At a Glance
- Tasks: Lead the development of forecasting models to enhance customer service performance.
- Company: Join BSH UK & Ireland, a leader in innovative data solutions.
- Benefits: Enjoy a bonus scheme, enhanced holidays, and training opportunities.
- Other info: Great entry-level role with fantastic career growth potential.
- Why this job: Make a real impact with AI/ML while solving exciting business challenges.
- Qualifications: Proficient in Python, R, SQL, and machine learning deployment tools.
The predicted salary is between 28800 - 48000 £ per year.
Join to apply for the Data Scientist / Machine Learning Engineer role at BSH UK & Ireland.
OverviewData Scientist / Machine Learning Engineer position to lead the development of forecasting models that elevate customer service performance. Proactive and innovative approach required to solve real-world problems with data science and ML.
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.
- 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.
- 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
- Full-time
- Entry level
Data Scientist / Machine Learning Engineer in Milton Keynes employer: BSH UK & Ireland
BSH UK & Ireland is an exceptional employer for Data Scientists and Machine Learning Engineers, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to employee growth through training and development opportunities, as well as a comprehensive benefits package including a bonus scheme and enhanced holiday entitlement, BSH ensures that its team members are well-supported both personally and professionally. Located in a vibrant area, the company encourages a proactive approach to solving real-world problems, making it an ideal place for those looking to make a meaningful impact in the field of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist / Machine Learning Engineer in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to forecasting models and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science and ML questions. Practice explaining your thought process clearly, as being able to communicate complex ideas is key in this field.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it shows you're genuinely interested in joining our team at BSH UK & Ireland.
We think you need these skills to ace Data Scientist / Machine Learning Engineer in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist / Machine Learning Engineer role. Highlight your experience with Python, R, SQL, and any relevant projects that showcase your skills in building and deploying ML models.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your proactive approach can help us tackle real-world problems. Don’t forget to mention your commitment to continuous learning!
Showcase Your Problem-Solving Skills:In your application, be sure to include examples of how you've identified problems and improved models using data-driven insights. We love seeing candidates who can think critically and adapt to changing business needs.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at BSH UK & Ireland
✨Know Your Models
Make sure you’re well-versed in the forecasting models and machine learning algorithms mentioned in the job description. Be ready to discuss how you've used Python, R, or SQL to build and deploy models in your past experiences.
✨Showcase Your Problem-Solving Skills
Prepare examples of real-world problems you've solved using data science and ML. Highlight your proactive approach and innovative solutions, as this role requires a knack for addressing business challenges with AI/ML.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to convey insights from your models to both technical and non-technical stakeholders, so being able to articulate your ideas clearly is crucial.
✨Stay Updated on Trends
Demonstrate your commitment to continuous learning by discussing recent trends in data science and machine learning. Mention any relevant courses or projects that showcase your dedication to staying ahead in the field.
