structured and unstructured data sets. Responsibilities: Model complex business problems, discovering insights intelligent automation and predictive modelling. Build machine learning models from and utilises distributed Kafka. Provide input into Data management and modelling infrastructure requirements and adhere to the Ensure business integration through integrating model outputs into end-point production systems, are understood Measure proficiency in using the diagramming and modelling techniques vital for requirements analyses. Qualifications
relevant to business objectives. Develop predictive models and machine learning algorithms to forecast customer teams to analyse large datasets, develop predictive models. Qualifications and Experience: Bachelor's or Master's data analysis, machine learning, and predictive modelling. Proficiency in programming languages such as
both predictive and prescriptive machine learning models that will assist with increasing strategic and and recommendations based on data analysis and modeling concluded and where relevant with knowledge and
Experience with cloud technologies (Microsoft Azure is a plus): Experience in implementing Continuous Integration
the banking, financial, or consulting sector is a plus. If you have a passion for technology, a drive to
validation and verification Techniques. Develop models to transform data from source to target for analytical
also enjoy the flexibility of a hybrid working model and cool company soft perks (such as free lunch)
full-time, permanent position offering a hybrid working model that balances remote work flexibility with in-office