At a Glance
- Tasks: Develop optimisation and machine learning models for decision-support software.
- Company: Global leading IT consultancy with a focus on innovation.
- Benefits: Market rates, flexible working, and inclusive culture.
- Why this job: Join a dynamic team and make an impact in data science.
- Qualifications: Master's degree or 2+ years of relevant experience required.
- Other info: Work 3 days a week in Hounslow with excellent career growth.
The predicted salary is between 36000 - 60000 £ per year.
My client is a global leading IT consultancy. They are on the hunt for a true data scientist with optimisation expertise or experience.
Purpose: This role is responsible for developing industrialised optimisation and machine learning models as part of a full-stack product squad that delivers operations decision-support software. Operational research and optimisation experience is a must have.
Skills/capabilities
- Strong knowledge of either machine learning and optimisation techniques, including supervised (regression, tree methods, etc.), unsupervised (clustering) learning, and operations research (linear, mixed integer programming, heuristics).
- Fluent in Python (required) and other programming languages (preferred) with strong skills in applying data science, machine learning, and operations research packages (scikit-learn, pandas, numpy, gurobi etc.) to solve real-life problems and visualise the outcomes (e.g. seaborn).
- Proficient in working with cloud platforms (AWS preferred), code versioning (Git), experiment tracking (e.g. MLflow).
- Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker, ECS) nice to have.
- Experience in code testing (unit, integration, end-to-end tests).
- Strong data engineering skills in SQL and Python.
- Proficient in use of Microsoft Office, including advanced Excel and PowerPoint.
Advanced analytical skills
- Ability to apply a range of data science and analytic techniques to quickly generate accurate business insights.
- Understanding of the trade-offs of different data science, machine learning, and optimisation approaches, and ability to intelligently select which are the best candidates to solve a particular business problem.
- Able to structure business and technical problems, identify trade-offs, and propose solutions.
- Communication of advanced technical concepts to audiences with varying levels of technical skills.
- Managing priorities and timelines to deliver features in a timely manner that meet business requirements.
Qualifications/experience
- Master's degree or greater in data science, machine learning, or operational research, or 2+ years of highly relevant industry experience (required).
- 0-2 years working on production machine learning or optimisation software products at scale (required).
- Experience in developing industrialised software, especially data science or machine learning software products (preferred).
- Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred).
This temporary contract is inside IR35 and will require working under the direction of the client delivery manager as part of a multi-disciplinary team. The successful candidate will follow established delivery processes and working practices.
Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website.
Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job.
Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds.
Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.
Data Scientist in Hounslow employer: Damia Group Ltd
Contact Detail:
Damia Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Hounslow
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, attend meetups, and engage in online forums. 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. Use platforms like GitHub to share your code and visualisations, making it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Data Scientist in Hounslow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your optimisation expertise and relevant experience in machine learning. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've applied data science techniques, especially in optimisation. We love seeing real-life applications of your skills, so don't hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and skills. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Damia Group Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the specific machine learning and optimisation techniques mentioned in the job description. Brush up on your Python skills and be ready to discuss how you've used libraries like scikit-learn and pandas to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've structured complex business and technical problems in the past. Be ready to explain your thought process and the trade-offs you considered when selecting different data science approaches.
✨Familiarise Yourself with Cloud Tools
Since experience with cloud platforms like AWS is preferred, make sure you can talk about any relevant projects you've worked on. If you’ve used tools like SageMaker or Docker, have specific examples ready to share.
✨Communicate Clearly and Confidently
Practice explaining advanced technical concepts in simple terms. You might encounter interviewers with varying levels of technical expertise, so being able to communicate effectively is key to making a good impression.