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- Tasks: Join a team to execute AI/ML projects and solve real business challenges.
- Company: Work with a leading European consultancy focused on Data and AI solutions.
- Benefits: Enjoy a competitive salary, potential bonuses, and a flexible hybrid work model.
- Why this job: Be part of an innovative team making a global impact in data science.
- Qualifications: Strong skills in machine learning, Python, cloud platforms, and data analysis required.
- Other info: 2-stage interview process starts in January; work 1-2 days in Central London.
The predicted salary is between 60000 - 80000 £ 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 for Machine Learning and AI employer: The Developer Link
Contact Detail:
The Developer Link Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist for Machine Learning and AI
✨Tip Number 1
Familiarize yourself with the specific machine learning and AI projects that the consultancy has worked on. This will not only help you understand their approach but also allow you to discuss relevant experiences during your interview.
✨Tip Number 2
Brush up on your knowledge of cloud platforms like AWS, Azure, and Google Cloud. Being able to speak confidently about deploying models in these environments will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss how you've collaborated with business stakeholders in the past. Highlighting your ability to translate technical data solutions into actionable insights for non-technical audiences will be crucial.
✨Tip Number 4
Network with current or former employees of the consultancy on platforms like LinkedIn. They can provide valuable insights into the company culture and the types of projects you might work on, which can help you tailor your approach.
We think you need these skills to ace Data Scientist for Machine Learning and AI
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 machine learning, MLOps, and database tools. If you have experience deploying models using Docker or creating visualizations, make sure to include those details.
Prepare for Interviews: Since the interview process will be in two stages, prepare by reviewing common data science interview questions. Be ready to discuss your previous projects and how you approached problem-solving with data-driven solutions.
How to prepare for a job interview at The Developer Link
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning, data analysis, and Python coding. Highlight specific projects where you've successfully implemented algorithms or models, and be ready to explain your thought process and the technologies you used.
✨Understand the Business Context
Since the role involves collaborating with business stakeholders, demonstrate your ability to connect technical solutions to business challenges. Research the company’s clients and think about how data-driven solutions can address their needs.
✨Familiarize Yourself with Deployment Technologies
Make sure you understand how to deploy models using Docker, AWS, Azure, or Google Cloud. Be ready to discuss any relevant experience you have with these platforms and how they can enhance the deployment of machine learning models.
✨Prepare for Behavioral Questions
Expect questions that assess your teamwork and problem-solving skills. Think of examples from your past experiences where you collaborated effectively with others or overcame challenges in a project setting.
