Python Developer: Power Systems Optimisation & Analytics in England

Python Developer: Power Systems Optimisation & Analytics in England

England Temporary 50000 - 60000 £ / year (est.) No working from home possible
Hamilton Barnes

At a Glance

  • Tasks: Develop scalable algorithms and build RESTful APIs for power systems optimisation.
  • Company: Hamilton Barnes, a leader in tech solutions with a focus on innovation.
  • Benefits: Competitive pay, flexible working hours, and opportunities for skill enhancement.
  • Other info: 6-month role with potential for growth in a fast-paced environment.
  • Why this job: Join a dynamic team and make a real difference in energy optimisation.
  • Qualifications: Strong Python skills and experience in algorithm development and data analysis.

The predicted salary is between 50000 - 60000 £ per year.

Hamilton Barnes is seeking a Python Developer for a 6-month role based in Wokingham. The ideal candidate will have significant expertise in algorithm development, optimization modelling, and power system techno-economic assessments.

Responsibilities include:

  • Developing scalable algorithms
  • Maintaining software
  • Building RESTful APIs using frameworks like Flask and Django

The position demands strong proficiency in Python and experience with data analysis, database systems, as well as optimization tools like Gurobi and CPLEX.

Python Developer: Power Systems Optimisation & Analytics in England employer: Hamilton Barnes

Hamilton Barnes is an excellent employer that fosters a collaborative and innovative work culture, ideal for Python Developers looking to make a significant impact in the power systems sector. With a focus on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge projects in a vibrant location like Wokingham, where you can enjoy a balanced lifestyle while contributing to meaningful advancements in technology.

Hamilton Barnes

Contact Details:

Hamilton Barnes Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Python Developer: Power Systems Optimisation & Analytics in England

Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Hamilton Barnes before they're even advertised!

Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

Check Out Specialist Job Boards

For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Hamilton Barnes.

Leverage University Resources

If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Hamilton Barnes.

We think you need these skills to ace Python Developer: Power Systems Optimisation & Analytics in England

Python
Algorithm Development
Optimization Modelling
Power System Techno-Economic Assessments
Scalable Algorithms Development
Software Maintenance
RESTful APIs

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Hamilton Barnes, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Hamilton Barnes, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Hamilton Barnes’s attention and show the tangible impact of your work.

How to prepare for a job interview at Hamilton Barnes

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Hamilton Barnes.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Hamilton Barnes.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Hamilton Barnes.