招聘
Benefits & Perks
•Healthcare
•Gym
•Flexible Hours
•Remote Work
•Learning
•Parental Leave
Required Skills
Python
SQL
At Accenture’s CFO & Enterprise Value practice, we help CFOs and Finance leaders reimagine how Finance operates in the era of data, AI, and digital transformation. Our teams design and deliver data-driven solutions that unlock value, enhance decision-making, and future-proof Finance functions.
As a Business Data Scientist within CFO & EV, you will work at the intersection of Finance, Data Science, and Technology. You will use advanced analytics, machine learning, and AI to address CFO priorities—ranging from planning & forecasting, working capital optimization, and risk management to financial reporting automation and performance insights.
You will collaborate with Finance executives and multidisciplinary teams to:
- Translate complex financial problems into data science use cases.
- Design and implement scalable models that optimize profit, cash, and operational efficiency.
- Build predictive and prescriptive analytics to support strategic CFO decision-making.
- Re-engineer financial processes through AI-enhanced automation.
- Drive adoption of innovative tools and insights across the Finance organization.
Our work blends deep Finance expertise with cutting-edge data science. You’ll have the opportunity to contribute to high-impact transformations across industries, while continuously learning and shaping the future of Finance.
Qualifications:
- Experience: 3–6 years in a Finance environment (finance, accounting, controlling, FP&A, etc.) with hands-on exposure to data analytics.
- Education: Master’s degree in Applied Economics, Engineering, Data Science, or related field.
- Finance expertise: Solid understanding of CFO priorities (planning & forecasting, enterprise performance management, reporting, value creation).
- Technical skills:Advanced Python
- SQL / R
- Visualization tools (Power BI, Qlik, Tableau)
- Analytical skills: Ability to translate Finance needs into models, dashboards, and insights.
- Business skills: Confident communication with Finance executives, strong problem-solving mindset, entrepreneurial spirit.
- Other: Strong presentation skills (MS Office), fluent English.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
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Accenture
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Senior/L5
L2 · Data Scientist L2
0 reports
$14,221
total / year
Base
$5,688
Stock
$7,111
Bonus
$1,422
$9,955
$18,487
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
Case Study
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