predictive analytics specialist

Priority Ambulance

<div>Position Summary
The AI &amp; Data Innovation Specialist supports the Priority Ambulance Family of Companies by developing, implementing, and maintaining artificial intelligence and data analytics solutions that enhance operational efficiency, workforce management, clinical outcomes, and organizational decision-making.
This role serves as a bridge between data science and EMS operations, leveraging technology to advance the company&rsquo;s S.A.F.E. values (Safe, Accountable, Friendly, Efficient) and supporting the organization&rsquo;s Healthcare Anywhere mission through innovation, automation, and actionable insights.
Essential Duties and Responsibilities<ul><li>
Design, develop, and deploy AI and predictive models to forecast EMS demand, optimize unit deployment, and enhance workforce scheduling.</li><li>
Analyze large-scale datasets from CAD, ePCR, HRIS, payroll, fleet maintenance, and billing systems to identify trends, inefficiencies, and opportunities for improvement.</li><li>
Collaborate with cross-functional teams (Operations, HR, Finance, IT, Clinical) to define analytics requirements and develop data-driven solutions.</li><li>
Implement machine learning algorithms to support clinical quality assurance, documentation review, and real-time performance dashboards.</li><li>
Create and maintain data visualization dashboards (Power BI, Tableau) to communicate operational KPIs to leadership in clear, actionable formats.</li><li>
Partner with IT and Compliance teams to ensure HIPAA-compliant data handling, model transparency, and ethical AI practices.</li><li>
Support automation of manual processes across administrative, HR, and operations functions using AI tools or low-code automation platforms.</li><li>
Contribute to the development of the company&rsquo;s Innovation Enablement strategy, ensuring alignment between technology solutions and enterprise goals.</li><li>
Provide technical leadership on data science projects, including data cleaning, model training, and API integration with enterprise platforms.</li><li>
Train leaders and staff on interpreting and using AI-driven insights in daily decision-making.</li></ul>
Knowledge, Skills, and Abilities<ul><li>
Advanced knowledge of machine learning techniques, predictive analytics, and statistical modeling.</li><li>
Strong proficiency in Python, R, SQL, and related AI/ML frameworks (TensorFlow, scikit-learn, PyTorch).</li><li>
Familiarity with Power BI, Tableau, or Looker for analytics visualization.</li><li>
Experience with cloud data systems (Azure, AWS, or Google Cloud).</li><li>
Understanding of EMS or healthcare data environments, including CAD, NEMSIS/ePCR, and HRIS data.</li><li>
Excellent communication skills&mdash;able to translate complex analytics into executive-ready insights.</li><li>
Proven ability to work collaboratively across operational, technical, and clinical teams.</li><li>
Demonstrated ethical judgment in data privacy, bias management, and AI transparency.</li></ul>
Work Environment
This position may operate in a hybrid or remote setting, with occasional travel to company operations or regional offices for project collaboration and training.
Education and Experience<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Engineering, or a related field required.</li><li>
Master&rsquo;s degree or advanced certification in Artificial Intelligence or Machine Learning preferred.</li><li>
Minimum of 3&ndash;5 years of professional experience in AI, data science, or predictive analytics.</li><li>
Prior experience in EMS, healthcare, or public safety environments preferred.</li><li>
Familiarity with ESO, Zoll, ImageTrend, or FirstWatch systems a plus.</li></ul>
Preferred Certifications<ul><li>
Google Cloud Certified &ndash; Machine Learning Engineer</li><li>
AWS Certified Machine Learning &ndash; Specialty</li><li>
Microsoft Certified: Azure Data Scientist Associate</li><li>
Certified Health Data Analyst (CHDA) or equivalent</li></ul>
Core Competencies<ul><li>
Innovation Enablement: Drives adoption of emerging technologies and AI-based tools across the organization.</li><li>
Operational Excellence: Leverages data to improve efficiency, reliability, and resource utilization.</li><li>
Collaboration: Partners effectively with leadership and frontline teams to deliver impactful results.</li><li>
Strategic Mindset: Aligns AI initiatives with organizational growth, scalability, and quality improvement goals.</li><li>
Integrity &amp; Compliance: Upholds ethical standards, patient privacy, and data governance principles.</li></ul>
Performance Indicators<ul><li>
Reduction in average response times through predictive deployment modeling.</li><li>
Decrease in QA review time via automated data validation.</li><li>
Improvement in forecasting accuracy for call volume and staffing.</li><li>
Cost savings achieved through process automation and efficiency gains.</li><li>
Leadership adoption rate of AI dashboards and tools.</li></ul></div>

