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For Companies At a Glance
- Tasks: Use machine learning and optimisation techniques to solve real-world problems and visualise outcomes.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Why this job: Make a tangible impact by applying your data science skills in exciting projects.
- Qualifications: Master’s degree or 2+ years of relevant experience in data science or ML required.
- Other info: Dynamic team environment with a focus on continuous improvement and learning.
The predicted salary is between 30000 - 50000 £ per year.
Skills/capabilities
- Strong knowledge of either machine learning and optimization 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).
- Experience in code testing (unit, integration, end-to-end tests).
- Strong data engineering skills in SQL and Python.
- Proficient in the use of Microsoft Office, including advanced Excel and PowerPoint.
Skills
- Advanced analytical skills, including the 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 optimization 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.
- Collaborative team-working, giving and receiving feedback, and always seeking to improve team processes.
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 optimization software products at scale (required).
- Experience in developing industrialized software, especially data science or machine learning software products (preferred).
- Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred).
Data Scientist in Essex employer: Insight International (UK) Ltd
Contact Detail:
Insight International (UK) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Essex
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with data science communities. 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 projects, especially those using Python and machine learning techniques. This is your chance to demonstrate how you tackle real-life problems and visualise outcomes.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with cloud platforms, version control, and any relevant tools like AWS or Docker.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented data scientists, and applying directly can give you a better chance of landing that dream job.
We think you need these skills to ace Data Scientist in Essex
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong knowledge of machine learning and optimisation techniques in your application. We want to see how you’ve applied these skills in real-life scenarios, so don’t hold back on the details!
Python is Key: Since being fluent in Python is a must, ensure your application showcases your programming prowess. Include specific examples of projects where you've used Python and relevant libraries like scikit-learn and pandas.
Cloud Experience Matters: If you’ve worked with cloud platforms like AWS or tools like SageMaker, make sure to mention it! We love seeing candidates who are comfortable with cloud-based ML tools and can navigate the tech landscape effortlessly.
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 Insight International (UK) Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning and optimisation techniques mentioned in the job description. Brush up on your Python skills and be ready to discuss how you've applied libraries like scikit-learn, pandas, and numpy in real-life scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific problems you've solved using data science and machine learning. Be ready to explain your thought process, the trade-offs you considered, and why you chose a particular approach. Real-world examples will make your answers stand out!
✨Familiarise Yourself with Cloud Tools
Since experience with cloud platforms like AWS and tools such as SageMaker is preferred, it’s a good idea to brush up on these. If you’ve used any cloud-based ML tools or CI/CD practices, be prepared to discuss them in detail.
✨Communicate Clearly and Confidently
You’ll need to explain complex technical concepts to people with varying levels of understanding. Practice simplifying your explanations and focus on how you can convey your ideas clearly. Good communication can set you apart from other candidates!
