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L6 Data Science Degree Apprenticeship
2 weeks ago
West Sussex
- Posted 35 mins ago
**Edwards Ltd**
**Level 6 BSc Data Scientist - BPP**:
**Company: Edwards Ltd**
**Full Address: Innovation Drive Burgess Hill, West Sussex, RH15 9TW**
**Weekly Hours Worked: 37.5**
- Competitive salary and bonus of 7.5%.
- Pension with a company contribution of up to 8%.
- Life Assurance of 4 x basic salary.
- 25 days holiday.
- Hybrid working environment.
- Experience with working with a diverse global team, with potential opportunities for global career progression.
- A learning culture which will support you on your journey.
- A culture known for respectful interaction, ethical behavior, and integrity.
- New challenges and new things to learn every day.
**About the company**:
At Edwards, we create some of the purest vacuum environments on earth for widescale use in industry and research. We take pride in our globally recognised position as the leading technology partner and supplier of vacuum and environmental solutions that support our customers productivity and environmental targets. Our caring culture and cutting-edge technology enable us to innovate for a sustainable future, and we believe that passionate people make it happen.
Edwards is part of the Atlas Copco Group, a Sweden-based provider of industrial productivity solutions.
**Brief job description**:
BPP have an exciting new opportunity for a Data Science Degree Apprenticeship with Edwards, a global leader of vacuum and abatement technology based in [either our Burgess Hill or Clevedon sites.
Edwards Vacuum are looking for the next generation of Data Scientists to help build our data capability and support our transition to a data driven organisation. This fully funded degree apprenticeship lets you earn while you learn on the job whilst studying for a BSc (Hons).
The Data Science Apprentice role will be part of the divisional engineering team and will have responsibility for different Data & Analytics tasks and short-term project assignments.
**Your duties and responsibilities in this role will consist of**:
- Identifying and reviewing the existing data sources used to create our reports and dashboards.
- Establishing how to best integrate data sources into a connected data catalogue.
- Creating new data sources.
- Creating reports and dashboards to help tell a story and drive data led decisions.
- Supporting the delivery of consistent & meaningful data insights.
- Supporting the delivery of data projects.
**Qualifications**:
104 UCAS points and GCSE mathematics and English (grade C or above). Sponsoring employers may set their own entry criteria which are equivalent to or higher than the University entry criteria.
- OR_
- OR_
Completion of a Level 3 apprenticeship/professional qualification in a relevant discipline or existing bachelor’s degree.
**Skills Required**:
- A strong interest in data and analytics, eager to learn and develop your skills.
**Desirable skills**:
- Experience collecting and collating data.
- Experience with Power BI or other analytical tools
- Experience with SharePoint, Teams, and similar collaboration tools.
**Personal qualities**:
- Communication.
- Organisation.
- Teamwork.
- Adaptability and flexibility.
- Problem solving.
**Future prospects**:
The role offers long term security as it is a permanent position.
**Training to be provided**:
BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.
Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.
Successful completion of this apprenticeship gives you an accredited Level 6 Data Scientist, with training in how to:
- Understand the principles of data science and the practical skills that allow you to build data solutions that deliver value to the organisation.
- Expertly use low-code and no-code tools such as Excel and Power BI as well as essential programming languages such as Python, R and DAX
- Understand principles of data engineering
- Manage data projects from start to finish.
- Understand key topics such as data visualisation, unstructured data and text analytics, predictive modelling using machine learning and AI, SQL, big data and cloud infrastructure.
- Build and implement data science solutions such as AI-powered products.
