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Chris Pearce

Data Scientist @ Hastings Direct

Head of Data Science at Hastings Direct

London, England, United Kingdom

Ranked #713 out of 14,260 for Data Scientist in United States

Section title

Chris Pearce's Email Addresses & Phone Numbers

Chris Pearce's Work Experience

Hastings Direct

Data Scientist

May 2014 to Present

London, United Kingdom

Moneysupermarket.com

Data Scientist

March 2013 to May 2014

London, United Kingdom

Mercedes-Benz UK Ltd

Insight Analyst

January 2012 to March 2013

Milton Keynes, United Kingdom

Chris Pearce's Education

University of Liverpool

Doctor of Philosophy (PhD) Mathematical Statistics and Probability

2007 to 2011

University of Liverpool

Master of Science (MS) Mathematical Statistics and Probability Distinction

2004 to 2005

The University of Manchester

Bachelor of Science (BS) Mathematics

2001 to 2004

Chris Pearce's Professional Skills Radar Chart

Based on our findings, Chris Pearce is ...

Strong sense of self
Self-reliant
Quiet

What's on Chris Pearce's mind?

Based on our findings, Chris Pearce is ...

56% Left Brained
44% Right Brained

Chris Pearce's Estimated Salary Range

About Chris Pearce's Current Company

Hastings Direct

• Using an open and extensible platform for Big Data, combining data from a variety of sources and utilizing advanced data science to optimize pricing and continuously update strategy. • Make recommendations and enhancements to current pricing strategy to improve pricing and revenue insights on customer segments, brands, markets, and channels. • Provide pricing concepts, to include...

Frequently Asked Questions about Chris Pearce

What company does Chris Pearce work for?

Chris Pearce works for Hastings Direct


What is Chris Pearce's role at Hastings Direct?

Chris Pearce is Data Scientist


What is Chris Pearce's personal email address?

Chris Pearce's personal email address is ch****[email protected]


What is Chris Pearce's business email address?

Chris Pearce's business email addresses are not available


What is Chris Pearce's Phone Number?

Chris Pearce's phone +44 ** **** *204


What industry does Chris Pearce work in?

Chris Pearce works in the Insurance industry.


Who are Chris Pearce's colleagues?

Chris Pearce's colleagues are Richard Day, Benjamin Ruddle, Peter Kelly, Gareth Bright, Glen Christian, David-John Tulleken, Sammie Rawle, Paul Coulter, Daniel Montague, and Janet Irwin


About Chris Pearce

📖 Summary

Chris has an academic record (PhD level) of mathematical and statistical excellence which he has taken into industry to utilize across an applied range of business problems, acquiring deep technical and practical knowledge of data mining, machine learning and modelling/visualization techniques. Having spent several years as an analytics professional and Data Scientist across multiple industries Chris has an exceptional ability to extract strategic insights from massive data sets and can translate pattern recognition and data exploration into actionable opportunities encompassing multiple product lines. He is a highly intelligent, resourceful, self-confident, entrepreneurially focused creative problem-solver, able to identify problems, cultivate solutions and move business forward by constantly looking for better approaches. A strong programmer, Chris has expertise in SAS, SQL, R, VBA and lower-level programming language Matlab for rapid scripting and prototyping. He has used these, and other, software packages to conduct detailed statistical and probabilistic modelling as well as scenario testing and simulation. Chris thinks creatively, conceptually and systematically to consider the wider consequences of each decision, and deliver creative solutions using ‘big picture’ awareness. He’s passionate about data analysis, big data and how this contributes to a business and has ample experience of presenting complex analytical concepts to all levels of business stakeholders.Data Scientist @ • Using an open and extensible platform for Big Data, combining data from a variety of sources and utilizing advanced data science to optimize pricing and continuously update strategy. • Make recommendations and enhancements to current pricing strategy to improve pricing and revenue insights on customer segments, brands, markets, and channels. • Provide pricing concepts, to include price elasticity, assessment of transaction profitability, margin and revenue analysis, price band analysis, and price waterfall analysis. • Analyse current and future service offerings’ costs and value to establish revenue impact. • Data Mining and Statistical Modelling using R. From May 2014 to Present (1 year 8 months) London, United KingdomData Scientist @ ● Conception, design, implementation and roll-out (end-to-end) of the first business customer segmentation. ● Deployment of various statistical propensity models using SAS + SAS Enterprise Miner. ● Data Mining to extract business trends and customer behaviour. ● Built a data/stats-driven, machine learning email optimization system working closely with campaign/product/creative teams. From March 2013 to May 2014 (1 year 3 months) London, United KingdomInsight Analyst @ ● Analytical project reporting from pre-processing and converting large messy datasets through to production and presentation of actionable insight reports and models – predominantly using SAS and Tableau across all areas of the business. From January 2012 to March 2013 (1 year 3 months) Milton Keynes, United KingdomInsight Analyst @ ● Research and development of statistical and probabilistic forecasting models in SAS. ● Investigating, developing and advising on leading edge solutions and analytical techniques. From June 2011 to January 2012 (8 months) London, United KingdomDoctor of Philosophy (PhD), Mathematical Statistics and Probability @ University of Liverpool From 2007 to 2011 Master of Science (MS), Mathematical Statistics and Probability, Distinction @ University of Liverpool From 2004 to 2005 Bachelor of Science (BS), Mathematics @ The University of Manchester From 2001 to 2004 A-Levels & GCSE's @ King's School Chester From 1994 to 2001 Chris Pearce is skilled in: Statistical Modeling, Data Mining, Segmentation, SAS, Applied Probability, VBA, SAS programming, Customer Insight, Cluster Analysis, Predictive Analytics, Data Science, Machine Learning, Big Data, Marketing Optimization, Uplift Modelling


Chris Pearce’s Personal Email Address, Business Email, and Phone Number

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In a nutshell

Chris Pearce's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

1 year(s), 2 month(s)

Chris Pearce's Willingness to Change Jobs

Unlikely

Likely

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