At a Glance
- Tasks: Join a team to develop Python code for data science products.
- Company: Innovative company focused on big data analytics for retailers and suppliers.
- Benefits: Opportunity for travel to Paris and Munich, plus hands-on experience with cutting-edge technology.
- Why this job: Work with talented analysts and make a real impact in the data-driven world.
- Qualifications: Strong Python skills, statistical knowledge, and experience with data sets required.
- Other info: 6-month assignment in London; send CV in Word format with daily rate.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Position: Data Scientist and Python Software Developer – London
We’re looking to recruit a Data Scientist and Python Software Developer with data science skills to join a product team that is focused on building well-engineered products.
The products provide an intuitive way for retailers and suppliers to interact and consume ‘big data’ analytics to make better business decisions.
This role would consist of working together with a team of statistical analysts, understanding their methodologies and algorithms, and turning them into production-ready code written in Python.
This role would also require occasional travel to Paris or Munich.
Main skills:
- Excellent knowledge of Python and its related data science libraries (scikit, pandas, etc)
- Prior experience of using Python to perform calculations and generate datasets
- Good statistical knowledge
- Excellent communication and decision-making skills
- Exposure to working with REST APIs
Desirable skills:
- Has run code across Hadoop/MapReduce clusters
- Has code running in a production environment
- Used SAS before (or at least can decipher SAS code)
- Worked with very large data sets before (billions of records)
- Knowledge of SQL/NoSQL databases
- Knowledge or experience in D3.js
- Experience acting as a mentor/trainer in Python
This is a 6-month assignment in London with travel to Paris and Munich.
Please send your CV to us in Word format along with daily rate and availability.
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Data Scientist Python Software - London employer: Onyx-Conseil
Contact Detail:
Onyx-Conseil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Python Software - London
✨Tip Number 1
Make sure to showcase your Python skills in any discussions or interviews. Be prepared to discuss specific libraries like scikit-learn and pandas, and how you've used them in past projects.
✨Tip Number 2
Familiarize yourself with REST APIs, as this role requires interaction with them. Consider building a small project that utilizes an API to demonstrate your understanding.
✨Tip Number 3
Highlight any experience you have with large datasets or production environments. If you've worked with Hadoop or MapReduce, be ready to discuss your contributions and the challenges you faced.
✨Tip Number 4
Since this role involves collaboration with statistical analysts, brush up on your statistical knowledge. Being able to communicate effectively about methodologies will set you apart from other candidates.
We think you need these skills to ace Data Scientist Python Software - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and relevant data science libraries like scikit-learn and pandas. Include specific projects or roles where you've utilized these skills.
Showcase Statistical Knowledge: In your application, emphasize your statistical knowledge and any relevant methodologies you have worked with. This could include examples of how you've applied statistical analysis in previous roles.
Highlight Communication Skills: Since excellent communication is a key requirement, provide examples in your application that demonstrate your ability to communicate complex data insights effectively, whether through reports, presentations, or team collaborations.
Mention Relevant Experience: If you have experience working with REST APIs, Hadoop/MapReduce clusters, or large datasets, make sure to mention this in your application. Highlighting these experiences can set you apart from other candidates.
How to prepare for a job interview at Onyx-Conseil
✨Showcase Your Python Skills
Make sure to highlight your proficiency in Python and its data science libraries like scikit-learn and pandas. Be prepared to discuss specific projects where you've used these tools to solve real-world problems.
✨Understand Statistical Methodologies
Since the role involves working with statistical analysts, brush up on key statistical concepts and methodologies. Be ready to explain how you can translate these into production-ready code.
✨Communicate Effectively
Excellent communication skills are crucial for this position. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with team members who may not have a technical background.
✨Prepare for Technical Questions
Expect technical questions related to REST APIs, SQL/NoSQL databases, and handling large datasets. Review your past experiences and be ready to discuss how you've tackled challenges in these areas.