Overview
Are you passionate about using data science and machine learning to solve real-world problems that directly impact customer satisfaction? We're looking for a proactive and innovative Data Scientist/Machine Learning Engineer to join our team and lead the development of next-generation forecasting models that elevate customer service performance.
Responsibilities
* Maintain and improve forecasting models by monitoring performance, addressing model drift, and adapting to changing business needs.
* Design and deploy predictive models to support decision-making, optimize resources, and improve service. Collaborate with stakeholders to ensure alignment with business goals.
* Identify and implement AI/ML solutions to address business challenges. Develop proofs of concept and propose innovative applications based on industry trends.
* Support the design and maintenance of ETL pipelines to ensure reliable, high-performance data for forecasting and machine learning. Work with data engineers to optimize workflows.
* Create and maintain reports and dashboards to communicate insights from forecasting and ML models, enabling data-driven decisions.
Qualifications
* Proficient in Python, R, SQL, and deployment tools like Docker and SageMaker.
* Skilled at identifying problems and improving models using data-driven insights.
* Experienced in building and deploying machine learning models using standard algorithms.
* Able to communicate complex ideas clearly to both technical and non-technical audiences.
* Committed to continuous learning and applying the latest in data science and ML.
Benefits
* Bonus Scheme.
* Life Assurance.
* Enhanced Holiday Entitlement.
* Contributory Pension Scheme.
* Salary Sacrifice EV scheme.
* Employee Discount and Access to BSH Reward website.
* Training and Development Opportunities
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