Data Scientist / Machine Learning Engineer
The Vacancy
Tomorrow is our home
Start at BSH Home Appliances Group if you believe in delivering quality: As a leading manufacturer of home appliances and solutions, we can rely on people in our production sites who do their best. With our global brands Bosch, Siemens, Gaggenau and Neff as well as our local brands, we fully trust in their excellent work. In return, they know we will give them the chance to extend their skills and grow. Join us now and give your career a home.
Permanent/Full Time/Hybrid Working
Your Responibilites:
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.
- 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.
Your Profile:
- 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
The Company
The Company has experienced unprecedented growth over the past few years. We have a vast number of employees, and provide support to clients from all over the country.
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