The Team
Our highly specialised Data Science and Engineering team in our KPMG ‘Lighthouse’ uses advanced analytical techniques and industrial scale technology platforms to help our clients address complex business challenges. 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, specifically for this role with colleagues in the US, supporting the global Deal Advisory strategy as well as KPMG Deal Advisory (Corporate Finance, Transaction Services and Value Creation) teams.
The Job Description
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At KPMG, our values define who we are and the way we do business. As a leading professional services firm, we know that our strength and capability come from our people – their different perspectives, experiences and backgrounds. From our inclusive leadership strategy to our diversity and inclusion targets – we’re making bold changes to who we are and what we do. Be part of it.
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A Data Scientist would typically work under the guidance of a Senior Data Scientist and work 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 problemsAsset development
: Build data science assets in line with the Dal Advisory 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.
Roles & Responsibilities
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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, , etc.
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Monitor performance to ensure models perform as effectively as possible.
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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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Balance statistical rigor and thoroughness with cost and speed based on the client's budget and time frame
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Prioritize and effectively manage several deal deliverables across multiple deals and workstreams
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Help maintain and win new business by working with Partners on client and target pitches and business development case books
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Act as Performance Manager and mentor to junior colleagues
The Person
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Well versed at 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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Event detection and tracking
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Graph Analytics
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Experience with:
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Generating and test working hypotheses, prepare and analyse historical data, identify patterns from samples for reporting of trends and support Predictive Analytics
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Leveraging data visualisation techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in 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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Working collaboratively with other members of the Data Science and Information Architecture teams to innovate and create compelling data-centric stories and experiences
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Experience managing multiple projects and teams at the same time
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Ability to make well-reasoned, data-driven decisions in ambiguous or interpretive business situations
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Excellent written and verbal communication skills with the ability to thoroughly yet concisely explain:
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Technical concepts and analytics-driven findings
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Business processes, concepts, challenges, and issues to non-technical resources
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Desire to work in fast-paced, team-oriented, loosely-structured environment
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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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Track record in staying conversant in new analytic technologies, architectures and languages – where necessary – for storing, processing and manipulating this type of data
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Demonstrated Data Science consultancy skills, e.g. running hypotheses workshops, mentoring more junior team members, preparing reports and presenting data science results.
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Skilled in communicating with a variety of stakeholders in the organization
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Planning and organisation skills so as to work with a high performance team, handle demanding clients and multitask effectively
Qualifications
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5+ years of experience in data, data science, data engineering and/or other technology related capabilities
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Masters or Ph.D. in Computer Science, Statistics, Engineering or similar technical field
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Proficient with programming languages used by data scientists like Python, R, Scala, Julia, Java, C++