Senior Manager - Data Science @ Phoenix Global Re

Job Description

A career in our Advisory Acceleration Centre is the natural extension of PwC s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.

We are looking for experienced leaders with a strong analytical background (and overall professional experience of 12+ years) to work in our Analytics Consulting practice in Mumbai, Bangalore. Work location assignment is flexible.

Senior Managers will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams.

Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informatics

Required Skills: Successful candidates will have demonstrated the following skills and characteristics:

Must have

• Experience in managing, building and deploying ML models in cloud environments and ability to converse with client teams on cloud technologies.

• Solid knowledge and experience of supervised, unsupervised machine learning algorithms such as classifiers. For e.g: classifiers, cluster analysis, dimension reduction, regression etc.

• Good knowledge of statistics For e.g: statistical tests & distributions

• Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases

• Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib)

• Advanced level programming in SQL and Python/Pyspark to guide teams

• Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc.

Nice to have:

• Working knowledge of containerization ( e.g. AWS EKS, Kubernetes), Dockers and data pipeline orchestration (e.g. Airflow)

• Experience with model explainability and interpretability techniques

• Multi-task and manage multiple deadlines. Responsible for incorporating client/user feedback into the Product

• Ability to think through complex user scenarios and design simple yet effective user interactions

• Good Communication and presentation skills

Roles and Responsibilities:

Leadership :

• Help Analytics Insights Practice make a bigger impact in Firm s overall positioning in the market

• Work closely with Analytics Insights Practice leadership in leading the team and develop capabilities

Sales :

• Work closely with Practice leadership and clients to build proposals, RFP and accounting for budgetary plans.

Project Delivery and Management :

• Manage communication and project delivery between India and US teams

• Manage client proposals, presentations, and act as subject matter expert on analytics discussions

• Structure the approach and deliverables for multiple analytics engagements simultaneously Manage team members proactively

• Help junior members develop the analytics path to align with overall project objective

• And mentor juniors and team members on analytics and project delivery best practices

• Help assess the impact of work, and conduct so-what analysis.

• Develop storylines and make presentations

Firm Building & Intellectual Capital Development :

• Contribute to research, white papers, blog, and other IC development activities

Subject Matter Expert :

• Keep abreast of market developments, identify growth opportunities

• Help Partners/Directors across the firm in selling analytics projects by acting as a subject matter expert on business development initiative

Employement Category:

Employement Type: Full time
Industry: Banking / Financial Services
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Senior Manager - Data Science

Contact Details:

Company: PricewaterhouseCoopers
Location(s): Bengaluru

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Keyskills:   data cleansing data analysis user scenarios