Job Description
We are seeking a highly skilled Senior Data Scientist to drive our next generation of AI and machine learning initiatives. Based in London, you will be at the forefront of our data strategy, transforming complex datasets into actionable business intelligence. You will work with a world-class team to build scalable models that power our core products.
Why Join Us?
- Competitive salary and equity package.
- Flexible hybrid working model.
- Access to cutting-edge tech stack and industry conferences.
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models and statistical algorithms.
- Perform exploratory data analysis (EDA) to identify trends and anomalies.
- Collaborate with product managers and engineers to integrate data solutions into production.
- Optimize data pipelines to ensure high availability and low latency.
- Communicate complex technical findings to non-technical stakeholders effectively.
Qualifications:
- Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of professional experience in data science or machine learning engineering.
- Expert proficiency in Python (PyTorch, Scikit-learn) or R.
- Strong SQL skills and experience with NoSQL databases (MongoDB, Cassandra).
- Experience with cloud platforms such as AWS, Azure, or GCP.
Responsibilities
- Design, develop, and deploy scalable machine learning models and statistical algorithms.
- Perform exploratory data analysis (EDA) to identify trends and anomalies.
- Collaborate with product managers and engineers to integrate data solutions into production.
- Optimize data pipelines to ensure high availability and low latency.
- Communicate complex technical findings to non-technical stakeholders effectively.
Qualifications
- Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of professional experience in data science or machine learning engineering.
- Expert proficiency in Python (PyTorch, Scikit-learn) or R.
- Strong SQL skills and experience with NoSQL databases (MongoDB, Cassandra).
- Experience with cloud platforms such as AWS, Azure, or GCP.