Job Summary:

• Be involved in the design and development of data science projects for PwC and its clients 
• Support senior management with project proposals and developing new business opportunities 
• Participating in constant learning through training and skills development to grow the understanding of Data Science/AI concepts 
• Contributing to the strategy and growth of a fast-developing data science capability 
• Craft and communicate compelling business stories 
• Presenting findings to senior internal and external stakeholders 
• Establish effective working relationships directly with clients and internal PwC teams 
• Be ambitious to build Data Science and AI capabilities that deliver lasting impact
• Supervise teams of students during their final Data Science projects
• Write data science articles in blogs and social media
• Occasionally improve teaching materials, create new courses and exercises

Skills on Resume:

• Project Design (Hard Skills)
• Business Development (Hard Skills)
• Skills Development (Hard Skills)
• Strategic Contribution (Hard Skills)
• Storytelling Skills (Soft Skills)
• Presentation Skills (Soft Skills)
• Client Relationships (Soft Skills)
• Team Supervision (Soft Skills)

Job Summary:

• Perform Data Modeling and transformation work to stage, store and facilitate the consumption of accounting, employee timekeeping and customer datasets utilizing BI tools such as QLIK sense.
• Clean the data in the Data Lakes to make it usable and readable.
• Perform data discovery to find patterns and distribution in a given dataset.
• Apply Machine Learning algorithms to come up with predictive and prescriptive metrics that help the business grow.
• Find correlations between data and business driving factors.
• Collaborate with business and IT stakeholders to ensure successful delivery of these integrations.
• Select features in a dataset to feed different machine learning algorithms for cases like outlier detection, inventory optimization, etc.
• Engineer and implement solutions in different environments using different programming languages and environments.
• Teach various Data Science topics in Bootcamps and Corporate Training
• Consult companies by structuring final projects with clear milestones and goals

Skills on Resume:

• Data Modeling (Hard Skills)
• Data Cleaning (Hard Skills)
• Data Discovery (Hard Skills)
• Machine Learning (Hard Skills)
• Data Correlation (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Feature Selection (Hard Skills)
• Training and Consulting (Soft Skills)

Job Summary:

• Develop natural language processing models to identify climate change disclosures in annual reports for a major regulatory body
• Identify and develop assets from new research (e.g. privacy preserving machine learning) in order to develop a new proposition for handling sensitive client data
• Research and develop machine learning assets for a voice analytics platform that analyses conversations in the Financial Services sector
• Create an algorithm to automate a core manual process (staff resourcing) that scales across 1000s of staff an entire line of service using optimisation
• Work with clients to use machine learning in identifying anomalous financial transactions, improving quality and reducing risks
• Lead and be accountable for the delivery of core data science assets (such as SaaS platforms) in client facing settings
• Lead in developing strategic data science engagements with key clients and lines of business to form & execute the next development of pipeline opportunities
• Support PwC’s growth accelerator pipelines
• Lead the implementation of modern artificial intelligence and data science techniques and tools, to support data science teams to build and deliver artificial intelligence and machine learning solutions.
• Define and build the set of data science and artificial intelligence capabilities and enterprise services that can be applied and re-used by multiple Marketing data science teams.
• Establish scalable, efficient, automated processes for large scale feature engineering, model development, model validation and deployment to production.
• Work with internal stakeholders and users to validate business and user needs, translating them into user-centric product roadmaps that address the top Data Science opportunities.

Skills on Resume:

• Natural Language Processing (Hard Skills)
• Machine Learning Development (Hard Skills)
• Voice Analytics (Hard Skills)
• Process Automation (Hard Skills)
• Anomaly Detection (Hard Skills)
• Strategic Engagement (Soft Skills)
• AI Implementation (Hard Skills)
• User-Centric Roadmaps (Soft Skills)

Job Summary:

• Deliver transformative solutions to clients that are aligned with industry best practices and provide thought leadership in the data space.
• Collaborate and enable business stakeholders with self-service analytics.
• Conduct and support white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations.
• Design, build, maintain models for time-series forecasting to support operational decision-making and financial planning
• Develop and apply advanced statistical techniques to deliver actionable business insights based on large-scale data
• Manage the design and testing of new analytical technologies and the development of new algorithms/functions by partnering with business stakeholders
• Collaborate with data engineers to manage data sources and model output
• Serve as subject-matter expert in presentations to internal customers
• Designing and developing data science projects for the organization and its clients
• Supporting senior management with project proposals and developing new business opportunities
• Participating in constant learning through training and skills development to grow understanding of Data Science/AI concepts
• Presenting findings to senior internal and external stakeholders

Skills on Resume:

• Transformative Solutions (Hard Skills)
• Self-Service Analytics (Hard Skills)
• Client Collaboration (Soft Skills)
• Time-Series Forecasting (Hard Skills)
• Statistical Techniques (Hard Skills)
• Analytical Technologies (Hard Skills)
• Subject-Matter Expertise (Soft Skills)
• Project Development (Hard Skills)

Job Summary:

• Consult with clients on the development, prioritization and implementation of process improvement and impact evaluations tasks.
• Develop recommendations for changes to policy, processes, communications and training to enable achievement of vision.
• Develop and implement research designs with practical strategies for measuring performance of organizational units and/or unit activities to include development of performance measures and design of actionable methods for collecting and analyzing data, and implement strategies and refine 
• Perform a variety of research activities to include document reviews, structured interviews, and gap analyses, and involves stakeholder identification and logistical coordination for data collection activities and documentation of discussions.
• Analyze both qualitative and quantitative information to provide customers with comprehensive insights into organizational strengths and challenge areas.
• Prepare visual presentations of data and analysis.
• Prepare reports and presentations for senior leadership based on research plans, activities, findings and recommendations.
• Brief senior level customers on research plans, activities, findings and recommendations.
• Detecting hiding patterns, identifying trends, and foreseeing developments.
• Cooperating with the research community to plan and develop data-driven projects.
• Collecting and analyzing the data from different sources.
• Using statistical and Machine Learning methods to bring solutions to clients.

Skills on Resume:

• Process Improvement (Hard Skills)
• Policy Development (Hard Skills)
• Research Design (Hard Skills)
• Data Analysis (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Visual Presentations (Hard Skills)
• Report Preparation (Hard Skills)
• Machine Learning Solutions (Hard Skills)