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Senior Data Scientist

Date: Nov 29, 2018

Location: London, United Kingdom

Company: KPMG UK

AutoReq ID138236BR
Job TitleSenior Data Scientist
CountryUnited Kingdom
LocationLondon
FunctionSolutions & Digital
Service LineLighthouse
Service Line Information

KPMG OverviewKPMG is part of a global network of firms that offers Audit, Tax & Pensions, Consulting, Deal Advisory and Technology services. Through the talent of over 16,000 colleagues, we bring our creativity and insight to our clients’ most critical challenges.

With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in.

Job Description
The Team


Many of our clients are on a ‘digital transformation journey’ to increase profits whilst reducing reputational, operational, financial and other risks. Typical projects require extracting a variety of data at large scale, drawing deep insights using complex analytical algorithms, and visualising the results to articulate compelling and engaging stories that, in the end, deliver increased value from that data. Our UK team works closely together with data science and engineering teams around the world, supported by our global ‘Ignite platform’, in order to maximise our collective success

The Role


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Our Data Scientists support the whole firm on a wide variety of projects, across our Audit, Tax and Advisory business. We are experienced in managing diverse issues including business disruption, process optimisation, resource optimisation, fraud, regulatory compliance, dispute resolution, deriving value from contracts and much more

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Client related work

: A Senior Data Scientist would typically work works collaboratively with our business teams and our clients to show the art of the possible and to assess possible value and feasibility of applying data science in order to help solve specific business problems. This could include demoing to prospective clients, developing data strategies, leading feasibility studies, explorative data analysis, delivering minimal viable products or fully fledged projects including putting our models into production either on our own or our client’s environments.

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Asset development

: Build data science assets (aka ‘accelerators’), in line with our UK and/or global strategy, to ensure we have the platforms and core assets in place to meet market demand. This could also include supporting our continuous improvement process around our own design and development processes e.g. about how we ensure the high quality that our clients require in an efficient manner.

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People

: As a fast growing highly specialised team, you will be
involved in the running and growing of our team, e.g. through involvement in hiring and coaching colleagues, helping with knowledge management, organising team meetings or other events.

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Manage a team of Data Scientists on specific engagements, focused on the development, training and monitoring of data science solutions that accelerate our clients’ digital journeys.

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Work collaboratively with our business teams and our clients to develop solutions that solve business problems

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Support client engagements focused on large data sets and applying advanced analytical techniques, in diverse domains such as retail price optimisation, channel management, marketing strategies, customer intelligence, financial crime, risk management, healthcare digitisation, smart grids, etc.

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Develop new, or tailor existing, analytical solutions designed for processing large data sets (e.g. using an Hadoop framework) and by applying advanced analytical techniques (e.g. machine learning, neural networks, NLP, A/B testing, etc.)

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Liaise with our advanced Data Engineers in terms of data engineering, model deployment and architecture activities to jointly build solutions that will interoperate seamlessly with other elements of the broader information architecture

The Person


Proven experience applying advanced analytical techniques to large and varied data sets, generated and flowing at a rapid rate. Sample techniques include, but are not limited to:

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Applied machine learning

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Natural language processing

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Collaborative filtering and recommender systems

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Neural networks (including recurrent, convolutional)

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Event detection and tracking

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Graph Analytics

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Experience Generating and testing working hypotheses, prepare and analyse historical data, identify patterns from samples for reporting of trends and support Predictive Analytics

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Experience with Leveraging data visualisation techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data

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Creating performance metrics and tracking processes to measure the effectiveness of Data Science solutions

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Conceptualising necessary data governance models to support the technical solution and assure the veracity of the data

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Operating within the exploratory and experimental aspects of Data Science, e.g. to tease out interesting and previously unknown insights from vast pools of data

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Proficient with programming languages used by data scientists and in Big Data platforms, like Python, R, Scala, Julia, Java.

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Qualified with Ph.D. in Computer Science, Statistics, Engineering or similar technical field

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Experience with one or more of the following:
Proficient with programming languages used by data scientists like Python, R, Scala, Julia, Java, C++

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Proven experience in data engineering technologies like Hadoop, HDFS, Spark, Elasticsearch

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SQL and NoSQL databases



Our DealIf the chance to work with interesting clients and innovative technology wasn’t rewarding enough, we’ll motivate you in other ways too. At KPMG you can expect real responsibilities and opportunities to grow professionally.


‘Our Deal’ sets out all the different ways you’ll be rewarded at KPMG. Among other things you can benefit from honest conversations about your career as well as a range of other rewards. In all these ways and more, we have created an environment that can bring out the best in you.

Flexible WorkingWhile some of our client-facing professionals can be required to travel regularly, and at times be based at client sites, we are supportive where possible of helping you to achieve a balance between your home and work demands.

We are happy to discuss individual requirements and our range of flexible working arrangements could be of interest. Furthermore, as part of the recruitment process, we can put you in touch with people who work flexibly so you can understand from them what our culture is like.

Applying with a DisabilityKPMG are proud to be an inclusive, equal opportunity employer and we seek to attract and retain the best people from the widest possible talent pool. As a member of the Business Disability Forum we're committed to ensuring that you are treated fairly throughout our Recruitment Process. Should you be successful after the initial application stage, please discuss any reasonable adjustments that you may require, with your recruitment contact.

KPMG's commitment to diversity

We are proud of the value we place on individuality; we want you to bring your full self to work and truly maximise your potential. We believe that your individuality helps us to deliver the best results for our clients. Diversity of background, diversity of experience, diversity of perspective - that's the KPMG difference. But, don't take our word for it, find out more about diversity at KPMG.



Returning to work after a break
At KPMG, we appreciate that returning to work after an extended career break can be daunting. We understand that those with experience who have taken a career break have a wealth of experience and knowledge to offer our organisation, which helps us to achieve our business goals. We will support you to refresh your skills, develop your confidence and provide a supportive network across the firm to help you best integrate into the working environment. This role welcomes applications for individuals who have been out of work for 18 months or more and who have previous relevant experience.

Policy for Agencies

KPMG has a commitment to sourcing candidates directly and as such we do not accept speculative CV’s from agencies. Please check here to see our policy on agencies: Policy


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