
Senior Data Scientist
- Manchester
- Permanent
- Full-time
- Build and deploy scalable data science solutions using Databricks, Apache Spark, and the broader Apache ecosystem.
- Apply statistical analysis and machine learning to generate actionable insights from complex datasets.
- Design and run experiments (e.g., A/B testing) to support evidence-based decision making.
- Collaborate with Data Engineers to develop clean, validated data pipelines for analytics and modelling.
- Work with Product Owners, Designers, and Engineers to embed intelligent decision-making into our platform.
- Use Apache Pulsar to stream real-time data and enable low-latency decision systems.
- Clearly communicate results, assumptions, and model limitations to technical and non-technical audiences.
- Maintain a strong focus on reproducibility, testing, documentation, and continuous improvement.
- Degree in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field.
- Proficiency in Python for data science and machine learning (e.g., pandas, scikit-learn, PySpark).
- Strong grasp of SQL, data wrangling, and statistical modelling techniques.
- Experience building and deploying models on platforms such as Databricks.
- Familiarity with Apache Spark and distributed computing.
- Understanding of REST APIs, microservice architecture, and model deployment practices.
- Comfort working with CI/CD pipelines, version control (Git/GitHub), and unit testing for data pipelines.
- Experience with Apache Pulsar or other message queues (Kafka, RabbitMQ, etc).
- Familiarity with MLOps workflows and tools.
- Understanding of cloud infrastructure, particularly AWS or GCP.
- Exposure to monitoring tools (Grafana, Prometheus) and model performance tracking (MLflow).
- Experience applying your skills in a SaaS or enterprise software context.
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication.