Transform your workforce with relevance and agility for the digital future. Reskill your people to new, in-demand competencies that fuel your future growth.


It’s a race between education and technology. As intelligent systems and machines reshape the nature of work, people will need entirely new skill sets.

But the very skills that are growing in importance are not taught in classrooms. They are acquired through practice and experience. Traditional education and learning methods are ineffective and inappropriate for the new skills challenge. Smaller organizations are most at risk if they cannot apply new learning techniques. The potential economic cost is great.

Reskilling“Leverage The Insiders” – is our proven approach to transforming the workforce to unleash the full power of data and analytics and intelligent technologies and power business growth in a digital future.

Our Reskilling Programmes retrain your employees and develops qualified professionals and specialists in the hardest-to-find skills set and job domains. Our unique Zero-to-Hero Delivery Model take delegates from foundation level in a given technology or skill in through to mastery level.



By investing in reskilling strategies that combine a strengthened talent pipeline, intelligent technologies, and an agile culture and leadership, companies can expect:

0 %

Revenue boost by 2022

0 %

the proportion of worker time potentially impacted by intelligent technologies


About This Role

Data scientists are needed to enable big data to create transformational value and bring change to an organisation. Expert Data Scientist is a specialist who can extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, to help businesses solve problems in innovative ways.


Reskilling Outcome

Upon completion of the Expert Data Scientist Reskilling Programme, the delegates will obtain the skills and experience required to perform the major responsibilities of this role confidently and effectively. They will be able to:

  • Work closely with your business to identify issues and use data to propose solutions for effective decision making
  • Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation
  • Use machine learning tools and statistical techniques to produce solutions to problems
  • Test data mining models to select the most appropriate ones for use on a project
  • Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
  • Create clear reports that tell compelling stories about how customers or clients work with the business
  • Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods


Recommended Curriculum

  • Introduction to Analytics and Data Science
  • Developing Queries with Microsoft SQL Server
  • Management Information Reporting
  • Analysis and Visualisation with Microsoft Power BI/Tableau
  • Introduction to Programming with Python/R
  • Statistics and Data Wrangling for Analysis
  • Machine Learning with Python/R
  • Deep Learning with TensorFlow
  • Applied Solution with Natural Language Processing
  • Customer Insight Analytics and Implementation
  • Data Science Projects relevant to your business scenario


Technologies and Tools We Can Cover

Python, R, TensorFlow, IBM Cognos, IBM SPSS, SAS, Microsoft SQL Server, Microsoft Power BI, Tableau, Qlik, MicroStrategy, and so on.

About This Role

Artificial Intelligence (AI) technologies have become increasingly more present throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity. AI Engineer is a specialist who builds, tests, and deploys AI models, as well as maintains the underlying AI infrastructure. They are problem-solvers who can navigate between traditional software development and machine learning implementation.


Reskilling Outcome

Upon completion of the AI Engineer Reskilling Programme, the delegates will obtain the skills and experience required to perform the major responsibilities of this role confidently and effectively. They will be able to:

  • Coordinate between Data Scientists and Business Analysts
  • Automate infrastructure used by the Data Science team
  • Convert machine learning models into APIs so that other applications can access them
  • Test and deploy models
  • Develop minimum viable products based on machine learning
  • Automate processes by utilizing machine learning
  • Use AI to empower the company with novel capabilities


Recommended Curriculum

  • Introduction to Artificial Intelligence
  • Introduction to NoSQL Data Solutions
  • Processing Big Data on Cloud Platforms
  • DataOps and Microservices for Big Data Solutions
  • AI Application Development
  • Machine Learning Process Streaming and GPUs
  • Building Deep Learning Models
  • Implementing Solutions with Natural Language Processing Techniques
  • Developing Computer Vision and Image Analysis Solutions with Python
  • AI Engineering Projects relevant to your business scenario


Technologies and Tools We Can Cover

Natural Language Generation, Text Analytics and Natural Language Processing, Speech Recognition, Image Recognition, Machine Learning Platforms, Deep Learning Platforms, Virtual Agents, Robotic Process Automation, and so on.

