Blog: OpenSky to create 80 jobs after €2.5M investment in expansion

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OpenSky Data Systems

OpenSky Data Systems

OpenSky to create 80 jobs after €2.5M investment in expansion 

OpenSky, Ireland’s only GovTech transformation specialist which provides process automated solutions to public sector bodies, is proud to announce that it has invested €2.5 million in its own expansion and will create 80 jobs over the next two years.

The company’s employee numbers are set to reach 160 by the end of 2021. New roles will include digital transformation consultants, software engineers, sales and marketing executives, and project and team leaders.

OpenSky is an IT and consultancy solutions company, based in Naas in Co Kildare, that provides innovative solutions and managed services to public sector bodies. The team has successfully delivered major projects for 50 organisations in the sector, impacting 2.5 million people every day. Their systems manage more than 100 million digital transactions per month between Ireland and the UK.

Over the last two years, OpenSky has achieved continued growth, with revenue increasing 30% year-on-year. As well as investing in new additions to the team, 10% of revenue is put towards research and development activities.

The company’s success has been driven not only by the increasing demand among government agencies and public bodies for digital transformation, but OpenSky’s extensive range of services which now includes Artificial Intelligence, Robotic Process Automation and Information Intelligence.

 

“Innovation and digitisation are key to Ireland’s continued economic success”

Furthermore, the business is planning to expand further in international markets, including the UK and the US. OpenSky’s customer base has grown in recent years with both international and Irish customers including the Health Service Executive, the National Transport Authority, the Department of Business Enterprise and Innovation, North London Waste and Surrey County Council.

Michael Cronin, Managing Director, OpenSky, said: “More and more public service agencies and government organisations realise how important it is for them to be able to boost productivity, deliver services and support citizens as directly and efficiently as possible.

“By transforming, they can not only streamline their own processes and optimise resources, but also enhance the citizen experience and create a digital government that works. In order to meet this increasing and evolving demand, we have invested in expanding our team and adding new services.”

Minister of State for Trade, Employment, Business, EU Digital Single Market and Data Protection, Pat Breen T.D. said: “Innovation and digitisation are key to Ireland’s continued economic success and so I very much welcome OpenSky’s ambitious plans for expansion.  I would like to congratulate them on their continued success and of course very much welcome the 80 high-end jobs that will be created.”

If you are interested in finding out more about our employment opportunities, click here. You can also see what vacancies are currently available here.

 

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About OpenSky Data Systems

OpenSky Data Systems for Digital Government That Works. 

As Ireland’s Only Govtech digital transformation specialist, we deliver future-proofed citizen access and operational efficiency.   

Our Govtech business expertise has transformed over 50 public sector bodies in Ireland & the UK.  Within transport, waste, housing & health, our systems impact 2.5m people every day & manage 100m digital transactions every month in Government. 

Taking a Customer-Centric approach, we equip government teams with scalable and sustainable citizen platforms, shared digital business process information systems, realtime monitoring and analysis, legacy system modernisation, minimal viable product designs and implementations and data management services. 

Our expertise & approach, provides our clients with a path towards increased cost-efficiency, reduced risk of investment and superior citizen services.  

Working with the best technologies & MS Gold Certified Partners, we have 15 years of digitising processesconnecting citizens – building a smarter nation. 

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Blog: A Day in The Life of a Data Scientist

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By Joanna Waszak

By Joanna Waszak

Business Intelligence & Analytics Consultant

A Day in The Life of a Data Scientist

I remember that when most of my friends were trying to do everything in their power to avoid maths, I always believed it was one of the most creative and interesting subjects for me to develop. My love of numbers lead me first to accountancy, and ultimately into data science and machine learning.  I like to think that my strong understanding of financial numbers and business gave me a competitive advantage when switching careers. The best thing about being a data scientist is that I work on a variety of projects, using different tools and facing new challenges every day with a certainty that I will be crunching into numbers at some point of the day. Data science is used as a buzzword for analytics these days, but generally, it is associated with machine learning, artificial intelligence and data visualisations. 

