Analytics jobs Mumbai

Setup the analytics and digital transformation frameworks to help organisation with their transformation goals with a specific focus on Manufacturing and Supply chain.

The 'SVP Platform Analytics and Surveillance Operations' will lead the technology department within the investment banking division and drive strategic tech initiatives.

Leadership role in overseeing the company's analytics function. This individual will be responsible for developing and executing the data strategy, utilising advanced analytics and machine learning techniques to derive actionable insights that drive key business decisions and enhance product offerings. The role demands a combination of strategic thinking, technical expertise, and the ability to guide teams in leveraging data

As a Lead Tech Delivery Manager, you will oversee the design, management, and delivery of organisational data platforms. Collaborate with a skilled data team, contribute to projects, architecture, and strategy, and optimise existing solutions through automation and streamlined processes.

Build the AI capability from scratch.

Work with the Chief AI Officer for the strategic decisions for the organisation.

The Director (AI) will lead the Artificial Intelligence team, shaping the company's vision for AI integration within Mixed Reality (MR) experiences. He/She will be responsible for building a high-performing team, defining the AI strategy, and driving the development and implementation of AI solutions across its product portfolio.

Responsible for designing, developing, and maintaining robust Data Engineering solutions that provide actionable insights to various stakeholders in the commercial organization

• Design & develop business intelligence (BI) dashboard & reports for Finance & Operations
  function.
• Develop & maintain complex financial models and forecasts using Power BI.
• Translate business needs into technical specifications and design Power BI dashboards &
  reports.

Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics

Looking for someone responsible for advancing analytics opportunities in the BFSI* sector, managing project delivery, people, and stakeholders. The ideal candidate will have a strong background in advanced analytics and experience in leading high-impact analytics solutions and programs with Indian clients.

<ul><li>Independent and self-driven in achieving sales targets in a given territory/set of named accounts. Smart and market savvy who knows the fundamentals of funnel creation, management, and closure.</li><li>Should have knowledge about technology services sales - ai/analytics/cybersecurity</li><li>Should be currently handling a portfolio of overall new logo acquisition</li></ul>

Oversee the HR PMO focusing on HR projects, talent management, HR dashboard, analytics.

This role needs specializing in machine learning or a related field having 4+ years' experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning Responsibilities

• Develop predictive models using supervised and unsupervised machine learning/deep learning
• Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection
• Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets
• Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development teams
• A self-starter who can align the technology solution with a business goal Qualifications
• 3+ years' experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning
• Strong hands-on expertise in Python and open source libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, anaconda, transformers, etc.
• Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch
• Experience in applying deep learning to NLP
• Computer vision modeling a plus
• Experience with designing, building, and optimizing data and model training pipelines
• Experience in SageMaker or Azure ML Studio a plus
• Experience with cloud-based platforms (AWS or Azure) for solution delivery
• Experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence, Git) and Test-Driven Development (TDD)