Priority Ambulance - AI & Data Innovation Specialist

Honeywell

<div>Are you ready to make a difference, work on most impactful projects influencing our business and be at heart of revolution to create a world class supply chain? In Supplier Engineering we&rsquo;re finding innovative, collaborative ways to improve delivery and quality of our suppliers creating vital link between our supply chain, internal factories and our customers. 
Come be a part of team of future shapers that:
<ul><li>Proactively reviews supplier capabilities, assess operational gaps to identify risks and takes systematic actions to develop a world class supplier.
</li><li>Is globally responsible for all supplier development, quality improvement and sustainment.
</li><li>Systematically drives Root Cause Corrective Action (RCCA) investigations to prevent defects.
</li><li>Works directly with sourcing, business, engineering and our customers on strategies to improve product quality and delivery.
</li><li>Identifies and leads the implementation of continuous improvement projects.
</li>Are leaders creating a performance culture with our suppliers through coaching and technical engagement. 
<li>
</li></ul>We are seeking a skilled Predictive Analytics Specialist to join our aerospace supplier quality team to take on the challenge to shape and advance our supply chain through predictive analytics. It will be a ground-breaking role within our supply chain that involves leveraging advanced analytics techniques to predict risk events, identify potential quality issues, and provide actionable insights that enhance our quality and customer management processes. The successful candidate will collaborate closely with quality engineers, manufacturing teams, and data analysts to foster a proactive approach to quality assurance in the aerospace sector on top of demonstrating effective communication skills to senior management, have a big picture strategic mindset, handle multiple priorities, influence, and solve complex problems. 
In this role, you will work remotely and report to our Sr Supplier Quality Engineering Manager. 
KEY RESPONSIBILITIES
Data Analysis and Predictive Modeling:
<ul><li>Develop, implement, and utilize predictive models to forecast risk events and quality variations in the manufacturing process.
</li>Apply statistical tools and machine learning techniques to analyze historical data, identifying trends, anomalies, and root causes of quality issues. 
<li>
</li></ul>Insights Generation:
<ul><li>Transform complex data sets into clear, actionable insights that inform decision-making processes within the quality organization.
</li>Deliver presentations and reports that summarize findings, recommendations, and predictive insights to various stakeholders, including senior management. 
<li>
</li></ul>Collaboration with Cross-Functional Teams:
<ul><li>Work closely with quality assurance, engineering, and production teams to understand their needs and incorporate their insights into the predictive modeling process.
</li><li>Assist in the development of strategies for continuous improvement based on predictive analytics findings.
</li><li>Coach team members on how to leverage analytics to make decisions
</li>Provide training sessions and workshops to enhance the data literacy of team members and promote a culture of data-driven decision-making. 
<li>
</li></ul>Supply Chain Analytics and Risk Management:
<ul><li>Establish key performance indicators (KPIs) for quality metrics and develop dashboards to monitor these metrics in real-time.
</li>Identify early signals of potential risk events and quality issues, facilitating proactive investigations and interventions. 
<li>
</li></ul>Establishing Strategies and Processes
<ul><li>Design and implement tools for data collection, analysis, and reporting that enhance predictive analytics capabilities.
</li><li>Document processes, methodologies, and analytical techniques, ensuring best practices are followed and knowledge is shared across the organization.</li></ul></div>
 <div></div>
 <div>YOU MUST HAVE
<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Engineering, or a related field.
</li><li>Proficiency in Python or R
</li><li>Proficiency in SQL
</li>Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software. 
<li>
</li></ul>WE VALUE
<ul><li>Minimum of 3-5 years of experience in predictive analytics, ideally within an aerospace or manufacturing context.
</li><li>Strong knowledge of quality management principles and risk assessment methodologies within the aerospace industry.
</li><li>Strong communication skills both verbal and written. Including customer reporting.
</li><li>PMP Certification
</li><li>Ability to interface effectively with all levels of leadership.
</li><li>A change agent with excellent interpersonal and leadership skills
</li><li>Proven problem-solving skills, including ability to interpret business performance and financial data, define actions, and implement solutions.
</li>Effective collaboration skills to motivate and influence others at various levels without a direct reporting relationship. 
<li>
</li></ul>U.S. PERSON REQUIREMENTS
Due to U.S. export control laws, candidates must be U.S. citizen, U.S. permanent resident, or have protected status under asylum or refugee. 
BENEFITS OF WORKING FOR HONEYWELL
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: https://benefits.honeywell.com/ 
ABOUT HONEYWELL
Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world&rsquo;s most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en 
THE BUSINESS UNIT
Honeywell Aerospace Technologies (AT) products and services are found on virtually every commercial, defense, and space aircraft in the world. We build aircraft engines, cockpit and cabin electronics, wireless connectivity systems, mechanical components and more, and connect many of them via our high-speed Wi-Fi offerings. Our solutions create healthier air travel, more fuel-efficient and better-maintained aircraft, more direct and on-time flight arrivals, safer skies and airports, and more comfortable flights, along with several innovations and services that reflect exciting and emerging new transportation methods such as autonomous and supersonic flight. Revenues in 2023 for Honeywell Aerospace Technology were $14B and there are approximately 21,000 employees globally. To learn more, please visit https://aerospace.honeywell.com/ 
The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Connecticut, and Hawaii is $102,000 - $127,000. For Washington and most major metropolitan areas in New York &amp; California, the annual base salary range is $108,000 - $135,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations. 
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 11/7/2025</div>
 <div>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments &ndash; powered by our Honeywell Forge software &ndash; that help make the world smarter, safer and more sustainable.</div>

