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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: Make an impact with cutting-edge technology while collaborating with top industry experts.
- 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 - AI and Machine Learning employer: The Developer Link
Contact Detail:
The Developer Link Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI and Machine Learning
✨Tip Number 1
Familiarize yourself with the specific AI and machine learning projects that the consultancy has undertaken. 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
Stay updated on the latest trends in data science and machine learning. Being knowledgeable about current technologies and methodologies will demonstrate your passion and commitment to the field.
We think you need these skills to ace Data Scientist - AI and Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI and machine learning. Focus on specific projects where you've developed algorithms, deployed models, or collaborated with stakeholders to solve data-driven challenges.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills in Python coding, MLOps, and cloud platforms align with the job requirements. Provide examples of past successes in similar roles.
Showcase Technical Skills: Clearly outline your technical skills related to machine learning, data analysis, and cloud technologies. Use bullet points to make this information easy to read and ensure it stands out to recruiters.
Prepare for Interviews: Since the interview process is two stages, prepare by practicing common data science interview questions. Be ready to discuss your previous projects in detail, especially those involving model deployment and collaboration with business stakeholders.
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 built models, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Since the role involves collaborating with business stakeholders, it's crucial to understand how data-driven solutions can address their challenges. Research the consultancy's clients and think about how your skills can provide value in those contexts.
✨Familiarize Yourself with Deployment 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 utilized these tools.
✨Prepare for Behavioral Questions
Expect questions that assess your teamwork and problem-solving abilities. Think of examples from your past experiences where you collaborated effectively or overcame challenges, as these will help illustrate your fit for the team.
