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- Tasks: Develop AI models and manage their lifecycle using Python and SQL.
- Company: Join a dynamic team focused on digital capabilities and cloud migration in London.
- Benefits: Enjoy a hybrid work model with 3 days onsite and 2 days remote.
- Why this job: Be at the forefront of AI and machine learning, making a real impact in cloud solutions.
- Qualifications: Experience in Python, SQL, machine learning, and familiarity with Azure tools required.
- Other info: Contract position running until the end of the year, perfect for gaining hands-on experience.
The predicted salary is between 36000 - 60000 £ per year.
We’re hiring a Data Scientist on a contract basis to join our Digital Capabilities and Core Platform team in London. You’ll play a key role in driving the migration of Java applications to the Azure Cloud while delivering high-performance streaming solutions using machine learning and big data technologies. This is a hybrid contract position running until the end of the year, requiring 3 days per week onsite in London and 2 days remote.
Key Responsibilities:
- Build and implement AI models for classification, clustering, anomaly detection, and NLP.
- Manage end-to-end model lifecycle from data prep to deployment and monitoring.
- Write clean, production-level Python and SQL code.
- Collaborate with cross-functional teams to deliver models that support business outcomes.
- Use MLOps practices and Azure tools to develop scalable, cloud-based solutions.
What You’ll Bring:
- Solid experience in Python, SQL, and statistical data analysis.
- Proven track record in machine learning and NLP.
- Familiarity with Azure AI & ML, MLOps workflows, and model deployment.
- Strong communication and problem-solving skills.
- Knowledge of GitLab, JIRA, Agile practices, and UNIX environments.
Nice to Have:
- Background in cloud computing, big data tools, or containerization technologies.
If you’re looking to deliver production-ready AI solutions in a cloud-native environment, we’d love to hear from you. Apply now to join.
Data Scientist employer: Airswift
Contact Detail:
Airswift Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with Azure's AI and machine learning tools. Since this role heavily involves Azure, showcasing your knowledge of its services during discussions can set you apart from other candidates.
✨Tip Number 2
Brush up on your Python and SQL skills. Be prepared to discuss specific projects where you've used these languages, especially in relation to machine learning and data analysis.
✨Tip Number 3
Highlight your experience with MLOps practices. Understanding the model lifecycle and being able to articulate how you've managed deployments and monitoring will demonstrate your capability for this role.
✨Tip Number 4
Prepare examples of your collaboration with cross-functional teams. This role requires teamwork, so sharing experiences where you've successfully worked with others to achieve business outcomes will be beneficial.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and machine learning. Include specific projects or roles where you've implemented AI models or worked with Azure tools.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your skills align with the responsibilities listed. Mention your familiarity with MLOps practices and any relevant cloud computing experience.
Showcase Relevant Projects: If you have worked on projects involving classification, clustering, or NLP, be sure to include these in your application. Provide brief descriptions of the challenges faced and the outcomes achieved.
Highlight Soft Skills: Don't forget to mention your strong communication and problem-solving skills. These are crucial for collaborating with cross-functional teams and delivering effective solutions.
How to prepare for a job interview at Airswift
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning. Bring examples of projects where you've implemented AI models or worked with big data technologies, as this will demonstrate your hands-on expertise.
✨Understand Azure and MLOps
Familiarise yourself with Azure AI & ML tools and MLOps practices. Be ready to explain how you've used these in past projects, as this knowledge is crucial for the role and will show your readiness to hit the ground running.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially in relation to data analysis and model deployment. Practice articulating your thought process clearly, as strong communication is key in collaborative environments.
✨Demonstrate Collaboration Experience
Since the role involves working with cross-functional teams, be ready to share examples of how you've successfully collaborated in the past. Highlight your ability to communicate complex technical concepts to non-technical stakeholders.
