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- Tasks: Build and validate machine learning models while developing datasets.
- Company: Leading data analytics provider in Thame, Oxfordshire.
- Benefits: Hybrid working model with a 12-month fixed-term contract.
- Why this job: Embrace new challenges and make an impact in data science.
- Qualifications: Strong experience in Python, statistics, and SQL required.
- Other info: Perfect for Junior+ or early Mid-level professionals.
The predicted salary is between 30000 - 42000 £ per year.
A leading data analytics provider is looking for a Data Scientist in Thame, Oxfordshire. The successful candidate will be responsible for building and validating machine learning models, developing datasets, and collaborating with developers to ensure effective reporting.
Ideal for a Junior+ or early Mid-level professional ready to embrace new challenges. Strong experience in Python, statistics, and SQL is required. This 12-month fixed-term contract also offers a hybrid working model.
Data Scientist (Hybrid) – ML Models & Lakehouse Build in Thame employer: Field Sales Solutions
Contact Detail:
Field Sales Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Hybrid) – ML Models & Lakehouse Build in Thame
✨Tip Number 1
Network like a pro! Reach out to current employees at the company or in similar roles on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and data projects. This is a great way to demonstrate your expertise in Python, statistics, and SQL to potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and case studies. We can even do mock interviews together to help you feel more confident when it’s time to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist (Hybrid) – ML Models & Lakehouse Build in Thame
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, statistics, and SQL. We want to see how your skills align with the role of a Data Scientist, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the opportunity at StudySmarter and how your background makes you a great fit for building ML models and collaborating with our team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data science. We love seeing candidates who can think critically and creatively, especially when it comes to developing datasets and validating models.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in Thame. Don’t miss out!
How to prepare for a job interview at Field Sales Solutions
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like Pandas and NumPy, and maybe even solve a coding challenge on the spot. Practising common data manipulation tasks can really help you shine.
✨Statistics Are Your Best Friend
Since you'll be working with machine learning models, it's crucial to have a solid grasp of statistics. Prepare to explain concepts like hypothesis testing, regression analysis, and overfitting. Being able to articulate how these concepts apply to real-world scenarios will impress your interviewers.
✨SQL Skills Matter
As a Data Scientist, you'll need to extract and manipulate data efficiently. Brush up on your SQL queries, especially JOINs and aggregations. You might be asked to write a query during the interview, so practice some common scenarios that could come up in your role.
✨Collaboration is Key
This role involves working closely with developers, so be prepared to discuss your experience in collaborative projects. Share examples of how you've communicated complex data findings to non-technical team members. Highlighting your teamwork skills will show that you're ready to fit into their culture.
