Software Engineer

Software Engineer

Full-Time 48000 - 64000 £ / year (est.) No home office possible
NearTech Search

At a Glance

  • Tasks: Develop scalable Python modules and implement advanced algorithms for analytics.
  • Company: Join a leading international advanced analytics data company.
  • Benefits: Flexible remote work, competitive salary, and ongoing learning opportunities.
  • Why this job: Shape a global analytics product and tackle meaningful challenges.
  • Qualifications: 5+ years of Python experience and strong mathematical background.
  • Other info: Collaborative environment with access to modern tools and expert teams.

The predicted salary is between 48000 - 64000 £ per year.

A Senior Python Software Engineer is needed to join an international advanced analytics data company. Our client is a specialist technology business delivering sophisticated modelling and optimisation tools that help organisations make smarter commercial decisions. You’ll join a collaborative, international team where engineering excellence and mathematical rigour sit at the heart of everything they do. The environment is intellectually stimulating, with real ownership, modern tooling (such as Pandas, SciPy, NumPy), and the chance to work on complex, meaningful challenges at scale.

The Senior Python Software Engineer will design and build high-performance analytics modules that power advanced modelling and optimisation capabilities.

Role Highlights
  • Develop scalable Python modules for analytics and optimisation
  • Implement advanced algorithms for forecasting and modelling
  • Process large datasets to deliver high-performance solutions
  • Own key components of the platform and drive improvements
  • Collaborate with global teams across engineering and analytics
You Will Need
  • 5+ years’ Python development experience
  • Strong mathematical or statistical modelling background
  • Experience building production-grade analytical software
  • Knowledge of tools such as Pandas, SciPy, NumPy, SQL and cloud platforms with tools such as Kubernetes and Docker.
Why You’ll Love It
  • Flexible hybrid or fully remote working options
  • Opportunity to shape a global analytics product
  • Work alongside highly skilled international experts
  • Ongoing learning, conferences, and development support

Software Engineer employer: NearTech Search

Join a forward-thinking international advanced analytics data company that prioritises engineering excellence and fosters a collaborative work culture. With flexible remote working options, you'll have the opportunity to shape innovative analytics products while working alongside highly skilled experts in a stimulating environment that encourages ongoing learning and professional development.
NearTech Search

Contact Detail:

NearTech Search Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Software Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python or analytics. 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 GitHub profile showcasing your projects and contributions. This is a great way for potential employers to see your coding style and problem-solving abilities in action.

✨Tip Number 3

Prepare for technical interviews by practicing coding challenges on platforms like LeetCode or HackerRank. We all know that nailing the technical part is crucial, so get comfortable with algorithms and data structures.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged with our company.

We think you need these skills to ace Software Engineer

Python Development
Mathematical Modelling
Statistical Modelling
Analytical Software Development
Pandas
SciPy
NumPy
SQL
Kubernetes
Docker
Data Processing
Algorithm Implementation
Collaboration Skills
Problem-Solving Skills
Scalability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your Python experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for analytics and optimisation, and mention any specific tools or technologies you’ve used that relate to our needs.

Showcase Your Problem-Solving Skills: In your application, give examples of complex challenges you've tackled in the past. We love seeing how you approach problems and the innovative solutions you've implemented using Python and other tools.

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 the role. Plus, it’s super easy!

How to prepare for a job interview at NearTech Search

✨Know Your Python Inside Out

Make sure you brush up on your Python skills, especially with libraries like Pandas, SciPy, and NumPy. Be ready to discuss your past projects and how you've used these tools to solve complex problems.

✨Show Off Your Mathematical Skills

Since the role requires a strong mathematical background, prepare to talk about any statistical modelling or algorithms you've implemented. Think of specific examples where your mathematical knowledge made a difference in your projects.

✨Demonstrate Your Problem-Solving Abilities

Be prepared to tackle some technical challenges during the interview. Practice coding problems that involve data processing and optimisation, as this will showcase your ability to think critically and develop high-performance solutions.

✨Highlight Collaboration Experience

This role involves working with global teams, so share examples of how you've successfully collaborated with others in previous roles. Discuss any remote work experiences and how you maintained effective communication and teamwork.

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