Technology & Analytics- Data Scientist- Manager
Apply NowCompany: PWC
Location: New York, NY 10025
Description:
Industry/Sector
Banking and Capital Markets
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
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:
The Opportunity
As part of the Data and Analytics team you are expected to lead, train, and work with other data scientists in designing practical analytical approaches. As a Manager you are expected to lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are expected to be responsible for maintaining project success and upholding rigorous standards, utilizing your knowledge of ETL tools and techniques, and applying analytical methods to large datasets.
Responsibilities
- Lead and train data scientists in designing analytical approaches
- Manage client accounts and confirm successful project delivery
- Mentor junior staff and foster their professional growth
- Utilize ETL tools and techniques effectively
- Apply analytical methods to large datasets
- Develop strategic plans to meet client needs
- Maintain top standards and quality in deliverables
What You Must Have
- Bachelor's Degree
- 5 years of experience
- Bachelor's degree or in lieu of a degree, demonstrating three years of specialized training and/or progressively responsible work experience in technology for each missing year of college.
What Sets You Apart
- Cloud Foundational certification (AWS, Azure, GCP)
- Leading, training and working with other data scientists
- Managing stakeholders relationships related to various projects
- Understanding of ETL tools and techniques
- Performing in Agile delivery, team-based work
- Applying statistical modeling, algorithms, data mining and machine learning
- Possessing a track record of delivery within large scale projects
- Manipulating and analyzing complex, large-scale data
- Exhibiting proven ability with NLP and text based extraction techniques
Travel Requirements
Up to 40%
Job Posting End Date
Learn more about how we work: https://pwc.to/how-we-work
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.
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.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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
Banking and Capital Markets
Specialism
Data, Analytics & AI
Management Level
Manager
Job Description & Summary
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
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 team you are expected to lead, train, and work with other data scientists in designing practical analytical approaches. As a Manager you are expected to lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are expected to be responsible for maintaining project success and upholding rigorous standards, utilizing your knowledge of ETL tools and techniques, and applying analytical methods to large datasets.
Responsibilities
- Lead and train data scientists in designing analytical approaches
- Manage client accounts and confirm successful project delivery
- Mentor junior staff and foster their professional growth
- Utilize ETL tools and techniques effectively
- Apply analytical methods to large datasets
- Develop strategic plans to meet client needs
- Maintain top standards and quality in deliverables
What You Must Have
- Bachelor's Degree
- 5 years of experience
- Bachelor's degree or in lieu of a degree, demonstrating three years of specialized training and/or progressively responsible work experience in technology for each missing year of college.
What Sets You Apart
- Cloud Foundational certification (AWS, Azure, GCP)
- Leading, training and working with other data scientists
- Managing stakeholders relationships related to various projects
- Understanding of ETL tools and techniques
- Performing in Agile delivery, team-based work
- Applying statistical modeling, algorithms, data mining and machine learning
- Possessing a track record of delivery within large scale projects
- Manipulating and analyzing complex, large-scale data
- Exhibiting proven ability with NLP and text based extraction techniques
Travel Requirements
Up to 40%
Job Posting End Date
Learn more about how we work: https://pwc.to/how-we-work
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.
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.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. 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