Full-Time Data Scientist
Job Description
Base location is flexible across KPMG’s main regional offices: Birmingham, Manchester, and Leeds
This Data Scientist role is based in the Data & Analytics team, with a focus on developing solutions to solve problems for privately owned companies (KPMG Private Enterprise).
The team is at an exciting stage in its growth, with significant investment in developing cutting edge analytical products alongside our consulting offering in the data, analytics, and visualisation space. These capitalise on KPMG’s partnership such as with Microsoft, and Google.
This role will support this growth, by playing an active part in these projects, and would suit a technically minded individual, with a knack for extracting meaningful insights from data.
Role Description:
– Implement machine learning tools and statistical techniques to provide answers to our clients’ problems
– Test multiple models in order to select the most relevant to the problem and project
– Generating and testing working hypotheses, preparing, and analysing historical data, identifying patterns from samples for reporting of trends and supporting predictive analytics
– Developing a flair for the exploratory and experimental side of the role, required to tease out interesting and previously unknown insights in vast pools of data.
– Leveraging data visualisation techniques and tools to effectively demonstrate patterns, outliers, and exceptional conditions in the data
– Keeping abreast of developments across the data and analytics landscape, with the desire to translate cutting-edge techniques and technologies into our project outputs, including cognitive processing, artificial intelligence, machine learning etc.
Leadership & Management:
– Coaching of a small number of junior team members, including setting project-related goals, and providing feedback and guidance on learning points
Stakeholder Interaction & challenges:
– Participating actively in and contributing to workshops and sessions with clients, across a range of sectors, e.g. retail, technology, and manufacturing
– Translate client requirements into technical designs
– Coordinating frequently with other project team members
Experience:
Essential
– Experience and knowledge of R or Python with core packages used for data science, such as ggplot2, tidyverse, scikit-learn, numPy, pandas, caret
– Experience in delivering machine learning models within a commercial setting
– Experience in data cleansing and manipulation and knowledge of at least one database language e.g. T-SQL
Desirable
– Experience with Microsoft Azure and ideally Azure Machine Learning
– A degree/masters or professional certification in Data Science, Mathematics, or Statistics
Expertise / Technical role requirements
– Understanding of basic and advanced analytical techniques, e.g. regression, clustering, ensemble methods, deep learning
– Exploratory data analysis for analytics and identifying patterns within data to generate business insight
– Data manipulation skills – manipulating and cleansing large data tables to create data sets ready for analysis and modelling
– A desire to understand business problems and to evaluate the results in a business context
Skills:
– Written and verbal communication skills, and the ability to explain technical analysis to a non-technical audience
– High degree of personal motivation, ability to self-manage whilst being professional and personable
– Experience of solving issues and dealing with the uncertainty that can arise in project situations, including having a tenacious problem solving and can-do attitude
KPMG
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