Data and Analytics Engineering

PwC
Hartford, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 212K

Job location

Hartford, United States of America

Tech stack

Training Data
Artificial Intelligence
Data analysis
Big Data
Information Systems
Computer Engineering
Data Files
Data Infrastructure
Data Visualization
Decision Support Systems
Machine Learning
Software Engineering
Data Processing
Information Technology

Job description

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

The Opportunity

As part of the Data and Analytics Engineering team you will lead the development of innovative

AI solutions that drive remarkable client outcomes. As a Manager you will supervise, develop,

and coach teams while managing client service accounts, securing the delivery of quality results

that meet and exceed expectations. This role offers the chance to cultivate powerful client

relationships and drive continuous improvement initiatives, all while embracing technology and

innovation to enhance project delivery.

Responsibilities

  • Manage client accounts and secure the delivery of exceptional results
  • Foster sturdy relationships with clients to understand their needs
  • Analyze complex data sets to derive actionable insights
  • Confirm adherence to quality standards and established practices in deliverables

Requirements

What You Must Have

  • High School Diploma
  • At least 4 years of experience

What Sets You Apart

  • Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer

Science, Software Engineering, Artificial Intelligence and Robotics preferred

  • Demonstrating exceptional team leadership abilities
  • Managing client service accounts to deliver exceptional outcomes
  • Fostering a collaborative environment for innovation
  • Analyzing complex data sets for actionable insights
  • Implementing industry standards for project management
  • Cultivating relationships with clients to understand needs
  • Driving continuous improvement initiatives within teams
  • Understanding production-grade quality gates and monitoring, Analysis Skills, Artificial Intelligence (AI), Budget Management, Business Growth, Coaching, Computer Engineering, Computer Science, Continuous Improvement, Customer Relations, Customer Service Management, Data Analysis, Data Processing, Data Science, Data Sets, Data Visualization, Engineering Management, Genetics, High School Diploma, Industry Standards, Information Technology & Information Systems, Leadership, Machine Learning, Mentoring, Needs Assessment, Performance Management, Predictive Modeling, Problem Solving Skills, Process Improvement, Project/Program Management, Quality Metrics, Quality Monitoring, Robotics, Sales Management, Software Engineering, Statistics, Team Lead/Manager, Team Player, Training Data Sets, Willing to Travel

Benefits & conditions

The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

About the company

PwC provides services to 420 out of 500 Fortune 500 companies. The firm was formed in 1998 by a merger between Coopers & Lybrand and Price Waterhouse.

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