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- Tasks: Innovate and solve geological challenges using advanced data science techniques.
- Company: Join a leading global energy provider focused on innovation and growth.
- Benefits: Competitive salary, career development, and a supportive work environment.
- Why this job: Make a real impact in the energy sector with cutting-edge AI technology.
- Qualifications: Honours degree in data science/AI and 10 years of relevant experience.
- Other info: Collaborative team culture with opportunities for personal and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry.
About the Role
We are seeking a highly skilled and motivated Senior AI Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data.
Key Responsibilities
- Collaborate with geoscientists and engineers to understand requirements and design effective solutions
- Develop robust Python pipelines for data manipulation
- Implement secure coding practices and manage version control using Git
- Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure
- Optimize database performance and spatial queries using PostgreSQL/PostGIS
- Champion Python best practices across the team and support the development of junior team members
Required Qualifications
- Honors degree (2:1 or above) in data science/AI or related field.
- Minimum of 10 years related work experience.
Desirable Qualifications
- Postgraduate qualification in AI or related field
Essential Skills
- Proficiency in Python, with a strong adherence to Python best practices
- Experience using Git for version control and collaboration
- Knowledge of secure coding principles
- Expertise in geospatial libraries such as GeoPandas, Shapely, and GDAL
- Advanced knowledge of PostgreSQL/PostGIS for spatial data management
- Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML)
- Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy)
- Ability to design, train, and evaluate supervised and unsupervised learning algorithms
- Strong teamwork and interpersonal skills, with a collaborative and agile mindset
- Proven ability to work within agile development environments
- Self-motivated, detail-oriented, and capable of managing multiple tasks
Desirable Skills
- Knowledge of geological or subsurface data domains
- Experience with containerization tools such as Docker and Kubernetes
- Familiarity with CI/CD pipelines for automated deployment
- Understanding of data governance and compliance in scientific environments
- Experience with database virtualisation, including DecisionSpace integration server
- Experience with data analysis applications from the Neftex Predictions portfolio
Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Location: 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom
Compensation Information: Compensation is competitive and commensurate with experience.
Senior AI Data Scientist employer: Halliburton
Contact Detail:
Halliburton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral.
✨Tip Number 2
Show off your skills in real-time! Consider participating in hackathons or data science competitions. It’s a great way to demonstrate your expertise and meet potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Data Scientist
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and any relevant AI projects you've worked on. We want to see how you can innovate and lead in the field, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific skills from the job description, like your experience with AWS or PostgreSQL, to show us you're the perfect fit.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Halliburton
✨Know Your Stuff
Make sure you brush up on your Python skills and geospatial libraries like GeoPandas and Shapely. Be ready to discuss how you've used these tools in past projects, especially in relation to AI and data science.
✨Showcase Your Collaboration Skills
Since the role involves working closely with geoscientists and engineers, prepare examples of how you've successfully collaborated in the past. Highlight your teamwork and agile mindset to show you're a great fit for their culture.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in previous roles and how you tackled them using advanced data science techniques. This will help illustrate your ability to innovate and lead in complex situations.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI and data management. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
