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- Tasks: Collaborate with experts to design AI solutions and develop robust Python data pipelines.
- Company: Leading tech firm focused on innovative AI applications in geoscience.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the AI field.
- Qualifications: Honours degree in data science/AI and 10 years of relevant experience required.
- Other info: Exciting projects with advanced technologies and a supportive team environment.
The predicted salary is between 72000 - 108000 £ per year.
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.
Requirements
- 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.
- 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.
- Knowledge of geological or subsurface data domains.
- Experience with containerization tools such as Docker and Kubernetes.
Senior AI Data Scientist in Abingdon employer: Visuna
Contact Detail:
Visuna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Data Scientist in Abingdon
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior AI Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving data manipulation and geospatial libraries. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AWS and Azure. Be ready to discuss how you've scaled data workflows and managed infrastructure in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior AI Data Scientist in Abingdon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science and AI, especially with Python and cloud platforms like AWS and Azure. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Remember to mention your experience with geospatial libraries and secure coding practices.
Showcase Your Projects: If you've worked on any cool projects involving AI models or data manipulation, make sure to include them in your application. We love seeing practical examples of your work, especially if they involve collaboration with others or innovative solutions.
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 the StudySmarter family!
How to prepare for a job interview at Visuna
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, PostgreSQL/PostGIS, and cloud platforms like AWS and Azure. Brush up on your knowledge of geospatial libraries and secure coding practices, as these will likely come up during technical discussions.
✨Showcase Your Experience
Prepare to discuss specific projects where you've implemented AI models or developed data pipelines. Highlight your experience with version control using Git and how you've collaborated with teams in agile environments. Real-world examples will help demonstrate your expertise and problem-solving skills.
✨Emphasise Team Collaboration
Since the role involves working closely with geoscientists and engineers, be ready to talk about your teamwork experiences. Share instances where you’ve supported junior team members or championed best practices within a team setting. This shows you value collaboration and mentorship.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects, team dynamics, and future goals. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career aspirations. It’s a two-way street, after all!