Sr Advanced Supplier Quality Engineer, Predictive Analytics

Interra Information Technologies

Job Description: AI ScientistLocation: Remote (serving client in Bangkok, Thailand)Employer: Leading System Integration CompanyExperience Level: 3&ndash;7 yearsAbout the RoleOur client, a Bangkok-based automotive company, is embarking on an advanced digital and AI-driven transformation. As part of this journey, we are hiring an AI Scientist through our System Integration firm. The selected candidate will work remotely while collaborating closely with both our internal teams and the client&rsquo;s stakeholders, driving innovative AI solutions in predictive analytics and intelligent systems.Key Responsibilities&middot; Develop and deploy predictive analytics models for automotive industry use cases (e.g., demand forecasting, customer behavior, operational efficiency).&middot; Leverage Python for advanced data processing, feature engineering, and machine learning pipelines.&middot; Work hands-on with Microsoft Azure Cloud for AI/ML workflows, including training, deployment, and scaling models.&middot; Collaborate with Databricks for large-scale data engineering and modeling tasks.&middot; Contribute to research and application of Large Language Models (LLMs) and Small Language Models (SLMs) in real-world scenarios.&middot; Partner with cross-functional teams (data engineers, business analysts, and client stakeholders) to ensure models align with business objectives.&middot; Demonstrate a growth mindset&mdash;eager to learn, adopt best practices, and explore emerging AI trends.&middot; Communicate findings clearly in fluent English, ensuring transparency and collaboration across distributed teams.Required Qualifications&middot; 3&ndash;7 years of proven experience in AI, machine learning, or data science roles.&middot; Strong foundation in predictive analytics and statistical modeling.&middot; Advanced proficiency in Python and related ML libraries (scikit-learn, TensorFlow, PyTorch, etc.).&middot; Experience with Azure AI/ML ecosystem.&middot; Familiarity with Databricks or readiness to quickly adopt.&middot; Understanding of LLMs/SLMs concepts and potential applications.&middot; Excellent communication and collaborative attitude in a remote, multicultural environment.Preferred Qualifications&middot; Experience in the automotive industry or manufacturing-related domains.&middot; Exposure to MLOps practices (CI/CD for ML, model monitoring, governance).&middot; Knowledge of data privacy, compliance, and AI ethics.What We Offer&middot; 100% Remote Work with flexible collaboration hours.&middot; Opportunity to contribute to high-impact projects for a leading automotive company in Bangkok.&middot; Dynamic and supportive work culture within a System Integration company driving innovation globally.&middot; Competitive compensation and clear career progression pathways.Job Type: Full-timeWork Location: Remote

