Senior Data Scientist

Senior Data Scientist Location: Hybrid (London) Salary: £70,000 - £85,000 (Per Annum) About 83DATA are partnered with a , who are focused on developing AI Solutions. They work across many industries including Insurance, banking, telecoms and more. They are looking for an experienced Senior Data Scientist to join their growing data science team. The Senior Data Scientist will be responsible for leveraging their advanced data analysis and machine learning skills to solve complex business problems and drive data-driven decision-making within the organisation and those of their clients. Key Responsibilities: Conduct independent (and collaborative) research and development of data science and machine learning models; develop cutting-edge data science and machine learning models that drive business value, leveraging internal and external data sources. Skilled in, and continue to improve upon you knowledge of decision science, communicating data, domain modelling, predictive modelling, advanced analytics, MLOps, Research and AI Ethics with the willingness to up skill others in these competencies. Collaborate with cross-functional teams: work closely with cross-functional teams to apply data science and machine learning models to business problems, ensuring that models are integrated into products and services. Communicate results and impact: communicate results and impact to stakeholders, including technical and non-technical audiences. Mentor junior data scientists: mentor junior data scientists, fostering a culture of continuous improvement and innovation. Requirements: Fluency in Python with experience with at least one cloud provider ( preferably Azure ) Qualified experience in a related field, including, but not limited to, Data Science, Learning & Computer Science. 5 years of experience in data science and machine learning, with a strong track record independent research and development a plus. Strong technical background, with expertise in a range of machine learning algorithms data science techniques. Strong experience in delivery across the lifecycle of machine learning products, adhering robust software engineering practices. Excellent communication, with the ability to communicate complex data science to technical and non-technical audiences. Strong collaboration skills, with the ability to work effectively with cross-functional teams. Desirable: Experience with GISc (raster & vector-based workflows), graph theory, time series modelling and XAI. Experience in retail, utilities (e.g. water or telco) or financial services industries