data science team lead

Finaira

<div>The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.
The difference you will make:<ul><li>
Define the technical data science strategy and roadmap.</li><li>
Lead the research and development of cutting-edge AI solutions.</li><li>
Evaluate and implement new data science technologies and platforms.</li><li>
Provide technical leadership and guidance to the data science team.</li><li>
Ensure the scalability and reliability of data science infrastructure.</li></ul> 

Requirements 
Education:
<ul><li>Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.</li></ul>
Experience:<ul><li>
8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.</li><li>
Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
</li><li>Proven experience in leading and mentoring data science teams.
</li><li>A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)</li></ul>
Technical Skills:
<ul><li>Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.</li><li>
Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.</li><li>
Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.</li><li>
Deep understanding of Data and AI governance frameworks and requirements.
</li><li>Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
</li><li>Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.</li><li>
Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
</li><li>Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
</li><li>Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
</li><li>Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.</li></ul>
Soft Skills:<ul><li>
Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently, collaborate effectively and mentor junior team members.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</div>

Principal Data Scientist

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Senior Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
 
Job Summary: 
We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
Responsibilities: 
Machine Learning & NLP Development
 <ul>
<li>Design and develop end-to-end machine learning models, with a strong focus on NLP applications</li>
<li>Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases</li>
<li>Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras</li>
<li>Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions</li>
<li>Develop and optimize transformer-based models for summarization, Q&A, and document intelligence tasks</li>
<li>Evaluate and optimize prompt engineering strategies and context efficiency</li>
</ul>
Data Engineering & Pipelines
 <ul>
<li>Develop data pipelines using tools such as Airflow, Spark, or Dataiku</li>
<li>Perform data wrangling and preprocessing using pandas and NumPy</li>
<li>Design and manage feature stores</li>
<li>Integrate and manage vector databases such as Pinecone, FAISS, or Chroma</li>
</ul>
Model Deployment & Production
 <ul>
<li>Build and maintain RESTful APIs for serving ML models in production</li>
<li>Deploy scalable AI services and manage CI/CD pipelines</li>
<li>Monitor model performance, drift detection, and lifecycle management</li>
<li>Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME</li>
</ul>
Statistical & Analytical Expertise
 <ul>
<li>Apply advanced statistics, probability theory, and experimental design</li>
<li>Conduct hypothesis testing and data-driven analysis to support business decisions</li>
</ul>
Collaboration & Integration
 <ul>
<li>Work closely with product and engineering teams to embed AI solutions into production systems</li>
<li>Collaborate with cross-functional stakeholders to deliver scalable AI capabilities</li>
</ul>
Requirements: 
Qualifications: 
<ul>
<li>Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or related field</li>
<li>Minimum 4 years of experience in machine learning and data science roles</li>
<li>Proven track record of delivering production-grade ML and NLP projects</li>
<li>Experience leading small data science teams or technical workstreams</li>
</ul>
Technical Requirements
 <ul>
<li>Strong programming skills in Python and R</li>
<li>Proficiency in ML libraries including Scikit-learn, pandas, and NumPy</li>
<li>Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras</li>
<li>Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers</li>
<li>Strong expertise in transformer architectures and LLM fine-tuning</li>
<li>Experience using LangChain or LlamaIndex for orchestration</li>
<li>Experience deploying ML models via RESTful APIs</li>
<li>Knowledge of model monitoring, explainability, and performance optimization</li>
</ul>
Leadership and Soft Skills
 <ul>
<li>Ability to lead small teams or project workstreams</li>
<li>Strong ownership mindset with focus on quality and delivery timelines</li>
<li>Ensures alignment of technical work with business KPIs</li>
<li>Coaches and mentors mid-level team members</li>
<li>Strong problem-solving and collaboration skills</li>
</ul>
Benefits: 
Benefits & Work Setup
 <ul>
<li>Basic salary</li>
<li>Family Medical Insurance</li>
<li>Round-trip family flight tickets once per year</li>
<li>Visa coverage</li>
<li>Location: Dubai</li>
<li>Work Model: Hybrid – 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client’s premises on a daily basis, depending on the project requirements.</li>
<li>Working Hours: 9 AM to 6 PM</li>
<li>Days Off: Saturdays and Sundays</li>
</ul>

Senior Data Scientist

Bluevine

<div><div>About Bluevine

Bluevine is the largest small business banking platform in the U.S., redefining how entrepreneurs manage their money. We create modern financial solutions, from checking and lending to payments and beyond, designed to help small business owners grow, thrive, and take control of their financial future. Our best-in-class technology, advanced security, and deep understanding of the small business community give our customers the confidence to focus on what they do best.

