We solve real-world problems for hundreds of thousands of colleagues and millions of customers worldwide, whether they choose to shop with us in store or online. The work we do is critical to the business, and we’re looking to broaden our teams to help us to iterate, innovate and deliver more quickly.
At BP, we are meeting the dual challenge of increased energy demand and reduced carbon emissions, with digital at the heart of it all.
The energy industry is changing faster than at any point in BP’s history. In the future, the way we deliver society’s heat, light and mobility will be dramatically different.
Our ambition is to become the digital leader in our sector so that we can be more efficient, more resilient and better equipped to deliver solutions the whole world will depend on. We’ll only succeed if we can attract the brightest digital talent to join us on this mission.
What we’re doing
Digital is changing the way energy is discovered, created and consumed.
By connecting people and data with physical and digital assets we’re advancing the possibilities of digital in the energy industry. We are creating a world-class digital infrastructure of information technology and services, built on a culture of constant discovery as our people work with some of the most advanced systems in the world.
This includes matching machine intelligence with business decisions in our downstream business, developing apps that enable our customers to pay for their fuel without leaving their car, using drones to safely inspect remote pipelines and platforms, and exploring the opportunities of big data, cloud, blockchain and more.
Cambridge Spark is a leader in personalised Data Science training. We offer intensive bootcamps, graduate schemes, apprenticeships and team training solutions which are delivered by industry and academic experts, complemented by our proprietary AI-powered data science talent attraction, assessment and development platform, K.A.T.E.®.
Our team consists of field specialists and come from a range of backgrounds, including PhDs and Researchers in Machine Learning from Cambridge University, Oxford University, and UCL - as well as Developers with industry experience from leading companies including Google, Microsoft Research, Amazon, Morgan Stanley and Oracle.
Established in 2009, GoDataDriven is on the forefront of Big Data innovation. The team consists of a unique combination of experienced Data Scientists, excellent Data Engineers, all with state-of-the-art know-how of technology. Team members of GoDataDriven are characterised by a natural curiosity, pragmatic approach, learning capacity and well-developed communication skills.
Whether it is search optimization for an e-retailer, predictive maintenance for a public transportation company, fraud detection for a bank or supply chain management for a production company; GoDataDriven’s Big Data solutions add to the bottom-line of any business.
We enjoy working closely with our clients of GoDataDriven include Wehkamp, Bol.com, KLM, ING, Rabobank, Bakkersland and NPO.
GoDataDriven is proudly part of Xebia Group.
IMC is among the world’s leading technology-driven trading firms and a market maker in securities listed on exchanges across the globe. Our cutting-edge technology drives everything we do. High-performance algorithms, smart strategies and collaborative teams are the core of our business.
Today, IMC is 600+ people working together to build software and trade financial products in our offices in Amsterdam, Chicago and Sydney. What does this mean for you? The chance to join a multi-national, multi-cultural team of exceptional individuals, focused on making IMC the world’s best trading firm.
QuantumBlack is an advanced analytics firm operating at the intersection of strategy, technology and design to improve performance outcomes for companies.
QuantumBlack was born and proven in Formula 1 – where teams live and breathe data. Today, we are still fascinated by how a marginal gain can have a significant impact on the performance of any organisation.
QBE Insurance Group is one of the world's leading international insurers and reinsurers, headquartered in Sydney, Australia. We operate in 37 countries with a presence in all key insurance markets, and are lead underwriters within our chosen markets, setting rates and conditions.
In Europe, QBE offers an extensive range of business insurance products from the standard suite of property, liability and motor to the specialist financial lines, marine, energy and political risk. QBE works in partnership with insurance intermediaries to deliver tailored cover to businesses from sole traders, via its online trading platform, to SMEs, large corporates and global multinationals.
We are active and heavy users of Python and the PyData stack, which we use in concert with a broad set of machine learning tools and techniques such as catastrophe simulation, natural language processing, and data visualisation. The use of data is fundamental to improve our decision making for pricing, risk selection, fraud, claims, customer acquisition and other problems.
We are on a journey to be the most progressive user of data science within commercial insurance.
Bloomberg is building the world's most trusted information network for financial professionals. Our 5,000+ engineers are dedicated to advancing and building new systems for the Bloomberg Terminal to solve complex, real-world problems. We trust our teams to choose the right technologies for the job, and, at Bloomberg, the answer is often Python. We employ an active community of more than 2,000 Python developers who have their hands in everything from financial analytics and data science to contribute to open source technologies like Project Jupyter. We also sponsor and host many events for the Python community
Pivigo is a data science marketplace, democratising access to data innovation to all organisations, by connecting them with our global community of freelance data scientists. The Pivigo networking platform allows for profile sharing, networking, and learning data skills. Pivigo also run Europe’s largest data science training programme S2DS (Science to Data Science).
DueDil is a predictive company intelligence platform building the world's most complete source of information on companies and the people behind them. We use proprietary matching technology to link billions of company data points from authoritative sources, providing unique insight through its Business Information Graph. Our powerful API and web platform provide our clients with the data and tools to target, assess and on-board SME's at scale.
In the last three years, DueDil has grown 80%+ year-on-year. We have also expanded our client base to more than 400 clients across the Financial Services, FinTech, and Technology sectors, including notable brands such as Santander, TransferWise and Growth Street.
Pluralsight is the technology learning platform for organizations that need to enhance the expertise of their technologists to keep up with the pace of technological change and deliver key innovations on time, on budget and securely. With Pluralsight, you can evaluate the technical abilities of your teams, align learning to key business objectives, and close skills gaps in critical areas like cloud, mobile, security, design and data. With the largest network of expert technologists in the world, over 6,000 courses and the ability to quantify impact and performance, Pluralsight is helping enterprise technology leaders succeed in the digital age.