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- Tasks: Lead exciting data science projects and provide top-class advice to clients.
- Company: Join a growing consultancy specialising in Data and Cyber Security.
- Benefits: Enjoy hybrid work options and the chance to work on innovative projects.
- Why this job: Make a real impact by driving performance through data science solutions.
- Qualifications: Must have strong Python skills and experience with cloud infrastructure.
- Other info: Eligibility for SC clearance is essential for this role.
The predicted salary is between 43200 - 72000 £ per year.
I am looking for a Senior Data Scientist to join a growing consultancy who specialise in Data and Cyber Security. Over the past three years, they have steadily grown their teams in line with an expanding client base and pipeline of projects.
You will be client facing and take the lead on a number of exciting data science focused projects. You will work to understand the current data infrastructure of the specific clients before offering top-class advice on how data science can be used to drive performance. You will also be responsible for building proof of concepts designs based on your advice and presenting them to clients to enable them to understand your vision for improvements.
As part of this role, you will be responsible for:
- Leading on client projects and being the SME for Data Science/ML/AI
- Working with differing data sets and modelling them ready for use in data science practices
- Analysing and interpreting data to help deliver insights
- Developing models and algorithms that can be integrated into client infrastructure
To be successful in this role you will have:
- Taken the lead on data science projects
- Experience working as a consultant on projects with external clients
- Strong Python coding experience
- Experience working on cloud-based infrastructure (Azure, AWS or GCP)
- Experience with CI/CD tooling to build and deploy code
Due to the nature of this role, eligibility for SC clearance is essential.
Senior Data Science Consultant employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Science Consultant
✨Tip Number 1
Familiarise yourself with the specific data science tools and technologies mentioned in the job description, such as Python, cloud platforms like Azure, AWS, or GCP, and CI/CD tooling. Being able to discuss your hands-on experience with these technologies during interviews will demonstrate your suitability for the role.
✨Tip Number 2
Prepare to showcase your previous consulting experiences by thinking of specific projects where you led data science initiatives. Be ready to explain how you approached client challenges, the solutions you provided, and the impact of your work on their performance.
✨Tip Number 3
Since this role involves client-facing responsibilities, practice articulating complex data science concepts in a clear and engaging manner. You might want to prepare a few examples of how you've successfully communicated technical information to non-technical stakeholders in the past.
✨Tip Number 4
Research the consultancy's current projects and clients to understand their business model and industry focus. This knowledge will not only help you tailor your discussions but also show your genuine interest in the company when you apply through our website.
We think you need these skills to ace Senior Data Science Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly any projects where you've taken the lead. Emphasise your skills in Python, cloud-based infrastructure, and CI/CD tooling, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in this consultancy and how your background aligns with their needs. Mention specific projects or experiences that demonstrate your ability to analyse data and provide insights.
Showcase Relevant Projects: If you have examples of previous work, such as proof of concepts or models you've developed, consider including a portfolio link or summarising these projects in your application. This will help illustrate your expertise and vision.
Highlight Client-Facing Experience: Since this role involves working directly with clients, make sure to mention any relevant experience you have in consulting or client interactions. Describe how you've successfully communicated complex data science concepts to non-technical stakeholders.
How to prepare for a job interview at Click To Hired
✨Showcase Your Project Leadership
Be prepared to discuss specific projects where you took the lead. Highlight your role in managing client relationships and how you drove project success, as this is crucial for a Senior Data Science Consultant.
✨Demonstrate Technical Proficiency
Make sure to brush up on your Python skills and be ready to discuss your experience with cloud platforms like Azure, AWS, or GCP. You might be asked to solve a coding problem or explain your approach to data modelling.
✨Understand the Consultancy Landscape
Research the consultancy's recent projects and clients. Being knowledgeable about their work will help you tailor your responses and show that you're genuinely interested in contributing to their success.
✨Prepare for Client-Facing Scenarios
Since the role involves direct client interaction, think of examples where you've effectively communicated complex data science concepts to non-technical stakeholders. This will demonstrate your ability to bridge the gap between technical and business needs.
