Organisations are generating and recording an ever-increasing amount of data in their operations and marketing activities. Data Scientists are a new breed of analytical data experts who interpret the data to get a clear understanding about how the company is performing.
Data Scientists combine mathematics with data and computer science and are experts in the world of big data and business intelligence. Mining through huge volumes of data to gather valuable business insights which can help improve productivity and boost revenues.
The role involves fetching information from a wide variety of sources and uses programming skills, statistical modelling, and AI tools to analyse and get a clear understanding of specific business challenges and opportunities. It also requires critical strategic thinking to develop smart solutions that help the business make better decisions. A good Data Scientist combines technical, analytical, problem-solving, communication skills and strategic business sense with practical skills such as coding, mathematics and statistics.
You will have a curiosity to understand numbers and the insights that can be gained from them and have a passion for predicting trends and the use of data to inform business strategy and decision making. You will also have strong business sense, outstanding critical thinking skills and the ability to synthesise complex problems and use data to create solutions.
Main duties and responsibilities
As Data Analytics is a growing requirement in organisations, the role will contribute to developing a roadmap for its future scope and will work with others to strengthen its practice as a resource,for governance, and knowledge.
Some of the key responsibilities for this role include:
Skills and experience
Most Data Scientists have a masters degree or equivalent in computer science, statistics, applied mathematics, big data or related fields such as economics, engineering or physics. You will have technical, mathematical and statistical expertise, and a natural curiosity and creative mind. You will also have experience in R, SAS, Alteryx, Power BI, DAX, SSIS, RDBMS, ETL, Solver, Python, Excel (advanced) and mathematical modelling with a specialism on machine learning, AI, data science or statistics.
You will have good understanding of data life cycles and technologies that support it including Microsoft Azure SQL, Datafactory, Databricks, and PowerBI. A knowledge of Java, C/C+, Perl and Ruby would also be useful. As would experience with Google Cloud Platform, SAP HANA and sound project experience in developing and implementing ML and data science to business outcomes.
Key skills needed to become a data scientist include:
There are routes into data science for both graduates and school leavers. As a graduate you will need a degree in maths, engineering, BIS, computer science or related discipline. School leavers can study a related topic at higher national diploma level or apply for an apprenticeship as a data analyst and progress from there. You will typically have at least 2 years data analysis experience and previous experience of ERP tools such as SAP and BI tools.