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For Companies At a Glance
- Tasks: Collaborate with industry experts to analyze data and build AI solutions for real-world problems.
- Company: Join 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: Be part of a growing team tackling impactful challenges with cutting-edge technology.
- Qualifications: Strong programming skills in Python, R, and SQL; degree in Data Science or related field required.
- Other info: Opportunity to mentor junior team members and engage in diverse projects.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
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 in 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 life cycles.
- 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. #J-18808-Ljbffr
Agency Only - Data Scientist R-127979 employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agency Only - Data Scientist R-127979
✨Tip Number 1
Familiarize yourself with the latest trends in Data Science, Machine Learning, and AI. This will not only help you during interviews but also show your passion for the field and your commitment to continual learning.
✨Tip Number 2
Engage with the Data Science community through forums, webinars, or local meetups. Networking can lead to valuable insights and connections that may help you land the job.
✨Tip Number 3
Prepare to discuss specific projects where you've used Python, R, or SQL to solve real-world problems. Be ready to explain your thought process and the impact of your work.
✨Tip Number 4
Showcase your ability to communicate complex concepts clearly. Practice explaining your past projects to someone without a technical background to demonstrate your communication skills.
We think you need these skills to ace Agency Only - Data Scientist R-127979
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with programming languages like Python, R, and SQL. Emphasize any projects where you've applied Data Science, Machine Learning, or AI principles.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and your interest in the specific role. Mention how your skills align with the company's goals and your eagerness to work collaboratively with industry experts.
Showcase Your Communication Skills: Since excellent verbal and written communication skills are crucial, consider including examples of how you've effectively communicated complex data insights to diverse audiences in previous roles.
Highlight Continuous Learning: Demonstrate your commitment to continual learning by mentioning any relevant courses, certifications, or projects that showcase your ability to stay updated with the latest trends in Data Science and AI.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, R, and SQL. Highlight specific projects where you've used these skills to analyze datasets and develop solutions.
✨Demonstrate Your Understanding of Data Science Principles
Make sure you can explain core concepts of Data Science, Machine Learning, and AI. Be ready to discuss how you've applied these principles in real-world scenarios, especially in project management and deployment.
✨Communicate Effectively
Practice explaining complex data concepts 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
Show enthusiasm for ongoing education and consulting across different projects. Mention any recent courses or certifications you've completed that relate to Data Science or AI.
