Learning & Events
Data Scientist
What is day-to-day life like as a Data Scientist, what are the main responsibilities, and what skills do you need to excel?
We chatted to Avnish Hirani, who is a Data Scientist at M&C Saatchi, to find out what day to day life is like in his role
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Role Profile
As a Data Scientist, its your role to transform raw data into valuable insights in order for the business to grow and compete. Data Scientists interpret and analyse data from multiple sources to create solutions to problems. As a Data Scientist, you must have a strong business acumen as well as the ability to communicate your findings to both business and IT leaders in a way that can change how an organisation can tackle challenges. Your duties will usually include creating different machine learning-based tools or processes within the organisation, for example recommendation engines or automated lead scoring systems.
Key responsibilities
Work closely with different departments in your organisation to find issues and use data to suggest solutions for effective decision making
Use your knowledge of computer science and applications, analytics and maths to solve problems
Extracting data from multiple sources for insights
Use strong business judgement, perform statistcal analysis, and mine vast amounts of data for useful insights
Use these insights to influence how an organisation can approach business challenges differently
Creating algorithms and designing experiments to supply tailored reports to other departments, customers or the wider organisation
Analyse data from different angles, searching for notable trends that highlight problems or an opportunity
Communicate important information and insights to business and IT leaders
Make recommendations in order to adapt and improve business strategies
Requirements
If you are to be successful as a Data Scientist:
You must have excellent analytical and problem-solving skills in order to suggest solutions to problems swiftly
Have a good understanding of database interrogation and analysis tools
Excellent communication and presentation skills in order explain your findings to people who don't understand the mechanics behind data analysis
Effective listening skills in order to understand company values and goals
Be resilient to try new ideas if you face hurdles, you'll be expected to work with little to no supervision, so it's important that you're able to motivate yourself
Good planning, time management and organisational skills
Be able to deliver under time pressured conditions and meet tight deadlines consistently
Great teamwork skills and a collaborative approach to sharing ideas and finding solutions
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