Digital transformation has accelerated significantly due to the Covid-19 pandemic, but the extra demands on data scientists have revealed significant barriers to effective working and high levels of job dissatisfaction in some areas.
To delve deeper into the state of data science, the report assesses the impact of the pandemic, challenges faced, overall satisfaction with the analytics environment and more. The research showed the pandemic upended standard business practices, shifting the assumptions and variables in models and predictive algorithms and causing a ripple effect of adaptations in processes, practices and operating parameters.
“There have clearly been more demands placed on data scientists as the pandemic has accelerated digital transformation projects that many organisations were planning anyway,” says Dr Iain Brown, head of data science at SAS UK and Ireland. “A major source of frustration is finding a way for organisations to implement the insights from analytics projects and use them in their decision making, which means giving data scientists a seat at the boardroom table might be a way forward.
When it comes to the challenges identified to ensure fair and unbiased decision making, industry expert Dr Sally Eaves says: “Data scientists can lend their expertise to craft working guidelines for data access, usage security, and broader issues, such as sustainability and data ethics and bias.
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