Entity: - Accenture Strategy & Consulting
Team: - Global Network - Data & AI
Practice: - Banking & Financial Services Analytics
Title: - Analyst – Level 11
Job location: - Bengaluru, Gurugram, Mumbai
About S&C - Global Network – Data & AI: - Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling – to outperform the competition.
Role Overview: - As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, you'll improve the future of the global financial services industry.
Accenture serves the world's leading financial services organisations across three industry groups –
- Central Banks: Monetary authorities, reserve banks across globe
- Banking: Retail and commercial banks and diversified financial institutions.
- Capital Markets : Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations.
What’s in it for you
- You’ll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities
- Get to work with top financial clients globally
- Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business
- Get access to resources that will allow you to leverage the latest technologies
and bring innovation to life with the world’s most recognizable companies
What you would do in this role
- Collect, organize, and analyze large datasets to identify trends, patterns, and insights.
- Conduct in-depth analysis of customer data, transactional data, and market trends to provide actionable insights for business decision-making
- Use machine learning tools and statistical techniques to interpret data and provide meaningful conclusions.
- Work with latest technologies in data science, including emerging tools like GENAI.
- Develop and implement data-driven strategies to identify cross-selling opportunities within the customer base.
- Build predictive models to assess and maximize Customer Lifetime Value, enabling targeted retention and acquisition strategies.
- Design and implement advanced recommendation algorithms to enhance personalized customer experiences across digital channels
- Deploy models into production environments and implement monitoring mechanisms to ensure ongoing performance.
- Prepare and present clear and concise reports, dashboards, and visualizations to communicate findings to both technical and non-technical stakeholders
Who we are looking for?
- 1-3 years of experience in Data Science preferably with financial services clients
- Engineering graduates (4 year course) or master’s degree in a relevant field – Computer Science / Statistics / Data Science / Econometrics / Economics from reputed institute
- Proven experience in developing ML and statistical models
- Proficiency in programming languages such as Python, R, Scala
- Any experience in Generative AI is a plus.
- Proficiency in any one of the Cloud solutions – Azure, GCP or AWS
- Strong SQL skills for data manipulation and analysis
- Experience with data visualization tools (Tableau, Power BI, etc.)
- Knowledge of machine learning algorithms (Decision trees, Random Forest, XGBoost etc), deep learning models and statistical modeling techniques
- Excellent communication and client-facing skills
- Ability to work independently and collaboratively in a team
- Strong written and oral communication skills
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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