Do you have an obsession with data analytics, statistics or machine learning? Do you love finding exciting insights in deep and sophisticated datasets or optimise processes at scale using algorithms? Do you want to help bp tackle its most challenging problems?
About the roles
We are looking for graduates who like working at-pace and believe that data can help drive phenomenal decision making. You will be embedded with a dynamic data-focused team. We will help you along your way, but you possess a spark that drives you forward and are comfortable operating with a degree of autonomy.
You will work with business people, other data scientists, data engineers, software engineers and domain specialists to understand the challenges to us achieving our aspirations.
You will dig into data sets and use tools and techniques to cleanse, rationalise and infer meaning out of data.
As the data-centric culture takes root, you'll continue to partner with the users of the data to expose new insights and relate data to other areas.
To apply to this role you'll need a 2:1 degree, or equivalent, in computer science, mathematics, statistics or a STEM field with strong data modelling, data analysis or statistical components.
You’ll also need to be in your final year of study or have completed your degree.
As this is a technical role if you are successful in progressing to the on-demand video interview stage a short coding test will follow the interview. Your responses to the coding test will be reviewed alongside the other elements of the assessment process; the test is not pass or fail.
If you need to make any adjustments to any stage of the recruitment process, for example due to an illness, injury or a disability, please contact us on 0800 279 2088 or email firstname.lastname@example.org. If you are calling from overseas, please dial +44 1635 584149.
Diversity sits at the heart of our company and as an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. We do not discriminate based on race, religion, colour, national origin, gender identity, sexual orientation, age, marital status, veteran status or disability status.