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- Tasks: Join a team to execute AI/ML projects and propose data-driven solutions.
- Company: Work with a leading European consultancy specializing in Data and AI.
- Benefits: Enjoy a competitive salary, potential bonuses, and a flexible hybrid work model.
- Why this job: Be part of an innovative team making a real impact in the AI space.
- Qualifications: Strong skills in machine learning, Python, MLOps, and cloud platforms required.
- Other info: 2-stage interview process starts in January; work 1-2 days in Central London.
The predicted salary is between 48000 - 96000 £ per year.
Data Scientist – London Hybrid – £60 to 80k salary range – Global Management Consultancy
TDL are partnered with a European headquartered Consultancy with global clients, helping them expand their Data and AI function in the UK. The company has 40+ Data and AI specialists based in Europe. 1 of the Senior Data Scientists from this team has relocated to London, the successful candidate will join this person as a peer and help execute AI/ML projects with existing UK clients with needs in this area.
This role involves collaborating with business stakeholders to identify challenges and propose data-driven solutions. Key responsibilities include enhancing data collection methodologies, developing algorithms for data analysis, and building machine learning and statistical models. You’ll deploy models using technologies like Docker, AWS, Azure, or Google Cloud, and create reports and visualizations to provide actionable insights.
The role requires strong technical skills in machine learning, data analysis, Python coding, MLOps, cloud platforms, and database tools.
1-2 days per week working from Central London office
Salary + potential bonus + benefits package
2 stage Interview process will happen in January
Data Scientist - Machine Learning, AI, Python employer: The Developer Link
Contact Detail:
The Developer Link Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Machine Learning, AI, Python
✨Tip Number 1
Familiarize yourself with the specific machine learning algorithms and techniques that are relevant to the consultancy's projects. Being able to discuss these in detail during your interview will show your expertise and enthusiasm for the role.
✨Tip Number 2
Brush up on your cloud platform skills, especially with AWS, Azure, or Google Cloud. Consider working on a small project that utilizes one of these platforms to demonstrate your practical experience during the interview.
✨Tip Number 3
Prepare to discuss how you've collaborated with business stakeholders in the past. Think of examples where you identified challenges and proposed data-driven solutions, as this is a key part of the role.
✨Tip Number 4
Since the role involves creating reports and visualizations, practice using tools like Tableau or Power BI. Being able to showcase your ability to present data insights effectively will set you apart from other candidates.
We think you need these skills to ace Data Scientist - Machine Learning, AI, Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, data analysis, and Python coding. Include specific projects or achievements that demonstrate your technical skills and ability to collaborate with business stakeholders.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs in AI/ML projects and mention any relevant experience with cloud platforms like AWS or Azure.
Showcase Your Technical Skills: Be specific about your technical expertise in your application. Mention the algorithms you have developed, the models you have built, and any experience with deploying models using Docker or cloud technologies.
Prepare for the Interview: Since the interview process will happen in January, start preparing now. Review common data science interview questions, practice explaining your past projects, and be ready to discuss how you can provide data-driven solutions to business challenges.
How to prepare for a job interview at The Developer Link
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, Python coding, and MLOps. Highlight specific projects where you've successfully implemented algorithms or built models, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Since the role involves collaborating with business stakeholders, make sure you can articulate how your data-driven solutions have addressed real-world challenges in previous roles. This shows that you can bridge the gap between technical work and business needs.
✨Familiarize Yourself with Cloud Technologies
The job mentions deploying models using Docker, AWS, Azure, or Google Cloud. Brush up on these technologies and be ready to discuss your experience with them, as well as any relevant projects where you've utilized cloud platforms.
✨Prepare for Behavioral Questions
Expect questions about teamwork and collaboration, especially since you'll be working closely with a Senior Data Scientist and other stakeholders. Think of examples that showcase your ability to work in a team and communicate effectively.
