machine learning analyst

Infinite pl

<div><div><p><b>Infinite pl </b>is a digital-led tech firm driven to become a digital logistics pioneer by harnessing the power of people, data, and platforms. We are enabled through in-house, external, network, and investment capabilities that we utilize to orchestrate and build innovative platforms tackling complex problems within logistics and adjacent sectors.</p>
<p><b>
Infinite pl&rsquo;s mission</b> is nothing short of a logistics revolution! We're here to enrich the experiences of governments, businesses, and residents around the world through cutting-edge digital solutions.</p><br>
<p></p>
<p><b>
We're not just players; we're game-changers.</b></p>
</div>
<h3 class="jobSectionHeader"><b>Role Summary:</b></h3><div>
As <b>Data &amp; AI Analyst</b>, you will collaborate with our team of experts to analyze and interpret complex data sets, using cutting-edge AI algorithms and techniques. You will have the chance to work on a variety of projects, ranging from developing machine learning models to enhance our products, to implementing AI solutions for our clients. This is an exciting opportunity for someone who is eager to make an impact in the AI industry and contribute to the development of groundbreaking technologies.</div><h3 class="jobSectionHeader"><b>
Responsibilities:</b></h3><ul><li>Assist in the design, development, and implementation of AI algorithms and models.</li><li>Conduct research and analysis to identify trends and patterns in large data sets.</li><li>Collaborate with cross-functional teams to gather requirements and define project objectives.</li><li>Evaluate and validate AI models, ensuring their accuracy and reliability.</li><li>Provide insights and recommendations based on data analysis.</li><li>Stay up-to-date with the latest AI techniques and technologies through continuous learning and professional development.</li><li>Support the deployment and integration of AI solutions into existing systems.</li></ul><h3 class="jobSectionHeader"><b>
Requirements:</b></h3><ul><li>A bachelor's degree in Computer Science, Engineering, or a related field.</li><li>Strong knowledge of AI concepts, algorithms, and techniques.</li><li>Hands-on experience with programming languages such as Python or Java.</li><li>Familiarity with machine learning frameworks such as TensorFlow or PyTorch.</li><li>Proficient in data analysis and visualization tools, such as MATLAB or Tableau.</li><li>Excellent problem-solving and analytical skills.</li><li>Strong communication and collaboration abilities.</li><li>Attention to detail and the ability to work on multiple projects simultaneously.</li><li>Experience working in a research or academic environment is a plus.</li><li>Knowledge of natural language processing or computer vision is a plus.</li></ul><div>
Infinite pl ️ - where innovation meets logistics, and the journey is Infinitely boundless!<br>
Let's disrupt logistics together and explore infinite opportunities!</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

