Director _ Advanced Analytics _D&A_Advisory

• The role will be centered around Financial services domain. A successful candidate is expected to work proactively and effectively on multiple client engagements and take ownership of the entire project delivery. This includes having project management skills, technical and/or functional expertise, and commitment to comply with the PwC delivery quality expectation.
• Further, this role requires a candidate with strong interpersonal skills, who not only enjoys the challenge of working with other teams but externally with a variety of clients as well. Strong personal and professional presence and selfconfidence, capable of working effectively with senior team as well as all other levels.
• The candidate will be required to showcase excellent communication skills and will have demonstrated consistently the skill and capability in delivering impactful and insightful projects in the past. He/she will also be required to participate in client meetings, understand the business needs and then design end to end machine learning and analytics solutions to fulfill those business needs.
• They will also be expected to contribute to practice or Firm development. This may be adjudged in various ways such as serving as a mentor to other team members, by leading training/development initiatives, contributing to thought leadership papers, and developing reusable assets.
• Detailed role and responsibilities are provided below
• Roles and Responsibilities
• Develop, Review and implement Solutions applying advanced analytics techniques including but not restricted to Machine Learning, Deep Learning, AI, NLP and Visualization
• Troubleshoot, isolate and remediate model errors.
• Work on and manage large to midsize projects, and ensure smooth service delivery on assigned products, engagements and/or geographies.
• Work with project leaders to analyse resource needs and gaps and devise alternative ways forward.
• Provide expert reviews for all projects within the assigned subject
• Ability to lead business development initiatives including responding to RFPs, preparation and delivery of client presentations with the objective of sales and business development.
• Ability to manage cross functional teams and mentor junior team members
• Understanding of statistical methods to enable appropriate interpretation of results
• Experience analyzing programs through the lens of client requirements and design optimal solutions for fulfilling those requirements.
• Conceptual thinking and ability to find innovative ways to solve analytical problems
• Should have worked on multiple analytics consulting and implementation projects

Skills & Qualifications Required

• Minimum 810 years of experience in advanced analytics and machine learning space with at least 46 years of experience in financial services.
• Advanced understanding and handson experience in SQL and at least one of R or Python. Basic exposure to other statistical packages such as R, Python and SAS.
• Deep understanding of predictive algorithms such as logistic regression, linear regression, decision trees, random forest, xgboost, SVM etc. and clustering algorithms such as kmeans, k nearest neighbour, hierarchical etc.
• Hands on experience in NLP and deep understanding of text analytics algorithms and modelling workflow
• Good knowledge of neural networks, deep learning, RNN, CNN, LSTM etc,
• Working knowledge of big data environment setups such as Spark, PySpark, Hive, Hadoop etc.
• Advanced understanding of Cloud (AWS, Azure, etc.) and good exposure to Azure/AWS machine learning workbench and MLOps workflow.
• Excellent verbal and written communication skills.
• Experienced in creating power point presentations, dashboards, solving complicated client problems and communicating the precise insights.
• Strong organizational skills & the ability to prioritize and work on projects with great efficiency & attention to the details.
• Minimum qualification B.E; MBA is preferred (with at least 5 years of exp. post MBA)

Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Advanced Analytics Up to 60% No No