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- 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, competitive salary of £60,000, and opportunities for professional growth.
- Why this job: Be part of a dynamic team tackling impactful challenges using cutting-edge technology.
- Qualifications: Strong programming skills in Python, R, SQL; degree in Data Science or related field required.
- Other info: Ideal for those passionate about continuous learning and mentoring junior team members.
The predicted salary is between 43200 - 84000 £ per year.
I am currently working with a large private sector client who specialise 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 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 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: Hays DT - Midlands
Contact Detail:
Hays DT - Midlands 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. Prepare specific examples of projects where you've 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
Prepare to discuss your experience with project management and the deployment life cycle of data products. Highlight any relevant experiences where you successfully managed a project from conception to delivery.
✨Tip Number 4
Show your enthusiasm for mentoring and helping junior team members. Be ready to share examples of how you've supported others in their projects, as this aligns with the collaborative culture they are looking for.
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 Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your interest in continual learning and how you can contribute to the team, especially in mentoring junior members.
Showcase Relevant Projects: Include specific examples of data products or services you've worked on. Detail your role in project management, prototyping, and deployment to demonstrate your hands-on experience.
Highlight Communication Skills: Since excellent verbal and written communication skills are crucial, provide examples of how you've effectively communicated complex concepts to diverse audiences in previous roles.
How to prepare for a job interview at Hays DT - Midlands
✨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 Data Science, Machine Learning, and AI concepts clearly. Be ready to discuss how you've applied these principles in real-world scenarios.
✨Communicate Effectively
Practice explaining complex ideas in simple terms. Since you'll be liaising with clients and partners, strong verbal and written communication skills are essential.
✨Express Your Interest in Continuous Learning
Show enthusiasm for ongoing education and consulting across various projects. Mention any recent courses or certifications that demonstrate your commitment to staying updated in the field.
