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- Tasks: Join a team to tackle AI/ML projects and provide data-driven solutions.
- Company: Work with a leading global consultancy focused on Data and AI expansion.
- Benefits: Enjoy a competitive salary, potential bonuses, and a flexible hybrid work model.
- Why this job: Be part of an innovative team, enhance your skills, and make a real impact.
- Qualifications: Strong skills in machine learning, Python, cloud platforms, and data analysis required.
- Other info: 2-stage interview process starts in January; ideal start date is February 1st, 2025.
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.
Additionally, you’ll stay updated with industry trends, engage in R&D activities, and contribute to knowledge sharing within the team. 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
Ideal start date is 1st Feb 25 (dependant on notice periods)
Please apply with your CV if interested or contact for more info.
Data Scientist - Global Management Consultancy employer: The Developer Link
Contact Detail:
The Developer Link Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Global Management Consultancy
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Docker, AWS, Azure, and Google Cloud. Having hands-on experience or projects showcasing your skills with these tools can set you apart during the interview process.
✨Tip Number 2
Prepare to discuss your previous experiences with machine learning and data analysis. Be ready to share specific examples of projects where you developed algorithms or deployed models, as this will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 3
Stay updated on the latest trends in AI and data science. Being able to discuss recent advancements or case studies in the field during your interview will show your passion for the industry and your commitment to continuous learning.
✨Tip Number 4
Network with professionals in the data science community, especially those working in consultancy roles. Engaging with others in the field can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Data Scientist - Global Management Consultancy
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and cloud technologies. Use specific examples of projects you've worked on that align with the responsibilities mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the consultancy's needs. Mention how your skills can help solve their challenges and contribute to their AI/ML projects.
Showcase Technical Skills: Clearly list your technical skills related to Python, MLOps, and cloud platforms like AWS or Azure. Provide examples of how you've used these skills in previous roles or projects.
Prepare for Interviews: Research common interview questions for data scientists and prepare your answers. Be ready to discuss your past projects, the methodologies you used, and how you approached problem-solving in a collaborative environment.
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 deployed models using cloud platforms like AWS or Azure.
✨Understand the Business Context
Research the consultancy's clients and their industries. Be ready to discuss how you can identify challenges and propose data-driven solutions that align with their business goals.
✨Demonstrate Collaboration
Since the role involves working closely with business stakeholders, share examples of how you've collaborated in the past. Emphasize your ability to communicate complex data insights in an understandable way.
✨Stay Updated on Industry Trends
Show your enthusiasm for continuous learning by discussing recent trends in AI and data science. Mention any relevant R&D activities you've engaged in and how they could benefit the team.