About This Role

Business Intelligence (BI) is a technology-driven process for analysing data and presenting actionable information to help business users make more informed business decisions. The potential benefits of BI programs include accelerating and improving decision making, optimising internal business processes, increasing operational efficiency, driving new revenues, and gaining competitive advantages over business rivals. A BI Developer is an engineer who is in charge of developing, deploying, and maintaining BI interfaces. Those include query tools, data visualisation and interactive dashboards, ad hoc reporting, and data modeling tools.


Reskilling Outcome

Upon completion of the Cloud BI Developer Reskilling Programme, the delegates will obtain the skills and experience required to perform the major responsibilities of this role confidently and effectively. They will be able to:

  • Aggregate data from multiple sources in an efficient data warehouse and design enterprise-level solutions for very large multidimensional databases
  • Design, build and deploy BI solutions (e.g. reporting tools)
  • Maintain and support data analytics platforms
  • Debug, monitor and troubleshoot BI solutions
  • Collaborate with teams to integrate systems
  • Develop and execute database queries and conduct analyses
  • Create visualisations and reports for requested projects.


Recommended Curriculum

  • Modelling and Reporting with Microsoft Excel
  • Developing Queries with Microsoft SQL Server
  • Data Warehouse Concept, Design and Data Integration
  • Data Modelling Essentials
  • Cloud Relational Database Design
  • Delivering Data Warehouse in the Cloud
  • ETL with Microsoft SSIS
  • Multidimensional Modelling with Microsoft SSAS
  • Analysis and Visualisation with Microsoft Power BI
  • Building BI Reporting suite with Microsoft SSRS
  • BI Development Projects relevant to your business scenario


Technologies and Tools We Can Cover

Cloud Platforms, ETL, Microsoft SSIS, SSAS, SSRS, Power BI, SAP, and so on.

About This Role

Big Data Engineers are needed to enable Data Scientists and Analysts to carry out advanced analytics more effectively and generate valuable insight from Big Data. Big Data Engineers are instrumental in rolling out data analytics applications. They help facilitate getting data from a variety of different sources, getting it in the right formats, assuring that it adheres to data quality standards, and assuring that downstream users can get that data quickly, so they can perform whatever downstream task that is, whether reporting or exploratory analytics or building a new model or an algorithm.


Reskilling Outcome

Upon completion of the Cloud BI Developer Reskilling Programme, the delegates will obtain the skills and experience required to perform the major responsibilities of this role confidently and effectively. They will be able to:

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional/non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, redesigning infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ‘big data’ technologies.
  • Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with data and analytics experts to strive for greater functionality in their data systems.


Recommended Curriculum

  • Introduction to Big Data Architecture
  • Apache Hadoop Essentials
  • Big Data NoSQL Databases
  • Practical Data Migration for Big Data
  • DataOps and Microservices for Big Data Solutions
  • Programming Principles and Software Design in Scala
  • Big Data Streaming Analytics with Scala and Spark
  • Predictive Analytics with Spark
  • Cloud Computing Solutions for Big Data
  • Big Data Engineering Projects relevant to your business scenario


Technologies and Tools We Can Cover

Apache Hadoop, Apache Spark, Apache Hive, Apache Hbase, Scala, MongoDB, Cassandra, Microsoft Azure, and so on.



Benefits of partnering with Pairview for reskilling your workforce


We deliver real value to our clients across various industry sectors. Our solutions enable new and enhanced capabilities that are relevant to your sector and needed for your growth and efficiency.

