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- 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.
- Why this job: Join a dynamic team and tackle real-world business challenges with cutting-edge technology.
- Qualifications: Strong understanding of Machine Learning algorithms and excellent communication skills.
- Other info: Work independently and collaboratively in a fast-paced environment.
The predicted salary is between 54000 - 84000 £ 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.
If this role aligns with your career aspirations and you’d like to know more please share your CV and availability for a call to daniel.neaves@harveynash.com.
Principal Data Science Consultant in London employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Science Consultant in London
✨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 a role that fits your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Machine Learning projects, especially those using Google Cloud. This will give potential employers a taste of what you can do 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, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Principal Data Science Consultant in London
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 developed or deployed Machine Learning models. This helps us understand your hands-on experience and how you tackle real-world challenges.
Communicate Clearly: Since excellent communication is key for this role, ensure your application is clear and concise. We appreciate straightforward language that gets to the point, so avoid jargon unless it’s necessary to showcase your expertise.
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 applied these in real-world scenarios, especially in deploying models on Google Cloud.
✨Show Off Your Communication Skills
Since this role involves a lot of client interaction, practice articulating complex technical concepts in simple terms. Think about examples where you've successfully communicated with clients to solve their business challenges.
✨Stay Current with Trends
Demonstrate your proactive nature by being aware of the latest trends in the data landscape. Bring up recent developments or tools in AI and MLOps that excite you, and explain how they could benefit potential clients.
✨Team Player with Independence
Prepare to discuss your experience working both independently and as part of a team. Share specific examples of projects where you collaborated with others and also instances where you took the lead on your own.
