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For Companies At a Glance
- Tasks: Develop and implement cutting-edge ML solutions for commercial real estate.
- Company: Join a dynamic real estate tech company that's shaping the future with innovation.
- Benefits: Enjoy remote work flexibility and occasional travel to our Canary Wharf office.
- Why this job: Be part of a high-performing team making a real impact in the industry.
- Qualifications: 3+ years in ML/AI with a Master’s in a quantitative field required.
- Other info: Collaborate with cross-functional teams and enhance your skills in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
We are searching for a Machine Learning professional to join a high-performing team within a forward-thinking real estate technology business.
What you'll be doing:
- Build and deploy ML/AI solutions for commercial real estate, including generative AI models, LLMs, and time series analysis.
- Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production-ready Python code.
- Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle.
What we're looking for:
Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering.
Technical Skills: Proficient in Python and key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development.
Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is a plus.
Location: This is a remote-first role, with occasional travel to the Canary Wharf (London) office 1–2 times per month.
Senior Analyst employer: Tangent International
Contact Detail:
Tangent International Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI, especially as they relate to commercial real estate. This will not only help you understand the industry better but also allow you to speak confidently about how your skills can contribute to the team.
✨Tip Number 2
Network with professionals in the real estate technology sector. Attend relevant webinars or meetups to connect with people who work in similar roles. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully built and deployed ML solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this will demonstrate your hands-on experience.
✨Tip Number 4
Brush up on your Python coding skills, particularly in relation to ML libraries. Consider working on a small project that showcases your ability to write production-ready code, as this will be a key aspect of the role.
We think you need these skills to ace Senior Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and AI, particularly focusing on your proficiency in Python and relevant ML libraries. Include specific projects or roles that demonstrate your ability to build and deploy ML solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, especially your experience with generative AI models and time series analysis. Be sure to mention any familiarity you have with commercial real estate.
Showcase Your Technical Skills: If possible, include links to your GitHub or other repositories where you have shared your work on ML projects. This can provide tangible evidence of your skills in prompt engineering and production-level code development.
Prepare for Interviews: Anticipate questions related to your analytical thinking and problem-solving approach. Be ready to discuss specific examples from your past work that demonstrate your ability to collaborate cross-functionally and translate business needs into ML tasks.
How to prepare for a job interview at Tangent International
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and key ML libraries in detail. Bring examples of projects where you've built and deployed ML/AI solutions, especially those related to LLMs and time series analysis.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical thinking and scientific approach to problem-solving. Prepare to walk through how you would tackle specific challenges in commercial real estate using machine learning.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with cross-functional teams and translate business needs into ML tasks.
✨Research the Company and Industry
Familiarise yourself with the real estate technology sector and the company's position within it. Understanding their products and how they leverage machine learning will help you tailor your responses and show genuine interest.
