Senior Data Scientist

at  XYZ Reality

Are you ready to join an award-winning construction tech company that’s changing the game?
XYZ Reality, a leading ConTech company based in London, is currently searching for a talented, passionate, and experienced Senior Data Scientist to join our team. Our mission is to revolutionize the construction industry with our custom augmented reality hardware and innovative software, and we’re seeking a leader to help us achieve this goal.
Our team of highly motivated and professionally qualified engineers specializes in industrial and mechanical design, software development, and electronic design and manufacture. We take pride in delivering products that are both exceptional in quality and innovative, meeting the critical needs of our customers and company.
As a Senior Data Scientist at XYZ Reality, you’ll have the opportunity to be a major part of our data function. We are seeking a highly skilled and motivated Data Scientist with a passion for augmented reality to contribute to the development of advanced analytics and machine learning models for our AR solution. The successful candidate will help drive the data science efforts, working closely with the engineering and product teams to deliver cutting-edge AR experiences.
If you’re a talented, passionate, and experienced Data Scientist, or you want to take the next step in your career, we encourage you to apply to join the XYZ Reality team!
Key Responsibilities
o Development of machine learning models, AI algorithms, and advanced analytics to enhance our AR experiences.
o Implement solutions to ensure seamless data ingestion, transformation, and integration from various sources.
o Optimize and fine-tune machine learning models to improve accuracy, performance, and user experience.
o Work closely with product managers, engineers, and designers to integrate data science capabilities into the AR product, ensuring a seamless and engaging user experience.
o Collaborate with the data engineering team to streamline data pipelines and ensure efficient data processing and model training.
Skills, Knowledge & Expertise

• Degree in Data Science, Computer Science, Statistics, or related field.

• Knowledge in machine learning, deep learning, and statistical modeling.
• Experience with cloud platforms (and associated machine learning services.
• and expertise in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Excellent problem-solving abilities and a strong analytical mindset.
• Outstanding communication skills and the ability to collaborate effectively within cross-functional teams.

Job Benefits
Playing a valuable part in revolutionising the industry
Competitive Salary
25 days paid holidays plus bank holidays
Flexible working policies
Private Healthcare
Stock Options

Please refer the Job description for details