Since 2013, we've supported more than 750,000 small businesses nationwide. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, our 500+ person global team shares one mission: to give small businesses the financial tools they need to succeed.

We're innovators driven by big ideas, collaboration, and real impact. Here, you'll have the freedom to take ownership, grow your career, and make a difference for small business owners across America. Ready to shape what's next?</div>
This is a hybrid role. At Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline.

About the Role:

We are establishing a pioneering data science team in India and are seeking a highly skilled Data Science Manager to drive our efforts. In this role, you will lead a team of data scientists, guiding their work while also remaining hands-on with advanced data science tasks. You will play a crucial role in developing and implementing sophisticated models, coordinating with the group lead, and ensuring alignment with our strategic goals.

Key Responsibilities:
<ul>
<li>Team Leadership &amp; Development: Lead and mentor a team of 2 individual contributors (ICs), providing guidance on project execution, technical challenges, and professional growth. Foster a collaborative and innovative team environment.</li>
<li>Hands-on Modeling &amp; Analytics: Apply your expertise in advanced statistical, machine learning, and predictive modeling techniques to design, build, and improve decision-making systems. Set the standard for technical excellence within the team.</li>
<li>Project Management: Manage and oversee data science projects from concept to deployment, ensuring timely delivery of high-quality solutions. Allocate resources effectively and prioritize tasks to align with business objectives.</li>
<li>Stakeholder Communication: Serve as the primary point of contact between your team and the group lead. Communicate progress, challenges, and insights clearly and effectively, ensuring alignment with broader organizational goals.</li>
<li>MLOps &amp; System Integration: Lead efforts to maintain and enhance the data science infrastructure, integrating new technologies and practices into our workflows. Ensure that models are robust, scalable, and maintainable.</li>
<li>Strategic Data Collection: Oversee initiatives to develop and implement data collection strategies that support advanced analytics and model development. Ensure that data pipelines are efficient and reliable.</li>
</ul>
What We're Looking For:
<ul>
<li>7+ Years of Experience: A minimum of 7 years of experience in data science, with at least 2 years in a leadership or managerial role. Demonstrated experience in leading teams and delivering complex data-driven solutions.</li>
<li>Expertise in Python: Extensive experience in developing and deploying production-level code in Python, with a deep understanding of machine learning frameworks such as Scikit-learn, PyTorch, TensorFlow, or similar.</li>
<li>Strong SQL and Database Knowledge: Proficiency in working with relational databases, writing optimized SQL queries, and managing large-scale datasets.</li>
<li>Comprehensive ML Lifecycle Experience: Proven ability to manage the entire lifecycle of ML model development, from ideation and experimentation to deployment and monitoring in a production environment.</li>
<li>Analytical &amp; Strategic Thinking: Ability to analyze complex data sets, derive actionable insights, and communicate these insights effectively to both technical and non-technical stakeholders.</li>
<li>Educational Background: A Master's or Ph.D. in Statistics, Computer Science, Engineering, or a related quantitative field is preferred.</li>
<li>Proven Leadership Skills: Demonstrated ability to lead a team, manage multiple priorities, and work effectively across functions and geographies.</li>
</ul>
Bonus Points:
<ul>
<li>Cross-Functional Collaboration: Experience working with Data/MLOps Engineering, Analytics, Business, and Product teams in a collaborative environment.</li>
<li>Domain Specialization: Expertise in areas like fraud detection, credit risk prediction, or graph models and analytics.</li>
<li>MLOps &amp; Cloud Infrastructure: Hands-on experience with MLOps, particularly within the AWS ecosystem, and familiarity with orchestration tools like Apache Airflow.</li>
<li>Experimentation &amp; Impact Analysis: Skilled in designing experiments and analyzing their outcomes to measure the impact and effectiveness of data-driven solutions.</li>
</ul><div>
Benefits &amp; Perks
<ul>
<li>Excellent group health coverage and life insurance</li>
<li>Stock options</li>
<li>Hybrid work model</li>
<li>Meal allowance</li>
<li>Transportation assistance (terms and conditions apply)</li>
<li>Generous paid time off plan, Holidays</li>
<li>Company-sponsored mental health benefits</li>
<li>Financial advisory services for both short- and long-term goals</li>
<li>Learning and development opportunities to support career growth</li>
<li>Community-based volunteering opportunities</li></ul></div></div>

