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- Tasks: Analyse time series data and develop interactive dashboards using Python.
- Company: Dynamic tech firm in Leeds with a hybrid work model.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Why this job: Join a team where your data skills can shine and make a real difference.
- Qualifications: 9+ years of experience in Python and time series analysis required.
- Other info: Collaborative environment with a focus on innovation and best practices.
The predicted salary is between 36000 - 60000 £ per year.
Python Data Developer with timeseries
Location: Leeds, UK - Hybrid – 3 days at client office and 2 days remote
Duration: Minimum 1 yr.
Required Skills:
- 9 + years’ experience must
- Relevant experience on timeseries/data package
Experience:
- Hands on programming experience with:
- Proficient Python Programming
- Key skills: Functions, classes, and object-oriented programming, List comprehensions, generators, Error handling
- Working with virtual environments and package management (pip, venv)
- Key libraries: pandas, numpy, (optional: polars)
- Key skills: Data cleaning and preprocessing, Handling missing values, grouping, merging, pivoting, aggregations, and SQL
- Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters
- Key skills: Customizing with Plotly Graph Objects for advanced interactivity.
- Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables).
- REST APIs: Fetching or sending data to backend services
Data Scientist with Time Series in Leeds employer: ST Global Tech LLC
Contact Detail:
ST Global Tech LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist with Time Series in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with time series. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving Pandas and NumPy. This is your chance to demonstrate your hands-on experience and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of software engineering best practices. Be ready to discuss version control with Git and how you write modular, reusable code. We want to see that you can not only code but also do it well!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist with Time Series in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and time series data. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background makes you a perfect fit for us. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool projects involving Pandas, NumPy, or Plotly Dash, make sure to mention them! We love seeing practical applications of your skills, so include links if possible.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at ST Global Tech LLC
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially around functions, classes, and object-oriented programming. Be ready to discuss your hands-on experience with these concepts and how you've applied them in real projects.
✨Show Off Your Data Manipulation Skills
Prepare to talk about your experience with data manipulation using Pandas and NumPy. Have examples ready that showcase your ability to clean, preprocess, and analyse data, as well as how you've handled missing values and performed aggregations.
✨Demonstrate Software Engineering Best Practices
Familiarise yourself with version control using Git and be prepared to discuss how you write modular, reusable code. Highlight any experience you have with unit testing and code documentation, as these are crucial for a Data Scientist role.
✨Get Comfortable with Plotly Dash
Since this role involves creating dashboards, make sure you can talk about your experience with Plotly Dash. Be ready to explain how you've customised dashboards, integrated HTML & CSS, and worked with REST APIs to fetch or send data.