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Entrylevel Ai Data Labeling Jobs in Massachusetts

... an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entrylevel Ai Data Labeling information

What is the difference between Entrylevel Ai Data Labeling vs Data Annotation Specialist?

AspectEntrylevel Ai Data LabelingData Annotation Specialist
CredentialsBasic computer skills, no formal certification often requiredSimilar; basic skills, sometimes certifications in data management
Work EnvironmentRemote or on-site, repetitive tasksRemote or on-site, similar repetitive tasks
Industry UsageCommon in AI/ML companies, tech startupsUsed across tech, healthcare, automotive industries

Both roles involve labeling data for AI training, often requiring similar skills and work environments. The main difference lies in terminology; 'Data Annotation Specialist' may imply a broader scope or more specialized tasks, but both are entry-level roles focused on preparing data for machine learning models.

What are popular job titles related to Entrylevel Ai Data Labeling jobs in Massachusetts?

For Entrylevel Ai Data Labeling jobs in Massachusetts, the most frequently searched job titles are:

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The top searched job categories for Entrylevel Ai Data Labeling jobs in Massachusetts are:

What cities in Massachusetts are hiring for Entrylevel Ai Data Labeling jobs?

Cities in Massachusetts with the most Entrylevel Ai Data Labeling job openings:

AIT - AI Data Scientist Senior Associate

Pwc

Boston, MA • On-site

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on building meaningful client connections, navigating complex situations, and growing your personal brand. You will be expected to anticipate the needs of your teams and clients, delivering quality solutions while embracing ambiguity and using these moments as opportunities to grow.
In this role at PwC, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while maintaining professional and technical standards. This position offers a chance to deepen your understanding of the business context and how it is evolving, as well as to develop self-awareness and address development areas. You will interpret data to inform insights and recommendations, contributing to the firm's overall business strategies.
Responsibilities
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Conducting exploratory and descriptive analysis to inform strategic decision-making
- Utilizing machine learning algorithms and predictive modeling to solve complex business problems
- Creating data visualizations to effectively communicate insights and drive data-driven decisions
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Managing data pipelines and confirming data quality and integrity throughout the analysis process
- Applying data science workflows and troubleshooting techniques to optimize performance
- Engaging in continuous learning to deepen technical skills and adapt to emerging technologies
- Mentoring junior team members and fostering a collaborative team environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

- Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
- Utilizes Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Leveraging experience with data engineering and data pipelines
- Applying knowledge of natural language processing and neural networks
- Navigating ambiguity while building meaningful client relationships

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. 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-glanceAs PwC is anequal 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-workFor 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.

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Benefits

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Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK