Offers “KPMG SA”

23 days agoKpmg

Deal Advisory - Data Science

  • Internship

Job description

The 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. We are looking for Assistant Managers, Managers and Associate Directors to join this team - 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%