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Associate Director - Deal Analytics - Data Science

Date: Jul 12, 2019

Location: London, United Kingdom

Company: KPMG UK

AutoReq ID143940BR
Job TitleAssociate Director - Deal Analytics - Data Science
CountryUnited Kingdom
FunctionDeal Advisory
Service LineTransaction Services
Service Line InformationOur Transactions Services group is focused on continually enhancing value for clients across the deal and economic cycle. Our teams comprise of specialists capable of helping clients right through from conceptual thinking of buying a business to turning their business around in times of difficulty.

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 DescriptionThe team:

The Deal Analytics Team works with KPMG Deal Advisory (Corporate Finance, Transaction Services and Value Creation) teams to deliver value-add insights on the fundamentals of a Target business.
The role:

You will be joining a fast-growing team within Deal Advisory that is driving value for our clients using data-enabled solutions. So what’s that actually mean?
Our team works on a variety of engagements across industries, and the analytics required will vary by engagement.

Utilise a hypothesis-driven, problem-solving approach to explore data sets and design, construct, and rapidly test/iterate exploratory analyses to identify patterns that will reveal insight and opportunities for the client
Perform machine learning, natural language, and statistical analyses, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
Deploy, test, and observe your analyses to ensure they meet the user's unique demands
Automate analyses and author pipelines via SQL and python based ETL framework
Retrieve, prepare, and process data from a variety of sources such as social media, transaction databases, and operational data
Develop interactive dashboards and reports

Propose techniques to apply based on experience and familiarity with the data set, innovating new techniques when necessary
Generate repeatable data and analytic processes using tools such as R, Python, Alteryx, Tableau, and SQL Server
Work with cross-functional KPMG team members to develop and present findings
Balance statistical rigor and thoroughness with cost and speed based on the client's budget and time frame
Own or participate in every component of a client deliverable, from identifying client needs to producing the final presentation and reports
Prioritize and effectively manage several deal deliverables across multiple deals and workstreams
Effectively align managers and staff on your engagements with their interests and general business needs to provide real time feedback and guidance to client and diligence providers to help ensure timely and efficient product delivery
Help maintain and win new business by working with Partners on client and target pitches and business development case books
Act as Performance Manager and mentor to staff

Seven years of experience working as a data scientist, or equivalent


Master's Degree or PhD in Math, Statistics, Operations Research, Engineering, Computer Science or Economics

Strong knowledge/experience in one or more of the following areas: Statistics, Operations Research, Machine Learning, Forecasting, and/or Natural Language Processing

Experience working with Spark, Hive, Athena or other related technologies; Fluency in R, Python, or Julia


Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product; Ability to work in a Linux environment


Experience managing multiple projects and teams at the same time


Ability to make well-reasoned, data-driven decisions in ambiguous or interpretive business situations


Proven project management ability: planning, organizing, coordinating and managing staff, clients and/or partners towards the successful completion of a project


Excellent written and verbal communication skills with the ability to thoroughly yet concisely explain:


Technical concepts and analytics-driven findings


Business processes, concepts, challenges, and issues to non-technical resources


Desire to work in fast-paced, team-oriented, loosely-structured environment

Travel as necessary, 10% - 30%

Our Deal

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

KPMG consistently features in the Sunday Times Best Big Companies to work for, which has been recognised with a special achievement award to mark our 10 years in the Top 25. 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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