At a Glance
- Tasks: Join a team of data specialists to analyze complex datasets and build AI solutions.
- Company: Work with a leading private sector client delivering innovative data-led products in the UK.
- Benefits: Enjoy hybrid working and a competitive salary of £60,000 per year.
- Why this job: Make a real-world impact while collaborating with industry experts in a dynamic environment.
- Qualifications: Must have a degree in Data Science or related fields and strong programming skills in Python, R, and SQL.
- Other info: Ideal for those passionate about continual learning and mentoring junior team members.
The predicted salary is between 48000 - 72000 £ per year.
I am currently working with a large private sector client who specialize in delivering exciting data-led products and services to the largest public and private sector organisations in the UK.
Hybrid working
– £60,000 p/a
– Location: Birmingham
As a Data Scientist, you will be working collaboratively with experts across the industry to uncover hidden insights and build AI solutions that solve important and impactful real-world problems within a growing team of data specialists. You will leverage cutting-edge technology to analyse complex datasets and craft innovative solutions to a wide array of industry challenges.
Experience
- Strong experience of programming languages like Python, R, and SQL to ingest and analyse datasets.
- Knowledge and understanding of core Data Science, Machine Learning, and AI principles, considerations, and applications.
- Understanding of how to build data products and services, including project/product management, prototyping, and deployment lifecycles.
- A keen interest in continual learning and consulting across varying projects with our clients in the engineering domain.
- An ability to quickly absorb complex concepts, identify solutions and effectively communicate results to audiences of varying technical knowledge.
- Excellent verbal and written communication skills to be able to liaise with and report to clients and partners.
- An interest in helping junior team members to successfully deliver their projects.
Professional experience in Data Science:
Minimum 2.2 bachelor’s or above in Data Science, Computer Science, Mathematics, Statistics, Physics, Operational Research, Engineering, or related degree.
What you need to do now
If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now.
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Agency Only - Data Scientist R-127979 employer: Hays Technology
Contact Detail:
Hays Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agency Only - Data Scientist R-127979
✨Tip Number 1
Make sure to showcase your programming skills in Python, R, and SQL during the interview. Be prepared to discuss specific projects where you used these languages to analyze datasets and derive insights.
✨Tip Number 2
Familiarize yourself with the latest trends in Data Science, Machine Learning, and AI. Being able to discuss recent advancements or case studies can demonstrate your passion and knowledge in the field.
✨Tip Number 3
Highlight your experience in project management and product development. Be ready to explain how you've contributed to the lifecycle of data products, from prototyping to deployment.
✨Tip Number 4
Prepare to discuss your communication skills and how you've effectively conveyed complex data insights to non-technical audiences. This is crucial for collaborating with clients and team members.
We think you need these skills to ace Agency Only - Data Scientist R-127979
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your strong experience with programming languages like Python, R, and SQL in your CV. Provide specific examples of how you've used these skills to analyze datasets and solve real-world problems.
Showcase Your Knowledge: Demonstrate your understanding of core Data Science, Machine Learning, and AI principles in your application. You can include projects or coursework that reflect your knowledge and practical applications in these areas.
Communicate Effectively: Since excellent verbal and written communication skills are crucial for this role, ensure your application is clear and concise. Tailor your language to be accessible to both technical and non-technical audiences.
Express Your Interest in Mentorship: Mention your interest in helping junior team members in your cover letter. This shows your willingness to collaborate and contribute to the team's success, which is a valuable trait for this position.
How to prepare for a job interview at Hays Technology
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, R, and SQL. Bring examples of projects where you've used these skills to analyze datasets and solve problems.
✨Demonstrate Your Understanding of Data Science Principles
Make sure you can explain core Data Science, Machine Learning, and AI principles clearly. Be ready to discuss how you've applied these concepts in real-world scenarios.
✨Communicate Effectively
Practice explaining complex ideas in simple terms. You may need to present your findings to clients or team members with varying levels of technical knowledge, so clarity is key.
✨Express Your Interest in Continuous Learning
Highlight your passion for ongoing education and consulting across different projects. Share any recent courses or certifications that demonstrate your commitment to staying updated in the field.