Spectrum IT Recruitment

London, South East England

£70,000 per annum

Permanent

Full time

Looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working 2 days pw in the London office.

Skills and experience required:

• Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or similar • Experience delivering predictive analytics or machine learning solutions • Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) • Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) • Ability to clearly communicate insights to non-technical stakeholders • Strong analytical thinking, collaboration skills, and a results-driven mindset •

Role responsibilities:

• Build, tune, and maintain predictive and ML models using AWS SageMaker • Analyse large datasets and perform feature engineering to improve model performance • Run experiments, test hypotheses, and optimise models for accuracy and value • Monitor model performance and manage retraining over time • Collaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reports • Partner with academic, operational, and IT stakeholders to translate insights into action • Document models and support knowledge sharing and scalability • Contribute to the expansion of predictive analytics into advanced ML/AI use cases

Spectrum IT Recruitment

London, South East England

£70,000 per annum

Permanent

Full time

Looking for an experienced Data Scientist to design, build, and optimise machine learning models and advanced analytics solutions that support institutional priorities across a large, complex network. The role blends hands-on data science with strategic impact, using AWS technologies to deliver predictive insights that drive proactive interventions and data-driven decision-making. This is a hybrid role with the expectation of working 2 days pw in the London office.

Skills and experience required:

• Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or similar • Experience delivering predictive analytics or machine learning solutions • Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) • Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) • Ability to clearly communicate insights to non-technical stakeholders • Strong analytical thinking, collaboration skills, and a results-driven mindset •

Role responsibilities:

• Build, tune, and maintain predictive and ML models using AWS SageMaker • Analyse large datasets and perform feature engineering to improve model performance • Run experiments, test hypotheses, and optimise models for accuracy and value • Monitor model performance and manage retraining over time • Collaborate with Data Engineers, BI Developers, and Analysts to integrate outputs into dashboards and reports • Partner with academic, operational, and IT stakeholders to translate insights into action • Document models and support knowledge sharing and scalability • Contribute to the expansion of predictive analytics into advanced ML/AI use cases