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- Tasks: Lead data transformation initiatives and develop predictive models in a cloud-first environment.
- Company: Dynamic tech company based in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Work with cutting-edge technologies and make a significant impact on customer insights.
- Qualifications: Strong background in machine learning, predictive modelling, and proficiency in Python or R.
- Other info: Join a collaborative team in a fast-paced environment with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
A dynamic tech company in Greater London seeks a Senior Data Scientist to lead data transformation initiatives in a cloud-first environment. The ideal candidate will have a strong background in machine learning and predictive modelling, alongside expertise in Python or R.
Responsibilities include:
- Developing and optimizing reporting pipelines
- Creating predictive models
- Conducting pricing analytics
They will work with cutting-edge technologies like Azure, Fabric, and Synapse, and contribute to improving customer insights and data integration.
Senior Data Scientist - Cloud Analytics & AI Focus in London employer: Ignite Digital
Contact Detail:
Ignite Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Cloud Analytics & AI Focus in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and predictive models. We want to see your work in action, especially if it involves Python or R. It’s a great way to stand out!
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of cloud technologies like Azure and Synapse. We recommend practising common data science interview questions and even doing mock interviews with friends.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows us you’re genuinely interested in joining our team and contributing to exciting data transformation initiatives.
We think you need these skills to ace Senior Data Scientist - Cloud Analytics & AI Focus in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and predictive modelling in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise in Python or R!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your familiarity with cloud technologies like Azure, Fabric, and Synapse, as it’ll show us you’re ready to hit the ground running in our cloud-first environment.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and how you can contribute to our data transformation initiatives.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Ignite Digital
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Azure, Fabric, and Synapse. Brush up on your Python or R skills, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Projects
Prepare to talk about specific data transformation initiatives you've led. Highlight your experience with machine learning and predictive modelling, and be ready to explain the impact of your work on customer insights and data integration.
✨Understand the Business Context
Research the company and its industry to understand their challenges and goals. This will help you tailor your answers to show how your skills can directly benefit their cloud-first environment and improve their analytics capabilities.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company. Inquire about their current data challenges, the team structure, or how they measure success in data projects. This shows you're not just interested in the job, but also in contributing to their mission.
