At a Glance
- Tasks: Develop and deploy Machine Learning models on Google Cloud for top brands.
- Company: Global Specialist Cloud Consultancy with a focus on Data Science.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting opportunity to work independently and collaboratively in a fast-paced environment.
- Why this job: Join a dynamic team and tackle real-world business challenges with AI.
- Qualifications: Experience in Machine Learning, Python, and strong communication skills.
The predicted salary is between 48000 - 72000 £ per year.
Partnered with a Global Specialist Cloud Consultancy working with various household brands who are on the ramp up to upscale their Data Science capabilities and looking to build out top tier resources in this area of speciality in a Senior and Principal capacity.
Role Requirements:
- Develop and deploy Machine Learning models on Google Cloud.
- Collaborate with various clients to understand their business challenges and design technical solutions utilising Machine Learning models.
- Strong understanding of Machine Learning algorithms for supervised and unsupervised learning.
- Collaborate across the various client base utilising and developing AI agents, Cloud ML tools, MLOps and Python.
Skills/Experience:
- Excellent communication and strong level of consulting/client facing experience.
- Comprehensive understanding of Data landscape and proactive nature in staying up to date with latest market trends.
- Business focus and outcome oriented.
- Capable of working independently and as part of a team setting.
Principal Data Science Consultant employer: Harvey Nash
As a Principal Data Science Consultant with our Global Specialist Cloud Consultancy, you will thrive in a dynamic work culture that prioritises innovation and collaboration. We offer exceptional employee growth opportunities, including access to cutting-edge technologies and the chance to work with renowned household brands, all while enjoying a supportive environment that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Science Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to someone looking for a Principal Data Science Consultant.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your Machine Learning projects, especially those using Google Cloud. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your consulting skills. Practice explaining complex data science concepts in simple terms, as you'll need to communicate effectively with clients who may not be as tech-savvy.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles that could be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Principal Data Science Consultant
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Principal Data Science Consultant role. Highlight your experience with Machine Learning models, especially on Google Cloud, and any relevant consulting experience. We want to see how you can bring value to our clients!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of projects where you've deployed Machine Learning models or collaborated with clients. This helps us understand your hands-on experience and how you tackle business challenges.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so avoid jargon unless it's necessary. Make it easy for us to see why you're a great fit for the role!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harvey Nash
✨Know Your Machine Learning Stuff
Make sure you brush up on your knowledge of Machine Learning algorithms, both supervised and unsupervised. Be ready to discuss how you've developed and deployed models in the past, especially on Google Cloud. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Off Your Communication Skills
Since this role involves collaborating with clients, it’s crucial to demonstrate your excellent communication skills. Prepare examples of how you've effectively communicated complex technical solutions to non-technical stakeholders. This will highlight your consulting experience and ability to bridge the gap between tech and business.
✨Stay Current with Trends
The data landscape is always evolving, so make sure you’re up to date with the latest market trends and technologies. Bring up recent developments in AI and Cloud ML tools during your interview to show that you’re proactive and engaged in the field.
✨Be Ready for Team Dynamics
This role requires both independent work and teamwork. Think of examples where you’ve successfully collaborated with others or led a project. Highlighting your ability to work well in a team setting will reassure them that you can fit into their collaborative culture.