AI Scientist

ACL Digital

<div>
 
 Key Responsibilities:
 
 <ul>
 <li>
 Apply advanced forecasting methodologies to estimate sales and revenue for newly launched and pipeline pharmaceutical products (Demand Forecasting good to have skills).
 </li>
 <li>
 Incorporate financial modelling and corporate finance principles into forecasting frameworks to support long-term strategic planning.
 </li>
 <li>
 Develop robust, data-driven models that incorporate market dynamics, patient behaviour, and competitive intelligence to generate accurate and actionable forecasts.
 </li>
 <li>
 Collaborate cross-functionally with marketing, commercial, and research teams to ensure alignment of forecasts with strategic objectives and product positioning.
 </li>
 <li>
 Leverage statistical, machine learning, and deep learning techniques to uncover insights that inform launch strategies and optimize product performance.
 </li>
 <li>
 Partner with key business stakeholders to identify, scope, and execute predictive analytics initiatives that address critical business needs and deliver measurable value.
 </li>
 <li>
 Maintain a strong understanding of the pharmaceutical landscape from financial operations to commercialization To provide objective, data-driven input into strategic decisions.
 </li>
 <li>
 Collaborate within the analytics team, openly sharing knowledge and seeking feedback to enhance the quality and impact of analytical deliverables.
 </li>
 <li>
 Stay current with emerging techniques and tools in predictive analytics, ensuring methodological rigor and adaptability in approach.
 </li>
 <li>
 Work comfortably with varied data sources and types, ensuring seamless integration and analysis across structured and unstructured datasets.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Minimum of 5 years of working experience as a Data Scientist in industry.
 </li>
 <li>
 Deep and broad knowledge of Data Science methods and tools including Simulation model building principles, Machine Learning, and best practices:
 </li>
 <li>
 Point Forecasting and Probabilistic Forecasting.
 </li>
 <li>
 Statistical Forecasting: ARIMA, THETA, Exponential Smoothing
 </li>
 <li>
 ML-based Forecasting: GBM, LightGBM, XGBoost, Linear Regression
 </li>
 <li>
 DL-based Forecasting: DeepAR, NBEATS, LSTM, RNN
 </li>
 <li>
 Hierarchical Forecasting
 </li>
 <li>
 Cross-Validation: Rolling-window, Expanding-window, K-fold, Hold-out
 </li>
 <li>
 MLOps is also good to have skills.
 </li>
 <li>
 Any type of simulation model experience (Good to have).
 </li>
 <li>
 Agent-based Simulation Model using Anylogic (Good to have).
 </li>
 <li>
 Exposure to LLM or GPT good to have skills
 </li>
 </ul>
 
 
 
 
 
 Key Skills:
 
 Data Scientist, Machine Learning, Statistical Forecasting, Python
 
 
 
