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Entry Level Data Scientist Machine Learning Jobs in Kentucky

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

$140 - $210/hr

Collaborate with software engineers, data scientists, and product teams to integrate AI solutions ... machine learning applications. Job Requirements: Requires a Master's degree in Computational ...

$100 - $157/hr

As an Energy Data Scientist you will work closely with other data scientists and analytics ... You will write production-level code, prototype new data products, and apply machine learning ...

New

$147.40 - $272.10/hr

We are seeking a Senior Machine Learning & Data Scientist to help with quantitative analysis of high dimensional data to draw insights that would impact hundreds of millions of users. If the idea of ...

$150 - $210/hr

If you have worked as an Applied Scientist, Product Data Scientist, Quantitative Analyst, or Machine Learning Analyst, this is that discipline at Zof AI. The ideal candidate is fluent in Python and ...

$177 - $201/hr

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ... Build machine learning models through all phases of development, from design through training ...

$120 - $180/hr

BT-388- Data Scientist Skill Level- Subject Matter Expert Location: McLean, VA (fully on-site, no ... Demonstrated experience creating machine learning models that conduct text classification and topic ...

Senior Data Scientist (SMTS)

Bellevue, KY · On-site

$148.50 - $223.90/hr

## Senior Data Scientist (SMTS)Applyremote type: Office - Flexiblelocations: Washington - Bellevue ... We leverage AI, machine learning, and contemporary data techniques to advance behavior- and ...

$96 - $139/hr

Typically requires a minimum of two years of hands‑on industry experience in machine learning, computer vision, data science, or a related field Responsibilities Develop practical, scalable, and ...

$140 - $190/hr

Working alongside data scientists, software engineers, and DevOps engineers, you'll develop machine learning models, custom analytics, and mission‑critical solutions applied to image, video, text ...

$60 - $90/hr

USA Computer Science Machine Learning Others About this opportunity The Applied Data Fellowship (ADF) at the University of Chicago Harris School of Public Policy is a high-impact program that embeds ...

$83 - $133/hr

The Data Scientist II is responsible for designing and validating predictive models, machine learning models, and artificial intelligence that inform and improve business processes across the ...

$90 - $130/hr

Minimum of 1 to 2 years of experience in data science, analytics, machine learning, or related technical fields. Bluehawk, LLC. is an Equal Opportunity/Affirmative Action Employer/EOE Minority/Female ...

$120 - $150/hr

Apply advanced statistical methods and machine learning techniques to solve complex business ... Proven experience as a Data Scientist in a fast-paced and data-driven environment. * Expertise in ...

$110 - $170/hr

DevTech seeks a Data Scientist to work as an institutional contractor on its Analytics, Data ... Support predictive analytics or light machine-learning workflows where appropriate; * Maintain ...

$177 - $201/hr

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of ... Build machine learning models through all phases of development, from design through training ...

New

$126 - $200/hr

Statistical Modeling and Machine Learning techniques, including Network Analysis, Natural Language ... SQL and Big Data Processing and Analysis. * Python or R and numerical and scientific libraries used ...

$158 - $193/hr

Collaborate with data scientists and data engineers to design and implement scalable and efficient machine learning pipelines; * Evaluate and optimize machine learning models for performance and ...

Showing results 21-40

Entry Level Data Scientist Machine Learning information

What is an entry level data scientist machine learning?

Entry level data scientist machine learning jobs are positions for individuals who are new to the field of data science and machine learning. These roles typically focus on working with data, building and testing machine learning models, and supporting more experienced data scientists. Entry level professionals may clean and analyze data, implement basic algorithms, and help interpret results to inform business decisions. These jobs often require proficiency in programming languages like Python or R, foundational knowledge of statistics, and some experience with machine learning libraries.

What are the key skills and qualifications needed to thrive as an entry level data scientist machine learning?

To thrive as an Entry Level Data Scientist in Machine Learning, you need a solid background in statistics, programming (Python or R), and foundational machine learning concepts, typically supported by a relevant degree in computer science, data science, or a related field. Familiarity with tools and libraries such as scikit-learn, TensorFlow, Pandas, and SQL, as well as experience with data visualization platforms, is highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly set candidates apart. These skills are essential for effectively analyzing data, building predictive models, and translating complex results into actionable business insights.

What are some common challenges faced by entry level data scientists working with machine learning models?

Entry-level data scientists often encounter challenges such as cleaning and preparing messy or incomplete datasets, selecting appropriate algorithms for specific problems, and tuning model parameters to achieve optimal performance. In addition, they may need to clearly communicate technical findings to non-technical stakeholders and collaborate closely with team members from engineering, product, and business departments. Gaining experience in version control, reproducibility, and model deployment are also important steps in mastering the end-to-end machine learning workflow.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Kentucky?

The most popular types of Data Scientist Machine Learning jobs in Kentucky are:

What are popular job titles related to Entry Level Data Scientist Machine Learning jobs in Kentucky?

For Entry Level Data Scientist Machine Learning jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Entry Level Data Scientist Machine Learning jobs?

Cities in Kentucky with the most Entry Level Data Scientist Machine Learning job openings:

AI & GenAI Data Scientist - Manager

Pwc

Louisville, KY

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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Benefits

Hours and flexibility

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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