Manchester, North West, United Kingdom Hybrid / WFH Options
Walsh Employment
Scientist with experience in monitoring and alerting infrastructure. This is a pivotal hands-on role with end-to-end ownership ideal for someone who enjoys blending engineering rigour with statistical thinking in a collaborative, fast-paced environment. Key Requirements We are looking for a proactive and technically strong Data Scientist who can develop and maintain monitoring systems across distributed … data pipelines and drive data quality initiatives across multiple teams and projects. Must-have skills and experience: Proficiency in Python and SQL for analytical modelling, data interrogation, and scripting Hands-on experience with PySpark and distributed data processing at scale Production deployment of statistical or machine learning models Cloud infrastructure experience , preferably with AWS Methodical problem-solving mindset … Your responsibilities will include: Designing and implementing monitoring and alerting systems across data platforms Collaborating with stakeholders to define relevant metrics, thresholds, and KPIs Building and maintaining production-level statistical and ML models using Python and PySpark Deploying solutions within AWS cloud infrastructure Developing scalable frameworks to support future monitoring needs across departments Investigating and resolving data anomalies and More ❯
Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯
Quantitative Analyst required by a sports trading company based in central London. The company have been established for more than 10 years, successfully developing statistical models and analytical frameworks. The successful Quantitative Analyst will work within the prediction team, using extensive datasets to enhance existing predictive models as well as researching new methods. The role will be working alongside … a team of Quants, Developers, and Analysts. Due to the nature of the business this is mainly an office-based role. Experience required: 3+ years' experience within predictive modelling, machine learning, and probability theory. Ideally this would be within sports or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects More ❯