Business Services
Predicting Customer Intent and Lifetime Value
Identifying and Acquiring Quality Leads
Improving Customer Acquisition and Retention
Optimising Prices and Offers
Automating Customer Interactions
Optimising and Automating Routine Processes

Consumer Products and Retail
Better Customer Segmentation and Targeting
Optimising Customer Journey
Enhancing Customer Experience
Real-time Tracking of Customer Behaviour
Optimising Inventory and Reducing Out-of-Stocks
Improving Retail Store Layout and Design

Energy and Utilities
Increasing Customer Engagement
Better Management of Demand
Improving Load Forecasting
Yield Optimisation
Predictive Maintenance
Energy Theft Detection

Financial Services and Insurance
Enhancing Risk Assessment and Management
Better Customer Segmentation and Targeting
Improving Customer Experience
Improving Account Activity Tracking
Business Process Automation
Better Regulatory Compliance

Government and Public Sector
Optimising Routine Processes
Automating Customer Service
Automating and Streamlining Back Office Operations
Improving Productivity and Decision-Making
Real-time Visibility of Operations and Service Delivery
Enhancing Cybersecurity

Improving Treatment Outcomes
Enhancing Patient Experience
Better Management of Diseases
Eliminating System Errors
Better Management of Drugs
Reducing Operational Costs

Hospitality and Leisure
Predicting Customer Intent and Behaviour
Real-time Tracking of Customer Behaviour
Identifying Cross-selling and Up-selling Opportunities
Enhancing Revenue/Yield Management
Optimising Prices and Offers
Optimising and Automating Customer Service

Manufacturing and Automotive
Predictive Maintenance
Automatic Quality Testing
Supply Chain Optimisation
Product Optimisation
Improving Marketing Effectiveness
Real-time Visibility and Insight into Business Operations

Network Infrastructure Optimisation
Preventive Maintenance
Better Customer Segmentation and Targeting
Predicting Customer Intent and Behaviour
Predicting Customer Churn and Improving Loyalty
Optimising and Automating Customer Service

Transport and Logistics
Better Warehouse and Inventory Management
Real-time Visibility and Insight into Supply Chains and Logistics Operations
Resource Utilisation Assessment and Optimisation
Predictive Maintenance
Service Planning and Forecasting
Cost Management and Budget Optimisation


Our personalized, hands-on approach and unique Zero-to-Hero Delivery Model ensure your team is proficient and ready.

A result-driven, tailored programme with measurable outcome

Our in-depth Skills Matrix Analysis and needs assessment identify your team’s current level of knowledge in key areas. Results are used to generate custom learning paths designed to equip your team with the most applicable skill sets. We work with you to develop a customised, end-to-end programme that meets your business goals and requirements.



  • Business requirements gathering
  • Skills Matrix Analysis and needs assessment with each delegate
  • Recommendations of learning paths and programme structure

Programme co-designing and customisation

Get job-ready, high-impact skills

Our quality curriculum is designed and taught by industry experts, not academics, so your team learns the high-impact skills that are required for the job purpose and deliver transformational value.



100% of delegates passed their course assessments

4.7+ service ratings



  • Interactive classroom training at the client’s site or by virtual method
  • Hands-on practice throughout the training sessions
  • Access to further materials for self-study and practice after the classes
  • Course assignments are given after the class to assess the delegates’ comprehension and ability to apply the learnt skills effectively
  • Access to support and mentoring by the Technical Mentors during the whole programme period

Gain indispensable experience with our projects

Your team will gain experience by undertaking hands-on projects relevant to your business scenario and challenges. Your team learns and applies new techniques, analyses results, and produces actionable insights. Learn by doing leads to real skills mastery.



92%+ of delegates completed their projects with Merit or Distinction

4.6+ service ratings



  • 1-2 months of work experience
  • Assigned Project Manager for supervision and support
  • Weekly support sessions
  • Project presentation and personalised feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices

Enjoy seamless experiences and achieve your desired outcome

From co-designing programmes to monitoring your team’s individual progress and offering personalised support, your success is our priority. Pairview manages your entire experience and ensures your desired outcomes are achieved within the timeline.


92%+ of delegates completed their programmes as per schedule

4.5+ client satisfaction scores


  • Dedicated Enterprise Customer Success Manager
  • Regular delegate progress reporting
  • Cohort monitoring and tailored support
  • Regular account meetings for performance review and feedback
  • Outcome evaluation at each milestone throughout the programme

Case Studies

Route-to-market strategy for Fiber Broadband

End-to-end advanced analytics strategy for their new Fibre Broadband proposition. Route-to-market strategy for a major TELCO- Fiber Broadband proposition

Get In Touch with Our Consultants