</div>

Data Scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><ul><li>Objective of this role is to use statistical computer languages (Python) to manipulate data and draw insights from large data sets.</li></ul>
<ul><li>Develop predictive analytics solution using ML algorithms such as regression, classification and random forest.</li></ul>
<ul><li>Build concept and category model using text mining algorithms.</li></ul>
<ul><li>Conduct Peer review and offer recommendations on other people&rsquo;s code</li></ul>
<ul><li>Work with back/front-end developer to create sustaining pipelines for web applications</li></ul>
<ul><li>Document the requirement to development process</li></ul>
<ul><li>Skillset required for this role is Strong communication and interpersonal skills and ability to multi-task, prioritize and manage project independently in an environment with competing priorities.</li></ul>
<ul><li>Working closely with technical teams, and other organizations to understand the product and data</li></ul>
<ul><li>Finding and interpreting large data sets to help predict costs</li></ul>
<ul><li>Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use.</li></ul>
<ul><li>Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture</li></ul>
<ul><li>Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support</li></ul>
<ul><li>Ensuring data collected, analyzed and presented result in actionable insights for negotiation support</li></ul>
<ul><li>Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations</li></ul>
<ul><li>Understanding high-level business objectives and continually align those objectives to meet needs of the business.</li></ul>
</div></div></div><div><div><div>Location</div>
<div>Bengaluru</div>
</div><div><div>Job Function</div>
<div>TECHNOLOGY</div>
</div><div><div>Role</div>
<div>Developer</div>
</div><div><div>Job Id</div>
<div>378845</div>
</div><div><div>Desired Skills</div>
<div>Machine Learning | Python | Data scientist</div>
</div></div>Desired Candidate Profile
<div><div>Qualifications : BACHELOR OF ENGINEERING</div></div></div><div></div>

Tcs is Hiring for Data Scientist (python)

Expert System Solution

About the Role: We are seeking a Senior Data Scientist with 6+ years of experience who possesses not only strong technical expertise but also exceptional communication and business acumen. The ideal candidate is a closer, someone who can take ownership, deliver results, and translate complex data insights into clear, actionable strategies.Responsibilities:<ul><li>Lead end-to-end data science projects from ideation to deployment.</li><li>Develop and implement predictive models, machine learning algorithms, and data-driven solutions.</li><li>Collaborate with cross-functional teams to align data insights with business objectives.</li><li>Present findings to stakeholders in a clear, concise, and impactful manner.</li><li>Work with large datasets using advanced statistical methods and tools.</li><li>Ensure timely delivery and measurable results on all assigned projects.</li></ul>Requirements:<ul><li>6+ years of proven experience as a Data Scientist or in a related role.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong understanding of machine learning, deep learning, NLP, and predictive analytics.</li><li>Hands-on experience with big data technologies (e.g., Spark, Hadoop).</li><li>Experience working with cloud platforms (AWS, GCP, or Azure).</li><li>Exceptional communication and presentation skills.</li><li>Strong problem-solving mindset with the ability to &ldquo;close the loop&rdquo; on projects.</li></ul>Why Join Us:<ul><li>Opportunity to lead impactful projects.</li><li>Collaborative and innovative environment.</li><li>Competitive salary and benefits package.</li><li>Growth-oriented role with room to take ownership.</li></ul>Job Type: Full-timeWork Location: In person

Senior Data Scientist

UltraTech Cement

<div>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
 </li>
 <li>
 Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
 </li>
 <li>
 Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends &amp; patterns within big data sets to inform business decisions across functions &amp; at all levels. Clean, preprocess, &amp; transform the data to ensure it's of high quality, with missing values handled &amp; outliers addressed.
 </li>
 <li>
 Employ advanced analytics techniques for predictive modeling &amp; machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability &amp; resilience to ever-increasing external sources of variability.
 </li>
 <li>
 Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.
 </li>
 <li>
 Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.
 </li>
 <li>
 Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
 </li>
 <li>
 Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
 </li>
 <li>
 Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 B.E/B.tech/ PG in data science
 
 
 
 Location:
 
 Worli, Mumbai
 
 
 
</div>

Data Scientist - AGM/ DGM/ GM

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