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- 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 36000 - 60000 ÂŁ per year.
This role is responsible for developing industrialised optimisation and machine learning models as part of a fullâstack product squad delivering operations decisionâsupport software.
Please note - The ideal candidate MUST HAVE strong experience with Optimisation
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
The Data Scientist is accountable for the full value chain of building industrialised dataâscience software products, including:
- Business problem understanding
- Analysis and visualisation
- Prototyping ML and optimisation models in Python
- Productionâgrade 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
- Detailâoriented with bigâpicture awareness
- Curious, proactive, resilient
- Dataâdriven 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 London employer: Advanced Resource Managers Ltd
Contact Detail:
Advanced Resource Managers Ltd Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Data Scientist - Optimisation in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
â¨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 creativity, so make it shine!
â¨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Scientist - Optimisation in London
Some tips for your application đŤĄ
Show Off Your Optimisation Skills: Make sure to highlight your strong experience with optimisation in your application. We want to see how you've tackled real-world problems using optimisation techniques, so donât hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate a well-structured application that gets straight to the heart of your experience and skills. Remember, less is often more!
Tailor Your Application: Take the time to tailor your application to the role. Mention specific projects or experiences that align with the responsibilities listed in the job description. This shows us youâre genuinely interested and have done your homework.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to shine in front of our hiring team!
How to prepare for a job interview at Advanced Resource Managers Ltd
â¨Know Your Optimisation Inside Out
Make sure you brush up on your optimisation techniques and be ready to discuss specific models you've developed. Prepare examples that showcase your experience in building and implementing optimisation models, as this is a key requirement for the role.
â¨Showcase Your Python Skills
Since fluency in Python is crucial, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process as you go.
â¨Understand the Business Context
Familiarise yourself with the business problems that the company is trying to solve. Being able to articulate how your data science skills can directly impact their operations will show that youâre not just a techie but also a strategic thinker.
â¨Engage with Stakeholders
Prepare to discuss how youâve collaborated with stakeholders in the past. Highlight your communication skills and give examples of how youâve translated complex data insights into actionable strategies for non-technical team members.
