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- Tasks: Join a team to develop data-driven products using Python and big data analytics.
- Company: Innovative tech company focused on enhancing retail and supplier interactions through data.
- Benefits: Enjoy flexible working options, travel opportunities, and a collaborative team environment.
- Why this job: Make an impact by turning complex algorithms into real-world applications while travelling to exciting cities.
- Qualifications: Strong Python skills, statistical knowledge, and experience with data science libraries required.
- Other info: This is a 6-month assignment with potential for growth and learning.
The predicted salary is between 36000 - 60000 £ per year.
We are 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
Any of the following skills would be an added bonus:
- 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 database
- 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.
Data Scientist Python Software - London employer: Jas Gujral
Contact Detail:
Jas Gujral Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Python Software - London
✨Tip Number 1
Familiarise yourself with the specific data science libraries mentioned in the job description, such as scikit-learn and pandas. Being able to discuss your experience with these tools during an interview will demonstrate your technical proficiency and readiness for the role.
✨Tip Number 2
Brush up on your statistical knowledge and be prepared to discuss how you've applied statistical methods in previous projects. This will show that you can effectively collaborate with the statistical analysts on the team.
✨Tip Number 3
Since the role involves working with REST APIs, consider building a small project that utilises an API to fetch and manipulate data using Python. This hands-on experience will not only enhance your skills but also provide concrete examples to discuss in your interview.
✨Tip Number 4
If you have experience with large datasets or distributed computing frameworks like Hadoop, make sure to highlight this in your conversations. Even if it's not a primary requirement, showcasing this knowledge can 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 where you've used these skills, especially in a production environment.
Showcase Statistical Knowledge: In your application, emphasise your statistical knowledge and any relevant methodologies you've worked with. Mention any experience you have with large datasets or REST APIs, as these are key to the role.
Include Relevant Experience: If you have experience with Hadoop/MapReduce, SAS, or SQL/NoSQL databases, be sure to include this in your application. Highlight any mentoring or training roles you've had in Python, as this could set you apart from other candidates.
Format Your Application Correctly: Follow the instructions carefully by sending your CV in Word format. Don't forget to include your daily rate and availability, as this is specifically requested in the job description.
How to prepare for a job interview at Jas Gujral
✨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
Brush up on your statistical knowledge and be ready to explain how you’ve applied statistical methods in your previous work. This will demonstrate your ability to collaborate effectively with statistical analysts.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you may need to convey your ideas to non-technical team members or stakeholders.
✨Prepare for Technical Questions
Expect technical questions related to REST APIs, large datasets, and possibly even Hadoop/MapReduce. Review your past experiences and be ready to discuss how you've tackled challenges in these areas.
