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- Tasks: Lead exciting data-driven projects in defence, security, and technology.
- Company: Join a top Design & Engineering consultancy making an impact in critical sectors.
- Benefits: Enjoy flexible and remote work options with a focus on continuous learning.
- Why this job: Work with cutting-edge tech to solve real-world problems and grow your skills.
- Qualifications: Strong programming skills in Python, R, SQL; degree in relevant fields required.
- Other info: Collaborate with industry experts and support junior team members in their projects.
The predicted salary is between 28800 - 48000 £ per year.
Our client, a leading Design & Engineering consultancy, is seeking a talented Data Scientist to join their Data & Artificial Intelligence team within the Aerospace, Defence, Security, and Technology business. You’ll lead exciting projects, delivering data-driven products and services to key clients in defence, security, intelligence, and critical national infrastructure. This role is available in Birmingham, Manchester, Liverpool, Leeds, and Sheffield, with flexible and remote working options available. Experience Required for Data Scientist: – 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 their 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. Responsibilities for Data Scientist: – 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. – Your continued growth and development goals will be met through a variety of projects that challenge you to stay up to date with the latest technological advances and embrace the challenges that consulting brings. – The company will support you through their Learning Pathway and flexibility to try roles outside of your current areas of expertise
Data Scientist employer: Talent Link
Contact Detail:
Talent Link Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific programming languages mentioned in the job description, like Python, R, and SQL. Consider working on personal projects or contributing to open-source projects that showcase your skills in these languages.
✨Tip Number 2
Stay updated on the latest trends in Data Science, Machine Learning, and AI. Follow relevant blogs, attend webinars, or join online communities to engage with other professionals and learn about new tools and techniques.
✨Tip Number 3
Prepare to discuss your experience with building data products and services. Think of examples where you managed projects or contributed to the deployment lifecycle, as this will demonstrate your practical knowledge during interviews.
✨Tip Number 4
Highlight your ability to communicate complex concepts clearly. Practice explaining your past projects to friends or family who may not have a technical background, as this will help you articulate your ideas effectively in interviews.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your strong experience with programming languages like Python, R, and SQL. Provide specific examples of how you've used these skills in previous projects or roles.
Showcase Your Knowledge: Demonstrate your understanding of core Data Science, Machine Learning, and AI principles. Mention any relevant projects where you applied these concepts, especially in the context of engineering or technology.
Communicate Effectively: Since excellent verbal and written communication skills are crucial, ensure your application is clear and concise. Tailor your language to be accessible to both technical and non-technical audiences.
Express Your Interest in Learning: Convey your enthusiasm for continual learning and consulting across various projects. Mention any relevant courses, certifications, or self-study that demonstrate your commitment to professional growth in Data Science.
How to prepare for a job interview at Talent Link
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Python, R, and SQL. Highlight specific projects where you used these skills to analyze datasets and deliver insights.
✨Demonstrate Your Understanding of Data Science Principles
Make sure to articulate your knowledge of core Data Science, Machine Learning, and AI principles. Be ready to explain how you've applied these concepts in real-world scenarios.
✨Communicate Effectively
Since excellent verbal and written communication skills are crucial, practice explaining complex data concepts in simple terms. This will help you connect with interviewers who may not have a technical background.
✨Express Your Interest in Continuous Learning
Show enthusiasm for continual learning and consulting across various projects. Discuss how you stay updated with the latest technological advances and how you plan to grow within the role.
