Full-Time
S&C Global Network
AI, Hi Tech','Data Science Manager
Posted on 9/9/2025
Accenture
10,001+ employees
Global professional services and technology consulting
No salary listed
Kolkata, West Bengal, India + 3 more
More locations: Hyderabad, Telangana, India | Noida, Uttar Pradesh, India | Bengaluru, Karnataka, India
In Person
 Data & Analytics (1) |
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- Experience: 10+ years in data science, including team leadership and independent client delivery.
- Education: Master’s Degree in a quantitative discipline (e.g., Computer Science, Statistics, Applied Mathematics, or related field).
- Industry Knowledge: Experience in Consumer Tech, Enterprise Tech, or Semiconductors.
- Programming: Proficiency in Python, SQL, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).
- GenAI Expertise: Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents
- Cloud Platforms: Experience with Azure and/or AWS in data science workflows.
- Data Science Tools: Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- GenAI & LLM Tooling: LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone)
- Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.
- Own large-scale AI/ML programs, ensuring technical excellence, client satisfaction, and measurable business impact.
- Lead client relationships – drive scoping, solution design, delivery, and executive stakeholder alignment.
- Grow and guide cross-functional teams, setting direction, coaching talent, and ensuring delivery quality.
- Contribute to practice growth through thought leadership, go-to-market development, and capability building.
- Define GenAI strategy and roadmaps for enterprise clients across NLP, CV, and multimodal use cases.
- Oversee architecture of agentic AI systems, orchestrating multi-step workflows with LangChain, LlamaIndex, AutoGen, and enterprise integrations.
- Establish governance and optimization frameworks for AI agents and RAG pipelines (Pinecone, Weaviate, FAISS, Milvus).
- Advise C-level stakeholders on responsible AI adoption, innovation opportunities, and transformation outcomes.
- Architect and scale cloud-native AI platforms on Azure, AWS, or GCP with focus on compliance, scalability, and cost efficiency.
- Standardize MLOps frameworks for lifecycle management, monitoring, and governance using SageMaker, Azure ML, or Vertex AI.
- Ensure seamless integration of AI solutions with enterprise data ecosystems (data lakes, warehouses, ERP/CRM, real-time pipelines).
- Drive high-impact AI/ML solutions (predictive analytics, recommendation engines, optimization models) with measurable ROI.
- Set standards for enterprise data and ML pipelines, enabling scalable and production-ready AI applications.
- Guide innovation and adoption of advanced analytics and multimodal data architectures.
- Translate executive business priorities into AI-driven strategies with clear outcomes.
- Shape transformation programs by identifying high-value GenAI/agentic AI opportunities.
- Represent the firm as a thought leader in Data & AI through client advisory, assets, and industry contributions.
- Experience in decision science projects focused on marketing, supply chain, or sales.
- Strong analytical and problem-solving skills with a results-oriented mindset.
- Excellent communication and stakeholder management capabilities.
Accenture is a global professional services firm that helps companies navigate technology-driven change. It offers strategies and services across consulting, digital, technology, and operations, with a strong emphasis on cloud, artificial intelligence, security, and enterprise reinvention. Accenture works by delivering end-to-end solutions, combining advisory work with implementation, technology platforms, and managed services to transform how organizations operate and compete in today’s digital world. The company differentiates itself through its long history as a dedicated tech-advisory arm that gained independence in 2001, its scale, and its active acquisitions—particularly since 2013—to expand capabilities in digital, cloud, and security. Its goal is to help the world’s largest corporations rethink and reshape their operations to stay ahead of rapid technological shifts.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
Simplify's Take
What believers are saying
- NVIDIA Inception partnership accelerates AI startups to enterprise scale.
- Google Cloud Gemini program delivers pre-built AI agents for clients.
- Federal Services secures $5.3B VA and weather contracts through 2030.
What critics are saying
- ServiceNow partnership embeds engineers, capturing Accenture's implementation work.
