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- Tasks: Collaborate with senior engineers to develop predictive models and enhance algorithms.
- Company: Dynamic tech solutions provider in Greater London.
- Benefits: Competitive salary and a range of exciting benefits.
- Why this job: Join a cutting-edge team and make an impact in data science.
- Qualifications: Degree in Data Science, Python skills, and stakeholder management experience.
- Other info: Great opportunity for career growth in a supportive environment.
The predicted salary is between 28800 - 48000 £ per year.
A technology solutions provider in Greater London is seeking a junior or medior data science engineer to enhance its data science team. In this role, you will collaborate with senior engineers to develop predictive models and improve algorithms for anomaly detection.
Candidates should have:
- A degree in Data Science or a related field
- Hands-on experience with Python and machine learning
- The ability to manage stakeholders effectively
Competitive salary and a range of benefits are included.
Data Scientist — Ai in England employer: Sneak Peek Tech
Contact Detail:
Sneak Peek Tech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Ai in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. Building connections can lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining your projects and how you’ve managed stakeholders in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Data Scientist — Ai in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with Python and machine learning in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to predictive models and anomaly detection, as this will show us you’re the right fit.
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 enthusiasm for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at Sneak Peek Tech
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially around predictive models and anomaly detection. Be ready to discuss your hands-on experience with Python and machine learning, as these will be key topics during the interview.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that relate to the job. Highlight any predictive models you've developed or algorithms you've improved. This not only shows your technical skills but also your ability to apply them in real-world scenarios.
✨Stakeholder Management is Key
Since managing stakeholders is part of the role, think of examples where you've successfully communicated complex data insights to non-technical audiences. This will demonstrate your ability to bridge the gap between data science and business needs.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data science initiatives and team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.
