Data Scientist Career Programme

The Pairview difference

Pairview is a specialist provider of career services and technical and management training. We concentrate on targeting the industry sectors where there are known skills-shortages, immediately putting you in demand. Our career path programmes produce highly talented individuals equipped to tackle the employment market. We ensure that you get access to the very best career opportunities that your newly acquired and in-demand skills command.

Data Sciences – greatly rewarding career opportunities

56,000 Big Data jobs are expected in the UK by 2020, with demand for Data Scientists rising by 259%. However, employers are finding 75% of Data Scientist roles very hard to fill because of the shortage of people with the required skill sets and experience. Data Scientists already command an average salary of £57,500 per annum and are able to boost their earning to £350 per day. (Source: Tech Partnership employers’ network, SAS, ITJobsWatch)

Pairview’s unique pathway to break into this great career

Pairview‘s Data Scientist programme enables you to obtain the required skills and experience to secure one of these hugely in-demand roles which demands a starting salary of £40,000+. As a Data Scientist with predictive modelling skills, you will be required to develop and optimise statistical models to drive key customer management and risk optimisation strategies. Your role will require you to use advanced statistical techniques to create algorithms to predict risks, customer behaviours and profitability. You will work within strategic teams in most data-driven businesses, to utilise Big Data to identify opportunities for growth, you will apply advanced tools such as SPSS or SAS to improve business efficiency and effectiveness. You will be required to provide meaningful insights to support decision making. You need to be highly numerate and educated to degree level from a mathematical or engineering sciences discipline to take this programme.

On top of being equipped with the technical and knowledge based skills, you will also gain hands-on experience through the Work Experience Project, which will allow you to work on the sample business scenarios and problems in sample business environments. You will receive the Work Experience Project once your programme is finished. The Work Experience Project is a 30-day project, and during this time period your trainers will be available to help you through your project one week after your project starts, and one week before your project submission date.

In order to enable your CV to be found in employer’s CV searches, we provide CV Surgery sessions to help you create your perfect CV that will help you get job offers for suitable roles. The CV surgery session is a 4 hour group session which you can join either online or on-site. Finally, when you get an interview, our consultants will guide you through interview questions and provide insight into how to promote your skills and experiences. The Interview Prep session is a 4 hour group session to which you can join either online or on-site.

Your roadmap to career success in Data Sciences

1. Microsoft Excel 2013 Core and Advanced Essentials | 2 days

You will attain:

• Quick tips to improve spreadsheet formatting, functionality, data searching and calculations among large data sets within Microsoft Excel

• An introduction to data analysis, reporting tools, data manipulation and searching

• An insight into simple automation of tasks using macros

2. Querying Microsoft SQL Server 2012 and T-SQL Programming | 2 days

You will learn how to:

• Write SELECT queries

• Query multiple tables

• Use window ranking, offset and aggregate functions

• Use built-in functions

• Use set operators

• Query SQL Server metadata

• Use table expressions

• Sort and filter data

• Program with T-SQL

• Improve query performance

3. Data Mining with IBM SPSS Modeller | 1 day

You will learn:

• An overview of data mining and the fundamentals of using IBM SPSS Modeler

• The principles and practices of data mining by using the CRISP-DM methodology

• The stages of a typical data mining project, from data collection, data exploration, data transformation and modeling to effective interpretation of the results

• How to read, prepare and explore data with IBM SPSS Modeler, and have an introduction to modeling

4. Advanced Predictive Modelling | 2 days You will learn how to:

• Manipulate data and extract useful information on which businesses make important decisions

• Deliver a variety of analyses such as profiles, business reports and KPI analyses at various complexity degrees

• Use advanced techniques to develop predictive models for organisations

• Provide insight into trends, patterns and relationships within organisational databases

• Help organisations get closer to their customers

• Help businesses win new businesses, retain existing customers and develop new products

5. Customer Insight Analysis | 2 days

You will gain an in-depth understanding of the following issues:

• Database marketing and strategic database management

• Customer insight: from insight to action planning

• Customer Relationship Management (CRM): operational CRM and analytical CRM systems

• Analysing customer data and using customer insight for acquisition, cross-selling and retention

• Understanding the consumer buying process

• Understanding consumer loyalty and loyalty schemes

• Defining, quantifying and predicting good and bad customers

• Using market research to drive market segmentation

• Using predictive analytics to drive targeting

6. Hands-on Work Experience Project | 30 days

7. CV Surgery | 1 day

8. Project Support | 1 day

9. Project Presentation | 1 day

10. Interview Preparation | 1 day

You will need a graduate degree in one of the following majors: Mathematics, Physics, Engineering, Statistics, Computer Science, or from another similar technical/numeric discipline. A post-graduate degree in a technical discipline will be an advantage to help you drive a successful career in Big Data Analytics.

Basic working knowledge of Microsoft Office and Windows operating systems.

Data Scientist > Senior Data Scientist > Business Analytics Consultant