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- Tasks: Lead the development of AI solutions and mentor junior team members.
- Company: Join Randstad Technologies, a leader in innovation and AI excellence.
- Benefits: Enjoy remote work flexibility and a collaborative culture.
- Why this job: Be at the forefront of AI transformation and make a real-world impact.
- Qualifications: Advanced degree in Data Science and 7+ years in Generative AI required.
- Other info: This is a contract role with a focus on cutting-edge technology.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a Senior or Lead Data Scientist with deep expertise in Generative AI, NLP, Deep Learning, and Machine Learning to join an innovation-focused AI Centre of Excellence. In this role, you will help design, develop, and implement cutting-edge AI solutions that drive transformation across the organization.
Key Responsibilities:
- Lead the development and deployment of AI/ML models with a focus on LLMs, NLP, and deep learning.
- Collaborate with cross-functional teams to integrate AI capabilities into products and workflows.
- Conduct research, model fine-tuning, and validation using frameworks like PyTorch or TensorFlow.
- Support AI governance and ensure responsible, scalable implementation.
- Mentor junior team members and promote a culture of innovation and knowledge sharing.
Ideal Candidate Will Have:
- Advanced degree (PhD/Master's) in Computer Science, Data Science, or a related field.
- 7+ years of experience in data science with a focus on Generative AI and NLP.
- Strong Python programming skills and proficiency with ML frameworks (PyTorch, TensorFlow).
- Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, Azure).
- Strong problem-solving ability and excellent communication skills.
Preferred Qualifications:
- Experience in regulated industries (e.g., finance, credit).
- Understanding of AI governance and ethical AI principles.
- Passion for applying AI to solve real-world business problems.
Ready to shape the future of AI in the enterprise? Apply now to join a forward-thinking team at the forefront of innovation.
Contact Detail:
Randstad Technologies Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience with Generative AI and NLP in your conversations. Prepare specific examples of projects you've worked on that highlight your expertise in these areas, as this will demonstrate your capability to lead in this role.
✨Tip Number 2
Familiarise yourself with the latest trends and advancements in AI governance and ethical AI principles. Being able to discuss these topics intelligently during interviews will show that you are not only technically skilled but also aware of the broader implications of AI in business.
✨Tip Number 3
Network with professionals in the AI field, especially those who have experience in regulated industries. Engaging in discussions or attending webinars can provide insights and connections that may help you stand out as a candidate.
✨Tip Number 4
Prepare to discuss your mentoring experiences and how you've contributed to team culture in previous roles. Highlighting your ability to lead and inspire junior team members will align well with the responsibilities of this position.
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 in Generative AI, NLP, and deep learning. Use specific examples of projects you've worked on that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's goals. Mention your experience with frameworks like PyTorch or TensorFlow and your ability to mentor others.
Showcase Relevant Projects: Include a portfolio or links to relevant projects that showcase your skills in AI/ML model development and deployment. Highlight any work involving containerization tools or cloud platforms.
Prepare for Technical Questions: Anticipate technical questions related to AI governance, ethical AI principles, and your problem-solving approach. Be ready to discuss how you would integrate AI capabilities into products and workflows.
How to prepare for a job interview at Randstad Technologies Recruitment
✨Showcase Your Expertise in Generative AI
Be prepared to discuss your experience with Generative AI, NLP, and deep learning in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to lead in this area.
✨Demonstrate Your Problem-Solving Skills
Expect to face technical questions that assess your problem-solving abilities. Prepare examples of complex problems you've tackled in the past, particularly those involving AI/ML models, and explain your thought process clearly.
✨Familiarise Yourself with Relevant Frameworks
Since the role requires knowledge of frameworks like PyTorch and TensorFlow, brush up on your skills with these tools. Be ready to discuss how you've used them in previous roles, including any challenges you faced and how you overcame them.
✨Emphasise Collaboration and Mentorship
This position involves working with cross-functional teams and mentoring junior members. Share experiences that highlight your ability to collaborate effectively and foster a culture of innovation, as this aligns with the company's values.
