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Diamond

Tesco Technology

http://tesco.com/techjobs

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.

BP

https://www.bp.com/en/global/bp-careers/professionals/career-areas/technology.html

Keep advancing
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.

Platinum

Cambridge Spark

https://cambridgespark.com

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.

GoDataDriven

https://godatadriven.com

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

https://www.imc.com

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.

Deliveroo

https://deliveroo.co.uk/

When you first think about Deliveroo, you probably think of getting great food to your house in less than half an hour. Awesome right? But behind the scenes is the real story. This story is one of high growth, huge challenges and an enormous opportunity ahead of us. It began with our founder Will, arriving in London over 5 years ago and finding it almost impossible to order great food, despite the wealth of incredible restaurants in the city. Fast forward 5 years and we operate in 14 countries with over 50,000 riders who deliver orders from 50,000 restaurants in over 200 cities worldwide.

We want to be the definitive food company - the app you go to any time you have a hunger pang. We are transforming the way people think about food. We are providing people with limitless access to different cuisines and restaurants, turning cooking from a chore to a choice, and giving people the freedom to eat what they want, when they want, where they want it.

We work with riders, restaurants and consumers. We operate one of the most complex three sided marketplaces in the world and we do this in real time. Millions of customers and thousands of restaurants and riders rely on us to match them within milliseconds. The algorithms behind that marketplace are the secret sauce that allow us to deliver our orders in under 30 minutes.

JP Morgan Chase

https://jobs.jpmorganchase.com/

J.P. Morgan has operated in Europe for nearly 200 years and has a sophisticated local market presence across Europe, the Middle East and Africa (EMEA). Within the region, J.P. Morgan has an unparalleled client base and leadership across the spectrum of financial services products. The regional head office in London is complemented by a strong regional footprint, with offices in all major financial centers.

Globally, through the JPMorgan Chase Foundation, we make philanthropic investments in cities where we have major operations, assisting those at a disadvantage by helping them build better lives for themselves, their families and their communities. Across EMEA, the firm focuses its investment and attention on three pillars: Economic Development, Financial Empowerment and Workforce Readiness.

J.P. Morgan is a global leader in financial services, offering solutions to the world's most important corporations, governments and institutions in more than 100 countries. The Firm and its Foundation give approximately US$200 million annually to nonprofit organizations around the world. We also lead volunteer service activities for employees in local communities by utilizing our many resources, including those that stem from access to capital, economies of scale, global reach and expertise.

Man Group

https://www.man.com/careers

Man Group is a technology-empowered, global active investment management firm, which runs $112.3bn (as at March 2019) of client capital in liquid and private markets, managed by investment specialists based around the world. Headquartered in London, the firm has 15 international offices and operates across multiple jurisdictions. Our business has five specialist investment engines, which represent the range of our capabilities: Man AHL, Man Numeric, Man GLG, Man FRM and Man GPM.

Technology is at the heart of everything we do. State-of-the-art quantitative trading strategies necessitate state-of the-art technology at all stages – from market data acquisition and initial research through to model implementations and trade execution. Discretionary trading experts need personalised data and analytics at their fingertips through intuitive, responsive UIs. We are committed to being a leader in this area, and are continually investing in talent, technology and research as we strive to be at the forefront of the industry.

Our front office teams are active users of Python and its full scientific stack including NumPy, SciPy, Pandas and Scikit-learn. We are also committed to promoting a flourishing Python ecosystem and growing the community around open-source projects. Man Group sponsors the monthly PyData and Machine Learning meetups in London, and our developers contribute to a number of significant open-source projects. We have also open-sourced our time-series storage engine, Arctic, as well as our data visualisation and automated reporting package, PyBloqs, as well as numerous other tools available on our GitHub: www.github.com/manahl/

We are hiring! Find out more at www.man.com/careers or follow us on Twitter at www.twitter.com/ManQuantTech

Gold

QuantumBlack

https://www.quantumblack.com/careers

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 European Operations

http://www.QBEeurope.com

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

https://www.techatbloomberg.com/

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

https://www.pivigo.com

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 Limited

https://www.duedil.com

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.

Kindred Group

https://careers.kindredgroup.com

Kindred Group is one of the world’s largest online gambling operators with 11 brands. Kindred is an international company with four main hubs in London, Stockholm, Malta and Gibraltar and a physical presence in Sydney, Paris, Denmark, Italy and Madrid. We have over 1,500 permanent employees of 54 different nationalities across the globe, including 39 different nationalities in London alone. We have just been voted the 30th best place to work in the UK by the Great Place to Work audit 2019. We promote a work/life balance and flexible working arrangements.

We are a company that is committed to making data driven decisions. The breadth and depth of data we work with along with a commitment to provide the latest in technology to process and analyse this data gives our data and analytics groups the means to help realise this commitment. This, along with the range of problems we tackle, gives our data scientist and other groups in Kindred’s data and analytics organisation the opportunity to make tangible impacts on the business.

Silver

Pluralsight

http://www.pluralsight.com

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.

Supporting

JetBrains

http://www.jetbrains.com

JetBrains delivers intelligent software solutions that make developers more productive by simplifying their challenging tasks, automating the routine, and helping them adopt the best development practices. PyCharm is an intelligent Python IDE that delivers a smooth experience both for data scientists and software developers. PyCharm Professional Edition combines great Jupyter Notebooks support with a world-class database tool and high-quality git integration.

Aire

https://aire.io/

Aire’s credit insight engine makes credit fairer for consumers, and more valuable to lenders. We believe that context improves credit decisions. So when a customer isn’t catered for by a traditional credit bureau, we offer a second chance - inviting customers to tell us about themselves.

PythonAnywhere

https://www.pythonanywhere.com

PythonAnywhere is an online platform that allows users to write, store and run python code directly from their browser. PythonAnywhere offers Jupyter Notebooks and other features for paying users.

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