension Scheme
Opportunities to Work Directly with our Client
Training Opportunities
Discount Holidays at I'Aero Chalet
Role Summary
Aubay UK is seeking a Data Scientist to join an Industrial AI function delivering advanced data science, generative AI, and analytical capability across global business lines. The role focuses on applying cutting‑edge methods to real‑world operational, R&D, financial, and software‑driven challenges. The successful candidate will contribute both as an individual technical expert and as a collaborator within multidisciplinary teams, helping shape data‑driven decision‑making and accelerating the adoption of AI across the organisation.
Required Skills and Experience:
- Data science expertise with hands‑on application in industry or engineering environments.
- Python coding with strong practical experience building analytical models and workflows.
- Generative AI knowledge, including model development, evaluation, and integration into business use cases.
- Master’s or PhD in Statistics, Data Science, AI, or a STEM discipline (mathematics, physics, engineering, chemistry) with 2+ years of applied experience.
- Demonstrated awareness of data‑quality dependencies and practical challenges in deploying data‑driven solutions.
- Strong communication skills with experience engaging stakeholders at all organisational levels.
- Evidence of strong interpersonal, facilitation, and presentation capabilities.
Desired Skills and Experience:
- Experience in analytics translation or consulting, turning business problems into structured analytical approaches.
- Familiarity with experimental design, forecasting, or financial modelling.
- Exposure to AI‑driven software development or digital product environments.
- Ability to identify new opportunities for data science and AI aligned with business strategy.
- Strong collaborative mindset, working effectively with global teams and diverse technical specialists.
Roles and Responsibilities:
- Apply advanced data science techniques and generative AI to support decision‑making across operational, R&D, financial, and digital product domains.
- Scope, design, and deliver data science and AI projects, including leading smaller initiatives independently.
- Provide technical guidance and advisory support to stakeholders across the organisation.
- Contribute to improving digital design, modelling, and analytical processes.
- Promote data science and AI adoption through internal networks and knowledge‑sharing.
- Support the development and enhancement of analytical and AI‑driven software tools.
- Collaborate with global colleagues and business partners to ensure solutions are practical, scalable, and aligned with strategic objectives.
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