- Google Cloud accesses Accenture's AI agents, commoditizing proprietary IP.
- Portfolio startups compete directly, eroding core consulting revenues by 2028.
What makes Accenture unique
- Accenture Ventures deploys 5 I’s of Innovation lifecycle for 50,000 startups.
- Accenture Ventures manages $250M fund with 70+ AI, SaaS investments.
- Accenture Ventures Tech Next Challenge spotlights Autonomous AI startups.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Oakmark Fund highlighted Accenture in its first-quarter 2026 investor letter, identifying the professional services company as undervalued despite strong fundamentals. The fund outperformed the S&P 500 Index, returning -2.47% versus -4.33% for the index. Accenture, a global leader in consulting and IT services, is nearly three times larger than its next three public competitors combined. The company's top 300 clients spend over $100 million annually, and it is positioned to benefit from enterprise cloud transition and growing technology spending. Despite these strengths, Accenture trades at its lowest price-to-earnings multiple since 2015 due to AI disruption concerns. The stock closed at $191.95 on 13 April 2026, with a market capitalisation of $117.75 billion. Seventy-one hedge funds held positions in the company at the end of Q4.
Accenture and Google Cloud have launched a Sovereign Centre in Brussels to help European governments and regulated sectors adopt AI whilst maintaining data control and regulatory compliance. The facility features Google Distributed Cloud air-gapped technology for organisations with strict sovereignty requirements. The centre enables organisations to design and validate AI solutions in secure environments, modernise legacy systems, and develop workforce skills. It provides a collaborative space for independent software vendors and partners to create proofs of concept and co-innovate on sovereign cloud applications. The launch follows growing European efforts to reduce dependence on non-European technology platforms. Recent initiatives include France's Visio videoconferencing tool and Germany's openDesk suite, whilst a coalition of European tech players recently launched Euro-Office as an open-source alternative to Microsoft's productivity suite.
Accenture Federal Services, a subsidiary of Accenture plc, has secured significant government contracts that strengthen the company's long-term growth prospects, according to UBS analyst Kevin McVeigh, who maintained a Buy rating with a $320 price target. AFS generated approximately $5.3 billion in fiscal year 2025, representing 8% of Accenture's total revenue. The unit recently won a 4.5-year contract with the US Department of Veterans Affairs to modernise electronic health records for over 9 million veterans, alongside a separate contract to upgrade the National Weather Service's weather system. McVeigh noted these multi-year contracts provide visibility as AFS recovers from recent budget pressures and government spending cuts. The subsidiary employs around 15,000 people and focuses on mission-critical technology solutions for US government agencies.
Accenture has acquired Keepler Data Tech, a Spanish cloud-native AI and data company founded in 2018, to expand its AI and data capabilities in Spain and beyond. Financial terms were not disclosed. Keepler offers end-to-end AI and data services, from strategy and cloud-native data foundations to advanced analytics and agentic AI deployment. The company focuses on industrialised delivery, ethics and compliance to help organisations modernise data architecture and implement DataOps and MLOps at scale. More than 240 Keepler professionals, including technical architects, data scientists and software engineers, will join Accenture. The company has offices in Madrid, London and Lisbon. The acquisition follows Accenture's recent purchases of AI companies including Faculty, Decho, RANGR Data, NeuraFlash and Halfspace as part of its ongoing investment in AI capabilities.
Accenture has raised $120 million in a Series C round led by Ribbit Capital, valuing the company at $1.45 billion. Sequoia and Kleiner Perkins participated, with Emerson Collective joining as a new backer. The pre-revenue company is developing "Mathematical Superintelligence", focused on advanced reasoning that eliminates AI hallucinations by requiring outputs in Lean4 programming language for verification. Its Aristotle model achieved top performance at the International Mathematical Olympiad in July. Founded in 2023, Harmonic has raised $295 million across three rounds in 14 months. The company offers Aristotle via free API and plans to commercialise in safety-critical industries like aerospace and finance, where mistakes carry severe consequences.