Data Scientist / Data Analyst (CL11) - Please apply on Careers Marketplace

As a Data Scientist with a strong data analytics focus, you will sit at the intersection of data, technology, and business strategy. You will play a critical role in transforming large, complex datasets into meaningful insights that directly influence operational, commercial, and strategic decision-making across the organization.

Key Responsibilities

• Lead the analysis of structured and unstructured datasets to uncover trends, patterns, risks, and opportunities that support data-driven business decisions.
• Develop, maintain, and optimize dashboards, reports, and visualizations using modern BI and analytics tools to communicate insights clearly to both technical and non-technical stakeholders.
• Design, build, test, and deploy predictive and machine learning models that improve forecasting accuracy, operational efficiency, customer experience, and business performance.
• Perform advanced statistical analysis and exploratory data analysis (EDA) to identify actionable recommendations and support strategic initiatives.
• Partner closely with business stakeholders, product teams, engineers, and leadership groups to translate business requirements into scalable analytical solutions.
• Own the full analytics and data science lifecycle, including data extraction, cleansing, transformation, feature engineering, validation, model evaluation, deployment, and ongoing performance monitoring.
• Develop automated reporting and analytics workflows to improve efficiency, reduce manual effort, and increase data accessibility across teams.
• Work with large-scale data environments and cloud-based platforms to ensure analytical solutions are scalable, secure, and production-ready.
• Present findings, trends, and recommendations through compelling storytelling, data visualization, and executive-ready insights.
• Continuously evaluate emerging technologies, statistical techniques, and AI/ML methodologies to drive innovation and improve analytical capabilities.

Technical & Analytical Focus

• Strong focus on data interpretation, trend analysis, and translating complex findings into practical business recommendations.
• Experience working with SQL, Python, R, or similar analytical programming languages for data manipulation, statistical analysis, and machine learning.
• Ability to work with large datasets across multiple systems and sources while maintaining high levels of data accuracy and integrity.
• Knowledge of predictive analytics, regression analysis, clustering, classification models, and forecasting techniques.
• Experience with data visualization and reporting tools such as Power BI, Tableau, Looker, or equivalent platforms.
• Understanding of KPI development, performance measurement frameworks, and operational/business analytics.
• Strong problem-solving mindset with the ability to identify root causes, quantify business impact, and recommend evidence-based solutions.

Collaboration & Business Impact

• Act as a trusted analytical partner to business stakeholders by delivering insights that influence strategic planning and operational priorities.
• Collaborate across technical and business functions to improve data literacy and promote a culture of evidence-based decision-making.
• Support senior leadership with ad hoc analysis, scenario modelling, forecasting, and business performance reporting.
• Contribute to long-term data strategy initiatives, helping shape how data is collected, governed, analyzed, and leveraged across the organization.

What Success Looks Like

• Delivering high-quality analytical outputs that drive measurable business outcomes.
• Building scalable, reliable reporting and analytical solutions that improve visibility and decision-making.
• Providing clear, concise, and commercially relevant recommendations backed by robust data analysis.
• Helping teams move from reactive reporting toward proactive, predictive, and insight-led decision-making.

This role is ideal for an analytically minded professional who combines strong technical capability with commercial awareness and a passion for using data to solve complex business challenges.

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

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities