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S&C Global Network - AI - Financial Services Analytics - Consultant

Accenture

Accenture

Software Engineering, Accounting & Finance, Data Science
Gurugram, Haryana, India
Posted 6+ months ago
About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries,we offer Strategy and Consulting,Technology and Operations Services, and Accenture Song - all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com Entity: - Accenture Strategy & Consulting Team: - Strategy & Consulting – Global Network Practice: - Financial Services - Banking Title: - Data Science Consultant Job location: - Mumbai About S&C - Global Network: - Accenture Consulting works at the heart of its clients' organisations and helps address their most complex issues. 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 – • Banking : Retail and commercial banks and diversified financial institutions. • Capital Markets : Investment banks, broker/dealers, asset-management firms, depositories, exchanges, clearing & settlement organisations. • Insurance : Property and casualty insurers, life and annuity insurers, reinsurance firms and insurance brokers. 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 Client Engagement: • Work closely with clients to understand their business goals and challenges. • Develop data & AI strategies aligned with business objectives and industry best practices. • Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights Data Analysis and Modeling: • Apply statistical and machine learning techniques to analyze large datasets • Design, develop, test and implement solutions based on business requirements and strategic direction. • Perform testing of data to check adherence to internal, processes, policies and regulatory guidelines from RBI. • Develop predictive models and algorithms to extract valuable insights. • Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights. ML Ops: • Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale. • Take offline models data scientists build and turn them into a real machine learning production system. • Develop and deploy scalable tools and services for our clients to handle machine learning training and inference. • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems. • Support model dWho we are looking for? • 3-4+ years of experience in analytics preferably with financial services clients • Bachelor’s or master’s degree in a relevant field – Computer Science / Statistics / Data Science / Econometrics / Economics from reputed institute or MBA from Tier1 colleges • Proficiency in programming languages such as Python • Strong SQL skills for data manipulation and analysis • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP), including knowledge of native AI/ML services • Experience with data visualization tools (Tableau, Power BI, etc.) • Knowledge of different machine learning algorithms, including deep learning, computer vision modelling • Knowledge of Gen AI, NLP techniques and unstructured data analysis using Python • Good to have knowledge/experience with LLMs, Prompt Engineering, Vector Database • Good to have knowledge of API development in Python • Excellent communication and client-facing skills • Craft and deliver engaging presentations to stakeholders, ensuring clarity and alignment with project objectives • Ability to work independently and collaboratively in a team • Project management skills and the ability to manage multiple tasks concurrently • Strong written and oral communication skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

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.

Accenture is committed to providing veteran employment opportunities to our service men and women.