Digital Apprenticeship - Data science & machine learning

During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data analysts, product managers, data scientists, data engineers, software engineers, data managers and business partners.

You will be part of a team whose responsibilities include:

Building scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.

Carrying out data analyses to yield actionable business insights.

Adhering to and advocating for data science and best practices (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation).

Training:

The data analytics apprenticeship will lead to a Level 4 qualification, following an apprenticeship standard aligned with L4 data analyst such as: https://skillsengland.education.gov.uk/apprenticeships/st0118-v1-1. For which the provider is likely to be Corndel, however, may be subject to change. Level 4 Data Analyst Apprenticeship - Corndel

The formal learning will be a combination of online and in person. A minimum of 6 hours of your working time will be protected for formal learning.

Training Outcome:

There may be an opportunity to apply for a permanent role with bp.

Employer Description:
bp is a global company that offers a world of opportunities for professionals as well as those starting out in their career. We’re guided by our purpose and ambition to become a net zero company by 2050 or sooner, and help the world get there too. What does this mean for you? It means you can expect purposeful work, world-class training and the flexibility to realize your full potential. Not to mention the chance to join a company committed to delivering more sustainable energy for all. Ready to crack on? Your perfect job match awaits.

Working Hours :
Monday - Friday, shifts to be confirmed. Total hours per week: 36.25.

Skills:
Communication skills,Attention to detail,Customer care skills,Problem solving skills,Analytical skills,Team working