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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: Experience in Machine Learning, strong communication, and consulting skills required.
- Other info: Work independently and collaboratively in a fast-paced environment.
The predicted salary is between 72000 - 108000 £ per year.
Overview
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.
Principal Data Science Consultant in London employer: Harvey Nash Group
Contact Detail:
Harvey Nash Group 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, Google Cloud, and any relevant consulting work. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've developed or deployed Machine Learning models. We love seeing real-world applications of your skills, so don’t hold back on the details that show off your expertise!
Communicate Clearly: Since excellent communication is key in this role, ensure your application is clear and concise. Use straightforward language to describe your experience and how it relates to the job. We appreciate clarity just as much as you do!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Harvey Nash Group
✨Know Your Machine Learning Stuff
Make sure you brush up on your knowledge of machine learning algorithms, especially both supervised and unsupervised learning. Be ready to discuss how you've applied these in real-world scenarios, as this will show your practical understanding and expertise.
✨Showcase 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 or stakeholders, as this will highlight your consulting experience.
✨Understand the Business Context
Before the interview, research the company and its clients. Understand their business challenges and think about how your skills can help solve them. This will demonstrate your proactive nature and business focus during the conversation.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about deploying machine learning models on Google Cloud and using MLOps. Brush up on relevant tools and frameworks, and be prepared to discuss your hands-on experience with Python and AI agents.
