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- Tasks: Engage with clients, tackle complex data challenges, and implement innovative AI solutions.
- Company: Leading software engineering firm in Greater London with a culture of trust.
- Benefits: Unlimited holiday, medical insurance, stock options, and transparent salaries.
- Why this job: Join top industry minds and make a real impact in the world of AI.
- Qualifications: PhD or Master’s in Computer Science or related field required.
- Other info: Unique opportunity for career growth in a supportive environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading software engineering firm in Greater London is seeking a skilled professional in data science. The candidate will interact with clients, solve complex problems, and deploy innovative solutions.
A PhD or Master’s degree in Computer Science or a related field is required. The firm emphasizes a culture of trust and offers unlimited holiday, medical insurance, stock options, and open salaries. This is a unique opportunity to work with top minds in the industry.
Client-Facing Lead Data Scientist — ML, LLMs & AI Solutions in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Client-Facing Lead Data Scientist — ML, LLMs & AI Solutions in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML, LLMs, and AI solutions. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Client-Facing Lead Data Scientist — ML, LLMs & AI Solutions in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Client-Facing Lead Data Scientist. Highlight your experience with ML, LLMs, and AI solutions, and don’t forget to showcase any client interaction you've had. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with our needs. We love seeing enthusiasm, so let your personality come through while keeping it professional.
Showcase Problem-Solving Skills: In your application, be sure to include examples of complex problems you've solved in the past. We’re looking for innovative thinkers who can tackle challenges head-on, so share those success stories that demonstrate your analytical prowess!
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 don’t miss out on any important updates. Plus, it shows us you’re keen on joining our awesome team!
How to prepare for a job interview at Jobster
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in machine learning and AI solutions. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems.
✨Show Off Your Client Skills
Since this role is client-facing, practice how you'll communicate complex data concepts to non-technical clients. Think of examples where you've successfully interacted with clients and how you’ve tailored solutions to meet their needs.
✨Understand the Company Culture
Research the firm’s culture of trust and their approach to work-life balance. Be prepared to discuss how you align with their values, especially regarding unlimited holiday and open salaries, and how you can contribute positively to their environment.
✨Prepare Questions for Them
Have a few thoughtful questions ready about their projects, team dynamics, or future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
