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- Tasks: Join a team to execute AI/ML projects and provide data-driven solutions.
- Company: Work with a leading European consultancy focused on 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 data landscape.
- 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 Analysis Scientist - 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 Analysis Scientist - Machine Learning
✨Tip Number 1
Familiarize yourself with the specific machine learning algorithms and data analysis techniques that are relevant to the role. Being able to discuss these in detail during your interviews will show your expertise and enthusiasm for the position.
✨Tip Number 2
Make sure to highlight any experience you have with cloud platforms like AWS, Azure, or Google Cloud. Be prepared to share examples of how you've deployed models in these environments, as this is a key aspect of the job.
✨Tip Number 3
Network with professionals in the data science field, especially those working in consultancy. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be beneficial during your interview.
✨Tip Number 4
Prepare to discuss how you've collaborated with business stakeholders in the past. Being able to demonstrate your ability to translate complex data findings into actionable business insights will set you apart from other candidates.
We think you need these skills to ace Data Analysis Scientist - Machine Learning
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, data analysis, and relevant technologies like Python, Docker, and cloud platforms. Use specific examples to demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities mentioned in the job description, particularly your experience in collaborating with stakeholders and developing data-driven solutions.
Showcase Technical Skills: Clearly outline your technical skills related to machine learning and data analysis. Mention any relevant projects or experiences where you deployed models or created visualizations that provided actionable insights.
Prepare for Interviews: Since the interview process will be in two stages, prepare by reviewing common data science interview questions, especially those related to AI/ML projects. Be ready to discuss your previous work and how it relates to the challenges faced by the company's clients.
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 company’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 any relevant experience you have with them, as well as your approach to MLOps.
✨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.
