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- Tasks: Develop and deploy machine-learning models across the data science lifecycle.
- Company: myGwork - a vibrant LGBTQ+ Business Community in Reading, UK.
- Benefits: Flexible hybrid working, 25 days leave, healthcare options, and competitive salary with a bonus.
- Other info: Be part of an inclusive community and grow your career in data science.
- Why this job: Join us to make a real difference in the data landscape!
- Qualifications: Strong Python skills, data analysis experience, and exposure to cloud technologies.
The predicted salary is between 50000 - 60000 £ per year.
myGwork - LGBTQ+ Business Community is seeking a Data Scientist in Reading, UK. In this role, you will develop and deploy machine-learning models, working throughout the data science lifecycle from problem definition to monitoring.
Essential qualifications include:
- Strong Python skills
- Experience with data analysis
- Exposure to cloud technologies like AWS and Azure
The position offers flexible hybrid working, 25 days leave, healthcare options, and a competitive salary with a bonus. Join us to make a difference in the data landscape!
Senior Data Scientist, Digital Twins & Production ML Hybrid in Reading employer: myGwork - LGBTQ+ Business Community
Contact Detail:
myGwork - LGBTQ+ Business Community Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Digital Twins & Production ML Hybrid in Reading
✨Tip Number 1
Network like a pro! Reach out to current employees or connections in the industry. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine-learning models and data analysis projects. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and cloud technologies. Use mock interviews to build confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist, Digital Twins & Production ML Hybrid in Reading
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong Python skills in your application. We want to see how you've used Python in real-world projects, especially in developing and deploying machine-learning models.
Talk About Your Data Analysis Experience: Don’t hold back on sharing your experience with data analysis. We’re keen to know how you’ve tackled data challenges and what tools you’ve used to derive insights from data.
Mention Cloud Technologies: If you’ve worked with cloud technologies like AWS or Azure, make it known! We value experience in these areas as they are crucial for the role, so give us the details on your cloud journey.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at myGwork - LGBTQ+ Business Community
✨Know Your Tech Stack
Make sure you brush up on your Python skills and any relevant libraries like Pandas or Scikit-learn. Be ready to discuss your experience with cloud technologies like AWS and Azure, as these are crucial for the role.
✨Showcase Your Projects
Prepare to talk about specific machine-learning models you've developed or deployed. Highlight the entire data science lifecycle you’ve worked through, from problem definition to monitoring, and be ready to share the impact of your work.
✨Understand the Company’s Mission
Research myGwork and their focus on the LGBTQ+ business community. Understanding their mission will help you align your answers with their values and show that you’re genuinely interested in making a difference.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and how they measure success in this role. This shows your enthusiasm and helps you gauge if the company culture is the right fit for you.