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For Companies At a Glance
- Tasks: Develop optimisation and machine learning models for decision-support software.
- Company: Join a leading tech firm at Heathrow with a hybrid work model.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact by solving real-world problems with cutting-edge technology.
- Qualifications: Strong experience in optimisation and machine learning required.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Overview
Data Scientist - Optimisation • 6 Months • Hybrid - 3 days per week on site at Heathrow • £Market rate (Inside IR35)
Role purpose
This role is responsible for developing industrialised optimisation and machine learning models as part of a full-stack product squad delivering operations decision-support software. Note: The ideal candidate MUST HAVE strong experience with Optimisation.
Scope
As a key member of a product squad, reporting to the Lead Product Data Scientist, the Data Scientist will:
- Develop data pipelines, machine learning models, and optimisation models
- Own modelling and robust feature implementation
- Ensure seamless integration into the technical stack and business processes
Accountabilities
The Data Scientist is accountable for the full value chain of building industrialised data-science software products, including:
- Business problem understanding
- Analysis and visualisation
- Prototyping ML and optimisation models in Python
- Production-grade software development
- Data pipelines and orchestration
- CI/CD, testing, logging, and robustness
- Stakeholder engagement and roadmap contribution
- Agile ways of working
Core traits
- Systems thinking
- Detail-oriented with big-picture awareness
- Curious, proactive, resilient
- Data-driven and pragmatic
- Collaborative technologist
Skills and capabilities
- Machine learning, optimisation, and operations research
- Fluent Python; strong DS/ML libraries
- Cloud platforms (AWS preferred)
- CI/CD, orchestration, containerisation
- Strong SQL and data engineering skills
- Excellent communication and analytical ability
Qualifications and experience
- Strong experience with production ML/optimisation experience
- Experience with industrialised software products preferred
Data Scientist – Optimisation in Hounslow employer: Advanced Resource Managers
Contact Detail:
Advanced Resource Managers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Optimisation in Hounslow
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your optimisation and machine learning projects. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the business problems you’ll be solving. Practice explaining your thought process clearly and confidently – it’s all about showing how you think!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist – Optimisation in Hounslow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with optimisation and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this Data Scientist role. Share your passion for data science and optimisation, and give us a glimpse of your personality. Keep it engaging!
Showcase Your Technical Skills: Since this role involves Python and cloud platforms like AWS, make sure to mention your proficiency in these areas. We love seeing specific examples of how you've used these skills in past projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Advanced Resource Managers
✨Know Your Optimisation Inside Out
Make sure you brush up on your optimisation techniques and machine learning models. Be ready to discuss specific projects where you've implemented these skills, as the interviewers will want to see your practical experience.
✨Showcase Your Python Proficiency
Since fluency in Python is a must-have, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of data science libraries.
✨Understand the Business Context
Familiarise yourself with the business problems that the company is trying to solve. Being able to articulate how your skills can contribute to their goals will set you apart from other candidates.
✨Engage with Stakeholders
Prepare to discuss how you’ve collaborated with different teams in the past. Highlight your communication skills and how you’ve engaged stakeholders to ensure successful project outcomes, as this role requires a lot of teamwork.
