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Full Time Nlp Coach Jobs (NOW HIRING)

The anticipated annual base salary range for this full-time position is $143,000 to 197,000. The ... Lyra for Lyrians; coaching and therapy services *Equity in the company through discretionary ...

The anticipated annual base salary range for this full-time position is $143,000 to 197,000. The ... Lyra for Lyrians; coaching and therapy services *Equity in the company through discretionary ...

Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI ... This role is 5 days a week full time in office. Chase is a leading financial services firm, helping ...

Familiarity with AI solution design (Generative AI, NLP, RAG, LLMOps) * Prior sales or pre-sales ... Peer Mentorship & Coaching - Learn from experienced engineers, product managers, and architects to ...

Familiarity with AI solution design (Generative AI, NLP, RAG, LLMOps) * Prior sales or pre-sales ... Peer Mentorship & Coaching - Learn from experienced engineers, product managers, and architects to ...

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Full Time Nlp Coach information

What is the difference between Full Time Nlp Coach vs Nlp Practitioner?

AspectFull Time Nlp CoachNlp Practitioner
CertificationsCertified NLP Coach, Practitioner certificationBasic NLP Practitioner certification
Work EnvironmentFull-time coaching roles, private clients, corporate settingsTraining sessions, workshops, personal development
Employer & IndustryCoaching firms, corporate training, wellness centersTraining institutes, personal development industry

Full Time Nlp Coaches typically hold advanced certifications and work in coaching roles with clients or organizations, often on a full-time basis. Nlp Practitioners usually have foundational certifications and focus on delivering NLP training or workshops. The main difference lies in the level of certification, scope of work, and employment setting.

More about Full Time Nlp Coach jobs
What are the most commonly searched types of Nlp Coach jobs? The most popular types of Nlp Coach jobs are:
What job categories do people searching Full Time Nlp Coach jobs look for? The top searched job categories for Full Time Nlp Coach jobs are:
Infographic showing various Full Time Nlp Coach job openings in the United States as of August 2026, with employment types broken down into 42% Full Time, 57% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

WFP Lead Data Scientist - Vice President

JPMorgan Chase & Co.

Plano, TX • On-site

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description


The Workforce Planning (WFP) organization is a part of Consumer and Community (CCB) Operations division. The WFP Data Science organization is tasked with delivering quantitatively driven solutions to support the core WFP functions (demand forecasting, capacity planning, resource scheduling, and business analysis & support). The WFP organization supports Chase's call centers, back office, and ~5,200 retail branches.
As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in projects by the Artificial Intelligence(AI)/Machine Learning(ML) team that can be complex, data intensive, and of a high level of difficulty, each having significant impact on the business. You will typically encounter these problems which will be of an unstructured nature, whereby the employee will be expected to quickly assess and comprehend the situation then develop a practical problem solving strategy. You will be expected to analyze the topic in question, develop solution proposals and review their results and next steps with management for prioritization, timing, and delivery. The AI/ML team is tasked with building next-gen data science solutions that move us closer to real-time inference and decision making.
Job Responsibilities
  • Design and development of Machine Learning, Artificial Intelligence and Statistical models.
  • Participate in the full model development lifecycle, from framing the problem to prepare documentation and passing independent model review (MRGR).
  • Lead AI/ML projects along with mentor and coach junior team members.
  • Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
  • Identify and select the correct method to solve the problem while staying up to data on the latest AI/ML research
  • Ensure the robustness of any data science solution.
  • Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.
  • Lead and persuade others while positively influencing the outcome of team efforts and help frame a business problem into a technical problem resulting in a feasible solution.

Required Qualifications, Capabilities, and Skills
  • Master's Degree with 5+ years or Doctorate (PhD) with 3+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
  • 2+ years of experience leading AI/ML projects with multiple team members
  • Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
  • Deep understanding of math and theory behind AI/ML algorithms.
  • Proficient in data science programming languages like Python, R or Scala.
  • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence.

Preferred Qualifications, Capabilities, and Skills
  • Advanced expertise with Time Series and Operations Research techniques.
  • Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
  • Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).
  • Previous experience leading highly complex cross-functional technical projects with multiple stakeholders

This position is full time in office Monday - Friday. This position is not hybrid nor remote.
About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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