Xpertise IT leaders Data Science Event - Nottingham 2015

1. Xpertise Recruitment
Data Science IT Leaders Event
Nottingham – November 2015

5. Data Science Hiring Trends
• Indeed.com’s chief economist - job postings
for data scientists grew 57% for the first
quarter this year compared to the year-ago
quarter (May 2015)
• Searches for data scientist grew 73.5% for the
same period.
• The top-paying job listings at Facebook and
LinkedIn are for data scientists

6. Data Science Hiring Trends

7. Data Science Hiring Trends

8. Data Science Hiring Trends

9. Data Science Hiring Trends

12. At the heart of business transformation
Royal Mail’s Journey into
Advanced Data & Analytics
Andy McMurtrie
Head of Business Intelligence for Parcels
Group Business Intelligence
Royal Mail plc

13. Welcome to the Data Century
• Where the world's largest taxi company,
owns no vehicles.
• Where the world's most popular media
owner, creates no content.
• Where the most valuable retailer, has no
inventory.
• Where the world's largest accommodation
provider, owns no real estate.
Where will you be in one, three, five years time?

14. Data Strategy isn’t…
…hiring a load of data scientists & Qlikview
developers

15. A thriving business in a dynamic and
highly competitive industry…
Managing the decline in UK letter
volumes: -6.8% p.a. 2008-2013 UK parcels market volume growth:
+3.7% 2008-2013
Working to improve efficiency
& deliver exceptional
customer experience

16. Massive Data Potential
One of UK’s
largest
call centre
40,000+
vehicles
£2.5B goods
and services
procured from
>7,000
suppliers
Operational Efficiency
Fleet / fuel Optimisation
Procurement Analytics
Customer Analytics
13 billion
letters
delivered
1 billion
parcels
140,000
people

17. A step change
Data Decision
Makers

18. Data Driven Strategy & Investment
✓ Business drivers
✓ C-Level Buy In
✓ Investment: Talent & Technology

19. Delivering on the Strategy
• Talent, Team & Organisation
• Process
• Getting to the

20. The ingredients for a high performance
car (…or team!)
Data Science
The Engine

21. The ingredients for a high performance
car (…or team!)
Data Science
The EngineBusiness Analysis
Moving things forward
for the business
Solutions & Delivery
Holding it all together
Data Engineering
Making the solution
roadworthy
The Business
Business drivers &
value
A multidiscipline
team

22. Organised to be effective
?

23. Review &
Benefits
Realisation
Data Product
Delivery
Insight to
Action
Business
Incubator
Qualification
Weeks 6-8 Weeks 12-nWeeks 1-4 Weeks 4-6
Lead Generation
Data Science
Solution
Delivery
Stage Gates:
•Peer Review & Quality Control
•Value assessment
Data Consulting:
Data Strategy, Business Analysis, Engagement/Comms, Project Management, Benefits Realisation
From idea to value

24. Delivering on the investment
Data Science & Advanced
Analytics:
•Customer churn
•Product recommendation
Data Insight &
Visualisation:
•Source of truth, trusted
enterprise data
Data at the heart of decision-
making, products & services

25. The journey continues

26. Thank You!
Andy McMurtrie
andrew.mcmurtrie@royalmail.com
Find me on LinkedIn
(there aren’t many Andrew McMurtries at Royal Mail…)

28. Confidential
Putting Data Science at the heart of
business decisions
Dan Kellett
Director, Data Science
kellettboy1
kellettdan

29. 29Confidential

30. 30Confidential
The business problem should be core to everything a Data Scientist
does

31. 31Confidential
What is the business problem you are trying to solve?

32. 32Confidential
What data are available to solve the problem & do you trust it?
Data Scientist Sandpit
Open Data
Customer
Datamarts
Credit
Bureau Data
Website
Traffic
Simulated
Data

33. 33Confidential
Choosing a technique to solve the problem

34. 34Confidential
How will the analysis be carried out?

35. 35Confidential
Text mining agent notes allow us to identify customers in vulnerable
situations to ensure we offer the appropriate support

36. 36Confidential
CherryPicker automates a scan for key words in a range on online
news websites to present potential leads to fraud investigators
BodyText: ‘<p> Dan Kellett, the director in charge of Capital Oneu2019s UK datalab team, was
concerned today to find his name included in a list of fraudsters accused of conning members of the IT
architecture team currently seconded to the data lab </p>’,
‘<p> Mr Kellett claimed that the accusations of running a scam during the Tuesday Bake Club, made in
an anonymous post on the Pulse website, were completely unfounded. </p>’,
‘<p> u201ciu2019m not a hacker,u201d claimed Mr Kellett. u201cMy team has been duped into
thinking that I deliberately purchased Mr Kiplingu2019s Cherry Bakewells and passed them off as my
own during the charity event in aid of Comic Relief.u201d </p>’
FraudKeywords: ‘scam’, ‘duped’ , ‘hacker’
MerchantKeywords: ‘fraudsters’, ‘scam’, ‘conning’
Names:
‘Dan’ ‘Kellett’ ‘Mr’ ‘Kellett’ ‘Tuesday’ ‘Bake’
‘Bake’ ‘Club’ ‘Mr’ ‘Kellett’ ‘Cherry’ ‘Bakewells’
URL: ‘http://www.madeitup.com/notnews/garbage/teststory-2015-03-13.html’

37. 37Confidential
The account tracker application allows us to understand a
customer’s journey instantly

38. 38Confidential

39. 39Confidential
The combined skills of a Data Science team have allowed us to unlock the
potential insights from data
Data Product
Design
Coding
Technology
Architecture
Statistical
Modelling
UK Data Science
Statisticians
New Hires
Data Analysts
IT / Comp Sci
Business
Understanding

40. 40Confidential
Thank you