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Ashreigney
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These are the most in-demand skills for women seeking to elevate their careers.

Communication

It is no secret that communication skills are among the most important for anyone, anywhere. Communication is the act of transferring information, ideas, and data from one group to another. Typically, communication involves talking, writing, listening, or reading, combined with more subtle variations, like reading body language and empathy.

In the workplace, these skills are a must to succeed in communications roles, but they are also necessary for building relationships with managers, colleagues, and customers across a range of industries.

Leadership and management

Great leaders execute a collective vision and motivate individuals to put forth their best efforts for the benefit of the company, organization, or team. They manage conflict and make decisions on a daily basis. Excellent managers come with all types of personalities, backgrounds, and leadership styles. Leading with influence, rather than authority, is an important practical skill to learn.

Globally, women hold only 24 percent of senior leadership positions. There is plenty of opportunity to improve these numbers to equalize women in the workforce and bring their unique talents to the forefront.

Probability and statistics

Probability is the determination of how likely an event will occur, or how likely something is true, while statistics involves the collection, interpretation, and analysis of data to solve problems. Both are important in careers that involve science, technology, engineering, and mathematics (STEM).

Women have been systematically limited from STEM throughout their education, due to factors like gender stereotyping, fewer role models in popular culture, and math anxiety passed on by female teachers, according to the American Association of University Women. Women comprise only 28 percent of the labor force in STEM, creating a gender gap in some of the fastest-growing and highest-paid jobs, such as computer science and engineering [5]. Fortunately, things are changing; at Coursera, enrollment in STEM courses grew from 25 percent in 2019 to 38 percent in 2022 [3].

Entrepreneurship

Entrepreneurship is the act of creating value, usually by developing an idea into a successful business that provides a valuable service or product. As an entrepreneur, you take financial risks in the hope of generating profit. To do this, you need to know how to design, organize, and manage new enterprises through the stages of launch, growth, financing, and profitability.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Women-owned businesses made up only 20.9 percent of the total in the United States in 2019, according to the Census Bureau’s Annual Business Survey [6]. That number is higher according to a report by American Express, which cites that women-owned businesses represent 30 percent of all US companies [7]. Either way, there is ample opportunity and need for female entrepreneurs.

Computer programming

Computer programming skills are in high demand as work becomes increasingly automated. Programmers write code that instructs how computers, apps, and software programs perform. It involves analyzing, generating, and implementing algorithms.

Like many other STEM careers, in recent history, women have been discouraged from this type of work. Women hold only 20 percent of computer science roles. On the plus side, the field has one of the smallest pay gaps, with women earning 94 percent of what men earn. Now, more than ever, women are pursuing computer programming skills to enhance their careers.

Business psychology

Business psychology, or industrial-organizational psychology, combines human psychology with practical business applications to improve productivity, work environment, and organization. Learning business psychology is beneficial in developing strong networks and relationships that can help you get jobs and build harmonious teams and communities. These skills are important in nearly every facet of society, including businesses, start-ups, hospitals, non-profits, and governments.

Executive teams that are gender-diverse are 49 percent more likely to financially outperform their peers in 2023, a number that has increased from 15 percent in 2015 [8]. That means female business leaders are critical to success in any sector and industry.

Business analysis

Business analysis is a way of identifying business needs and solutions. That might include organizational changes, strategic planning, policy development, and improvements to processes, systems, and tools.

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Business analysts play an integral role in making data-driven decisions based on research and strategic thinking. You will need to present your findings and recommendations to management and other key stakeholders in roles that require business analysis.

Data analysis

Data analysis involves gathering, cleaning, analyzing, visualizing, and presenting data to inform business decisions. As a data analyst, you leverage data to solve problems and help stakeholders navigate the best plan of action.

Big data is shaping the future economy, and as such, individual human experiences. It is important that women are represented. Today, approximately 15 percent of data scientists are women, so there is a huge gender gap to fill. Learning data analysis can lead to a high-demand, high-impact career.

Machine learning

Machine learning is the study and creation of computer algorithms that improve through experience and data usage. Considered part of artificial intelligence (AI), machine learning comprises skills like programming and analysis that help companies like Spotify and Netflix determine your music and movie preferences over time to offer personalized recommendations.

The field of AI, which encompasses both machine and deep learning, is completely reshaping society—but women only hold 26 percent of data and AI positions, according to the World Economic Forum [9]. There is a huge opportunity for women to thrive in this emerging and in-demand industry.

Marketing

Marketing involves research, analysis, and using psychology to understand your customers to get them interested in your product, service, or brand. Marketing can include modern methods such, as influencer marketing, social media, digital marketing, and search engine optimization, as well as traditional methods like print media advertising, billboards, and television commercials.

Women account for up to 80 percent of purchasing decisions globally (roughly $20 trillion of total consumer spending), according to a study by Deloitte, which suggests companies benefit from including female perspectives on their teams.

Source: Coursera

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Skills

Communication
Leadership
Management
Probability
Statistics
Entrepreneurship
Computer Programming
Business Psychology
Business Analysis
Data Analysis
Machine Learning
Marketing

Location

Ashreigney, England, United Kingdom

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