Manager, Data Science

<div>Envision Employment Solutions is currently hiring a Senior Data Scientist for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
Responsibilities:
Machine Learning &amp; NLP Development<ul><li>
Design and develop end-to-end machine learning models, with a strong focus on NLP applications</li><li>
Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases</li><li>
Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras</li><li>
Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions</li><li>
Develop and optimize transformer-based models for summarization, Q&amp;A, and document intelligence tasks</li><li>
Evaluate and optimize prompt engineering strategies and context efficiency</li></ul>
Data Engineering &amp; Pipelines<ul><li>
Develop data pipelines using tools such as Airflow, Spark, or Dataiku</li><li>
Perform data wrangling and preprocessing using pandas and NumPy</li><li>
Design and manage feature stores</li><li>
Integrate and manage vector databases such as Pinecone, FAISS, or Chroma</li></ul>
Model Deployment &amp; Production<ul><li>
Build and maintain RESTful APIs for serving ML models in production</li><li>
Deploy scalable AI services and manage CI/CD pipelines</li><li>
Monitor model performance, drift detection, and lifecycle management</li><li>
Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME</li></ul>
Statistical &amp; Analytical Expertise<ul><li>
Apply advanced statistics, probability theory, and experimental design</li><li>
Conduct hypothesis testing and data-driven analysis to support business decisions</li></ul>
Collaboration &amp; Integration<ul><li>
Work closely with product and engineering teams to embed AI solutions into production systems</li><li>
Collaborate with cross-functional stakeholders to deliver scalable AI capabilities</li></ul> 

Requirements 
Qualifications:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or related field</li><li>
Minimum 4 years of experience in machine learning and data science roles</li><li>
Proven track record of delivering production-grade ML and NLP projects</li><li>
Experience leading small data science teams or technical workstreams</li></ul>
Technical Requirements<ul><li>
Strong programming skills in Python and R</li><li>
Proficiency in ML libraries including Scikit-learn, pandas, and NumPy</li><li>
Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras</li><li>
Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers</li><li>
Strong expertise in transformer architectures and LLM fine-tuning</li><li>
Experience using LangChain or LlamaIndex for orchestration</li><li>
Experience deploying ML models via RESTful APIs</li><li>
Knowledge of model monitoring, explainability, and performance optimization</li></ul>
Leadership and Soft Skills<ul><li>
Ability to lead small teams or project workstreams</li><li>
Strong ownership mindset with focus on quality and delivery timelines</li><li>
Ensures alignment of technical work with business KPIs</li><li>
Coaches and mentors mid-level team members</li><li>
Strong problem-solving and collaboration skills</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary
</li><li>Social insurance</li><li>
Family Medical Insurance (AXA)</li><li>
Location: New Cairo</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM
</li><li>Days Off: Fridays and Saturday</li></ul></div>

Capgemini Engineering

<div>
 
 &bull; Develop strategies/solutions to solve problems in logical yet creative ways, leveraging state-of-the-art machine learning, deep learning and GEN AI techniques.
 
 
 &bull; Technically lead a team of data scientists to produce project deliverables on time and with high quality.
 
 
 &bull; Identify and address client needs in different domains, by analyzing large and complex data sets, processing, cleansing, and verifying the integrity of data, and performing exploratory data analysis (EDA) using state-of-the-art methods.
 
 
 &bull; Select features, build and optimize classifiers/regressors, etc. using machine learning and deep learning techniques.
 
 
 &bull; Enhance data collection procedures to include information that is relevant for building analytical systems, and ensure data quality and accuracy.
 
 
 &bull; Perform ad-hoc analysis and present results in a clear manner to both technical and non-technical stakeholders.
 
 
 &bull; Create custom reports and presentations with strong data visualization and storytelling skills to effectively communicate analytical conclusions to senior officials in a company and other stakeholders.
 
 
 &bull; Expertise in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques.
 
 
 &bull; Strong programming skills in Python.
 
 
 &bull; Excellent communication and interpersonal skills, with the ability to present complex analytical concepts to both technical and non-technical stakeholders.
 
 
 
 
 
 
 
 
 Primary Skills :
 
 
 - Excellent understanding and hand-on experience of data-science and machine learning techniques &amp; algorithms for supervised &amp; unsupervised problems, NLP and computer vision and GEN AI. Good applied statistics skills, such as distributions, statistical inference &amp; testing, etc.
 
 
 - Excellent understanding and hand-on experience on building Deep-learning models for text &amp; image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).
 
