At a Glance
- Tasks: Collaborate with teams to create impactful data solutions and analyze data for business insights.
- Company: Join CV-Library, a leading platform connecting job seekers with fresh opportunities.
- Benefits: Enjoy a full-time contract role with the flexibility of working outside IR35.
- Why this job: Be part of a dynamic team driving data-driven initiatives in a collaborative environment.
- Qualifications: 5+ years of experience in data science, strong programming skills, and advanced SQL knowledge required.
- Other info: Ideal for those passionate about building scalable data products and delivering value.
The predicted salary is between 43200 - 72000 £ per year.
Data Scientist, UK.
Job Title: Data Scientist (Outside IR35)
Company: CV-Library
Location:
Posted: Dec 2nd 2024
Closes: Jan 2nd 2025
Sector: IT
Contract: Contract
Hours: Full Time
Job Description:
- Collaborative experience: Worked closely with data scientists, engineers, and business stakeholders to deliver impactful data solutions.
- Cross-functional collaboration: Partnered with diverse teams, including data, engineering, and business professionals, to drive data-driven initiatives.
- Product Development: Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
- Data Analysis: Can carry out data analyses to yield actionable business insights.
- Experience: Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
- Tools Knowledge: Applied knowledge of data science tools and approaches across all data lifecycle stages.
- Mathematical Foundations: Thorough understanding of underlying mathematical foundations of statistics and machine learning.
- Programming Skills: Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
- SQL Knowledge: Advanced SQL knowledge.
- Experimental Design: Knowledge of experimental design and analysis.
- Mindset: Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
Welcome to Fresh Jobs the place to find the freshest job vacancies and career advice.
#J-18808-Ljbffr
Data Scientist (Outside IR35) employer: CV-Library
Contact Detail:
CV-Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Outside IR35)
✨Tip Number 1
Make sure to showcase your collaborative experience in your conversations. Highlight specific projects where you worked closely with data scientists, engineers, and business stakeholders to deliver impactful solutions.
✨Tip Number 2
Demonstrate your ability to build scalable data science products by discussing any relevant projects during interviews. Be prepared to explain the statistical or machine learning algorithms you used and how they contributed to the project's success.
✨Tip Number 3
Familiarize yourself with the latest trends and tools in data science. Being able to discuss current methodologies and technologies will show that you're proactive and knowledgeable in your field.
✨Tip Number 4
Prepare to talk about your programming skills, especially in Python or other object-oriented languages. Have examples ready that demonstrate your coding abilities and how you've applied them in real-world scenarios.
We think you need these skills to ace Data Scientist (Outside IR35)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position. Highlight the key responsibilities and required skills, such as collaboration with cross-functional teams and experience with statistical or machine learning algorithms.
Tailor Your CV: Customize your CV to reflect your relevant experience in data science, particularly focusing on your hands-on experience with data products, programming skills, and any specific tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your customer-centric mindset and pragmatic approach. Use specific examples from your past work that demonstrate your ability to deliver impactful data solutions and collaborate effectively with diverse teams.
Highlight Technical Skills: In your application, emphasize your advanced SQL knowledge and programming skills in languages like Python or Java. Mention any experience you have with experimental design and analysis, as these are crucial for the role.
How to prepare for a job interview at CV-Library
✨Showcase Your Collaborative Experience
Be prepared to discuss specific examples of how you've worked closely with data scientists, engineers, and business stakeholders. Highlight projects where your collaboration led to impactful data solutions.
✨Demonstrate Your Technical Skills
Make sure to talk about your hands-on experience with data science tools and programming languages like Python or SQL. Be ready to explain how you've applied these skills in real-world scenarios.
✨Discuss Your Product Development Experience
Share insights into how you've built scalable and reusable data science products. Emphasize your role in the development process and how you collaborated with data and software engineers.
✨Emphasize a Customer-Centric Mindset
Illustrate your customer-centric approach by providing examples of how your work has delivered value to end-users. Discuss how you balance swift execution with attention to detail in your projects.