Kate O’Meara, data science supervisor at Accenture, advises women pondering of making use of to the accelerator not to underestimate themselves or what they’ll deliver to the desk.

If you happen to’re a girl with an curiosity in data and analytics, you may think about making use of to participate in a free, six-week course aimed toward women who need to grow to be main data scientists.

The Women in Data Science accelerator programme is being run by skilled and digital providers agency Accenture.

Individuals can have the chance to meet different women involved in data science, in addition to attend industry-led lectures and workshops.

The classes will deal with constructing confidence and informing contributors of profession alternatives. There will even be classes on how to convey the technical expertise of a data scientist to potential employers.

In accordance to Kate O’Meara, data science supervisor at Accenture, the programme has a particular aim to enhance the share of women working in data science.

The corporate began working it in 2019, she defined. “About 20pc of data scientists are women, with this gap increasing as you progress into leadership positions. This statistic is mirrored across most careers in STEM.”

O’Meara continued: “By helping participants better understand the career options as a data scientist and how to excel in that career, we hope to see the percentage of women working in data science careers increase over time, giving rise to more opportunities for female role models and in turn making it more appealing and easier for women to consider a career as a data scientist in the future.”

In accordance to a few of Accenture’s in-house analysis, 82pc of contributors from the 2019 cohort stated they felt extra outfitted to make a profession transfer into data science whereas 100pc stated they’d suggest the course to others.

O’Meara identified that the connections the women on this yr’s programme will make will stand to them as they progress within the {industry}.

As a girl working in data science herself, O’Meara has her personal recommendation for others pondering of stepping into the {industry}.

“My advice to any woman considering applying for this programme (or for a job in data science) is not to underestimate your own skills and what you can bring to the table,” she stated.

“As women, we need to back ourselves and understand that we, too, have the skills required to succeed in this industry.”

Whereas O’Meara is aware of that the share of women in data science can’t “change overnight”, she stated that she and her colleagues at Accenture are attempting to flip that tide.

Headshot of Kate O'Meara, data scientist at Accenture.

Kate O’Meara. Picture: Accenture

O’Meara additionally defined {that a} profession in data science can take many varieties – and, because of this, it may be “difficult to pinpoint what a ‘typical’ career would look like”.

“With such a broad range of specialities, technologies and industries that utilise data science, there’s a lot of opportunity to carve out a career that best aligns with your skills and interests,” she defined.

“That might be optimising a process for a pharmaceutical company, developing a predictive model for which customers will cancel their phone plans, or natural language processing to understand online reactions to a marketing campaign.”

She added that her favorite a part of working in data science proper now could be the problem of speaking the story behind the data.

“While lots of people understand the value of data, it’s our job to understand the data itself and bring others on that journey with us.”

The programme runs within the evenings for 2 hours, ranging from 22 February. It is going to be based mostly at Accenture’s The Dock constructing on Hanover Quay in Dublin metropolis. These have till 8 February to ship their functions in, and areas are restricted.

Accenture will notify profitable candidates of their acceptance to the programme by 15 February.

To use, see Accenture’s web site.

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The Obsessed Guy
Hi, I'm The Obsessed Guy and I am passionate about artificial intelligence. I have spent years studying and working in the field, and I am fascinated by the potential of machine learning, deep learning, and natural language processing. I love exploring how these technologies are being used to solve real-world problems and am always eager to learn more. In my spare time, you can find me tinkering with neural networks and reading about the latest AI research.


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