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- Tasks: Build and deploy advanced machine learning models to solve real-world business challenges.
- Company: Join a global consultancy with a focus on innovation and analytics.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable strategies for influential organisations.
- Qualifications: Experience in machine learning, strong mathematical skills, and proficiency in Python or R.
- Other info: Collaborate with top-tier professionals in a dynamic and supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Our client, a global consultancy, is seeking Machine Learning Consultants to join their innovative and growing analytics team. You'll collaborate with top-tier professionals to design and build cutting-edge models that turn data into actionable strategies for some of the world's most influential organisations.
What you'll do:
- Build, test, and deploy advanced machine learning and mathematical models to tackle real-world business challenges.
- Work closely with clients to deeply understand their needs, diagnose key issues, and translate them into structured analytical solutions.
- Communicate technical insights in a clear, compelling way to non-technical stakeholders.
- Collaborate with cross-functional teams across data science, engineering, and strategy to deliver impactful end-to-end solutions.
What we're looking for:
- Strong experience developing and implementing machine learning models.
- Solid mathematical and statistical foundation (e.g., optimisation, probability, predictive modelling).
- Proficiency with tools such as Python, R, or similar data science languages.
- Experience working in consulting, analytics, or a client-facing technical environment is a plus.
- A problem-solving mindset and the ability to think creatively under pressure.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Consulting
Industries: Business Consulting and Services and IT Services and IT Consulting
Machine Learning Consultant in London employer: Sancus Day
Contact Detail:
Sancus Day Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Consultant in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. We recommend including case studies that highlight your problem-solving abilities and technical insights, making it easier for potential employers to see your value.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to machine learning. We suggest doing mock interviews with friends or mentors to build confidence and refine your communication skills.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got exclusive job listings and resources that can help you stand out. Plus, it’s a great way to show your enthusiasm for joining our innovative team.
We think you need these skills to ace Machine Learning Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Consultant role. Highlight your experience with machine learning models and any relevant tools like Python or R. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our innovative analytics team. Keep it engaging and relevant to the job description.
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you've tackled real-world business challenges using machine learning. We love seeing how you think creatively under pressure!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Sancus Day
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've worked on in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and problem-solving skills.
✨Understand the Business Context
Before the interview, research the company and its clients. Understand their industry and the specific challenges they face. This will help you tailor your answers and demonstrate how your skills can directly benefit their business.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining complex technical concepts in simple terms. You might be asked to present your findings to non-technical team members, so being able to communicate effectively is key. Use analogies or real-world examples to make your points relatable.
✨Showcase Your Collaborative Spirit
Since the role involves working with cross-functional teams, be ready to share examples of successful collaborations. Highlight how you’ve worked with data scientists, engineers, or strategists to deliver impactful solutions, showcasing your teamwork and adaptability.