My working day usually starts at 9:30am, checking my meeting schedule for the day while drinking coffee!  Most days we have team daily planning meeting call at around 10am. One of the things I learned very quickly in my role with OpenSky, is that communication is one of the major success factors in any project. As a data scientist, I not only interact with my ‘data’ team members (who are incredible people by the way 😊), but I also collaborate on projects and tasks across multiple departments. Analytics is more than just coding and data modelling – it combines the human element of knowledge and science.  

That’s why I usually spend 20% of my time analysing the project objectives and requirements from a business perspective, creating documentation, conducting a series of interviews with stakeholders, and finally transforming this knowledge into a plan. Armed with business knowledge, a plan and caffeine, I am ready for the next phase: data understanding. To begin with, I start gathering the data. It usually comes from multiple sources and in various shapes. Early data discovery helps me to find key insights and links, but most importantly it tells me whether the data I am looking at is representative of the business problem I am trying to solve.   

“Analytics is more than just coding, and data modelling. It combines the human element of knowledge and science.”

Shortly after this, one thing that I am constantly faced with is that the data I am reviewing, is not in the best shape and usually far from perfect. Finding and cleansing dirty, noisy or missing data, takes around 60-80% of my time each day. After following multiple steps preparing data, can finally start building and evaluating the models. I repeat the steps until I am happy with the results and the model can be deployed. This will keep me busy for the rest of the day.  

On a daily basis, I use T-SQL to fetch and analyse the data, RStudio for data cleansing and profiling, PySpark to create a data models and SQL Server Integration Services for data extraction, transformation and loading. I develop SQL Server Reporting Services (SSRS) reports and create cubes from scratch using Analysis Services. I use Azure Cognitive Services to build intelligent algorithms into apps and bots and Power BI for data visualisation which brings the data to life. 

At OpenSky Data Systems I am always challenged with interesting projects and encouraged to generate and develop ideas. By finding meaning and value to data and enabling users to interact with it, I can support a wide range of evidence-based decisions which need to be taken. Depending on the needs of our clients my goal is always to make data more understandable, useful and accessible. I think that nowadays we are all suffering from information overload and the same applies to businesses. By visualising data, I can find and concentrate on information that needs attention. I can tell the story and bring everyone’s attention to the important patterns and connections between numbers that could be scattered across multiple reports.  

If you consider a career in Data Science, I believe Andrew Ng is among one of the most influential people in the field and his Machine Learning course on Coursera is a fantastic introduction to the topic https://www.coursera.org/learn/machine-learning. If you are interested in data visualisation, I would recommend “Visualize This: The Flowing Data Guide to Design, Visualization, and Statistics” by Nathan Yau which offers insight into a practical guide on real-world examples. 

 

About OpenSky 

OpenSky Data Systems for Digital Government That Works. 

As Ireland’s Only Govtech digital transformation specialist, we deliver future-proofed citizen access and operational efficiency.   

Our Govtech business expertise has transformed over 50 public sector bodies in Ireland & the UK.  Within transport, waste, housing & health, our systems impact 2.5m people every day & manage 100m digital transactions every month in Government. 

Taking a Customer-Centric approach, we equip government teams with scalable and sustainable citizen platforms, shared digital business process information systems, realtime monitoring and analysis, legacy system modernisation, minimal viable product designs and implementations and data management services. 

Our expertise & approach, provides our clients with a path towards increased cost-efficiency, reduced risk of investment and superior citizen services.  

Working with the best technologies & MS Gold Certified Partners, we have 15 years of digitising processesconnecting citizens – building a smarter nation. 

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About The Author

Business Intelligence & Analytics Consultant, with a passion for finding meaning and value to data. With the ability to analyze large sets of structured and unstructured data– I can also support a wide range of business decisions using data mining and predictive modeling. 

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I remember that when most of my friends were trying to do everything in their power to avoid maths, I always believed it was one of the most creative and interesting subjects for me to develop. My love of numbers lead me first to accountancy, and ultimately into data science and machine learning.

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