 
 - Proficient in coding in common data science language &amp; tools such as R, Python.
 
 
 - Experience with common data science toolkits, such as NumPy, Pandas, Matplotlib, StatsModel, Scikitlearn, SciPy, NLTK, Spacy, OpenCV etc.
 
 
 - Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost,etc.
 
 
 - Exposure or knowledge in cloud (Azure/AWS).
 
 
 - Experience on deployment of model in production.
 
</div>

Data scientist- Python- AI/ML GEN AI- Across india

Nissan Motor Corporation

<div>
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Lead and manage data science teams, overseeing the development and deployment of machine learning models and advanced analytics solutions.
 </li>
 <li>
 Define and execute data strategies aligned with business objectives, ensuring actionable insights drive decision-making.
 </li>
 <li>
 Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to identify and solve complex data-related challenges.
 </li>
 <li>
 Ensure data integrity, governance, and security while optimizing data pipelines and infrastructure for scalability.
 </li>
 <li>
 Mentor and develop data scientists, providing technical guidance, performance feedback, and career development support.
 </li>
 <li>
 Stay updated on emerging trends, technologies, and best practices in data science and artificial intelligence (AI).
 </li>
 <li>
 Communicate findings effectively to both technical and non-technical stakeholders, translating insights into business impact.
 </li>
 </ul>
 
 
 Key Competencies:
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking skills to interpret complex data and drive insights.
 </li>
 <li>
 Leadership and people management abilities to guide and grow a high-performing data science team.
 </li>
 <li>
 Business acumen to align data science initiatives with organizational goals and drive measurable value.
 </li>
 <li>
 Effective communication skills for conveying technical concepts to diverse audiences.
 </li>
 <li>
 Decision-making capabilities based on data-driven approaches.
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn).
 </li>
 <li>
 Experience with big data technologies (Spark) and cloud platforms (
 
 AWS/
 
 Azure/ GCP).
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and deep learning.
 </li>
 <li>
 Experience with data visualization tools (Quicksight, Power BI, Matplotlib, Seaborn, Streamlit/Dash).
 </li>
 <li>
 GenAI: Experience with GenAI APIs, LLMs, Vectorization, Agentic AI and prompt engineering for domain-specific solutions
 </li>
 <li>
 MLOps: Ability to build reusable model pipelines and manage deployments using MLflow and Docker
 </li>
 </ul>
 
 
 Behavioural Competencies:
 
 
 <ul>
 <li>
 Adaptability: Ability to pivot strategies based on evolving business needs and technological advancements.
 </li>
 <li>
 Learning Agility: Continuous learning mindset to keep up with emerging data science trends and methodologies.
 </li>
 <li>
 Teamwork: Collaborative approach to working with cross-functional teams, fostering knowledge sharing and innovation.
 </li>
 </ul>
 
 
 Certifications (Optional):
 
 
 <ul>
 <li>
 Certified Data Scientist (CDS) &ndash; DASCA
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 <li>
 Coursera/edX Data Science Specializations (e.g., IBM, Stanford, Harvard)
 </li>
 <li>
 Data Engineering Certifications
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 Location : Trivandrum Kerala Ind
 
 
 
 
 
 ia
</div>

Data Science Manager

Optum

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 
Primary Responsibilities:<ul><li>
Lead and manage a team of data scientists, fostering a collaborative and innovative environment</li><li>
Oversee the design and development of predictive models and machine learning algorithms</li><li>
Collaborate with business stakeholders to understand and define their data needs</li><li>
Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner</li><li>
Monitor model performance and continuously improve the accuracy of predictions and insights</li><li>
Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate</li><li>
Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making</li><li>
Ensure data integrity and compliance with privacy regulations</li> 
<li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul>
Required Qualifications:<ul><li>
Proven experience with LLMs</li><li>
Experience with Retrieval-Augmented Generation (RAG) techniques</li><li>
Experience in ensuring the production quality of code, including thorough testing and documentation</li><li>
Experience with version control systems such as Git</li><li>
Solid understanding of machine learning concepts and fine-tuning methodologies</li><li>
Basic understanding of containerization technologies such as Docker</li><li>
Proficiency in using the Langchain framework</li><li>
Proven excellent coding skills in Python, with adherence to PEP8 standards</li><li>
Proven solid problem-solving skills and attention to detail</li><li>
Proven ability to write clean, maintainable, and efficient code</li><li>
Proven comfortable working on the terminal for various development and deployment tasks.</li></ul> 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
#NIC #NJP</div>

AI/ML Engineer

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