2026 KSA Analyst Program - Data & AI Analyst

Metropolitan Commercial Bank

<div><p><b>Come Work With Us:</b></p>
<p>
Metropolitan Commercial Bank (&quot;MCB&quot; or the &quot;Bank&quot;) is a New York City&ndash;based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.</p>
<p>
Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.</p>
<p>
The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek's Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor's Choice recognition at the Banking Tech Awards USA for Digital Onboarding &amp; Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.</p>
<p>
We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human&ndash;AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank's website at MCBankNY.com.</p><br>
<p></p>
<p><b>
Position Summary:</b></p>
<p>
Metropolitan Commercial Bank (the &quot;Bank&quot;) is seeking an Applied AI Analyst to support the design, configuration, testing, and monitoring of applied AI, Generative AI, machine learning, and agentic workflow solutions in a highly regulated banking environment. Working under the guidance of AI Scientists and in partnership with engineering, risk, and business teams, this role focuses on internal human-in-the-loop use cases such as AI-assisted loan documentation generation, fraudulent transaction detection models, policy and knowledge copilots, workflow automation, and other productivity solutions. A meaningful portion of the role is dedicated to AI solution intake and delivery support&mdash; learning new business domains, engaging business owners, preparing required documentation, and supporting vendor and risk reviews, so that solutions can be built and deployed under strict control gates and documentation standards aligned to internal and external regulations. The role emphasizes strong documentation, human oversight, privacy-by-design, cybersecurity, and disciplined lifecycle controls aligned to internal and external regulations. The role also emphasizes familiarity with Microsoft Foundry / Foundry Agent Service, approved Microsoft Copilot ecosystems, RAG architectures, and enterprise data platforms such as Snowflake.</p>
<p><i>
Standard 4-day in-office requirement, 1 day remote (of your choosing)</i></p>
<p><b>
Essential Functions &amp; Responsibilities</b></p>
<p><b>
Applied AI solution development &amp; analysis:</b></p>
<ul>
<li>Support AI Scientists in building, configuring, and testing applied AI/GenAI solutions for high-value banking use cases such as credit memo generation, policy/regulatory summarization, knowledge assistants, and internal productivity copilots.</li>
<li>Develop and refine prompts, grounding instructions, structured outputs, evaluation datasets, and Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector search, document chunking, and metadata-driven retrieval.</li>
<li>Prepare and transform structured and unstructured data; assist with API integrations, notebooks, and repeatable workflows that improve quality, traceability, and analyst productivity.</li>
</ul>
<p><b>Agentic workflow design &amp; orchestration:</b></p>
<ul>
<li>Assist in designing and testing agentic workflows using approved enterprise platforms and frameworks, including multi-agent patterns, human-in-the-loop approvals, handoffs, and subagent / agents-as-tools designs.</li>
<li>Work with emerging interoperability patterns such as Model Context Protocol (MCP), tool / skill / plugin integration, and Agent-to-Agent (A2A) connectivity under supervision and within approved guardrails.</li>
<li>Document workflow steps, tool schemas, fallback logic, escalation paths, and safe disablement / rollback procedures for agentic and GenAI solutions.</li>
</ul>
<p><b>Microsoft Foundry, Copilot, and enterprise platform enablement:</b></p>
<ul>
<li>Support prototyping and evaluation in Microsoft Foundry / Foundry Agent Service and related Microsoft ecosystems (for example, Microsoft 365 Copilot) while partnering with Engineering and Data teams operating on Snowflake and other approved enterprise platforms.</li>
<li>Assist with prompt and agent configuration, retrieval integration, logging, model / tool versioning, and operational runbooks.</li>
</ul>
<p><b>Evaluation, testing, and monitoring:</b></p>
<ul>
<li>Create and execute test cases for accuracy, groundedness, hallucination, task completion, retrieval quality, bias/fairness, and basic adversarial or prompt-injection scenarios; escalate issues promptly.</li>
<li>Track KPIs/KRIs, output quality, drift indicators, and user feedback; maintain evidence needed for pilot reviews, production monitoring, and periodic reassessment.</li>
</ul>
<p><b>AI governance, intake documentation, and cybersecurity/privacy controls:</b></p>
<ul>
<li>Support AI use-case intake and governance processes by preparing required documentation (e.g., AI intake forms, model/system inventories, change-control artifacts, and audit-ready evidence packs) aligned to MCB's Trustworthy &amp; Responsible AI Principles and internal approval processes.</li>
<li>Learn domain and process context for new use cases by speaking with business owners and control partners; translate requirements into clear problem statements, data needs, user journeys, control gates, and documentation required to comply with internal and external regulations.</li>
<li>Support third-party / AI vendor due diligence by collecting and organizing evidence, reviewing vendor documentation, and helping risk-tier AI vendors and solutions in partnership with Third-Party Risk and Cyber/IT; act as an AI subject matter expert in providing an understanding of AI-specific risks.</li>
<li>Apply privacy-by-design, data minimization, access-control, and secure prompt/data handling practices; follow approved tooling and build standards.</li>
</ul>
<p><b>Cross-functional partnership and continuous learning:</b></p>
<ul>
<li>Communicate findings, limitations, and recommendations clearly to AI Scientists, managers, control partners (Model Risk, Compliance/Legal, Cyber/IT, Data Privacy), and business stakeholders; incorporate feedback quickly and accurately.</li>
<li>Contribute to playbooks, standard operating procedures, and reusable templates for prompts, evaluations, agent patterns, and workflow controls.</li>
</ul>
<p><b>Innovation and best practices:</b></p>
<ul>
<li>Stay current on practical applied-AI methods&mdash;including RAG, evaluation frameworks, agentic workflow design, MCP, A2A, and Microsoft Foundry capabilities&mdash;and recommend fit-for-purpose uses under established control gates.</li>
<li>Demonstrate sound judgment, curiosity, and willingness to learn from senior AI Scientists while promoting responsible AI, reproducibility, and disciplined execution.</li>
</ul>
<p><b>Qualifications &amp; Skills:</b></p>
<ul>
<li>2+ years of work experience.</li>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, Mathematics, or a related field is preferred. Relevant internships, apprenticeships, or comparable hands-on AI, analytics, or automation project experience will be considered.</li>
<li>Working knowledge of Python, SQL, notebooks, REST APIs, JSON/YAML, and version control (e.g., Git) for data analysis and AI workflow support.</li>
<li>Understanding of traditional machine learning model development and lifecycle concepts, including model training, data leakage prevention, testing/validation, monitoring, and common performance metrics for classification and regression.</li>
<li>Familiarity with LLM application patterns, including prompt engineering, structured outputs, function/tool calling, Retrieval-Augmented Generation (RAG), embeddings, and vector search.</li>
<li>Familiarity with Microsoft Foundry (including Foundry Agent Service), Microsoft 365 Copilot / Copilot Studio concepts, and approved enterprise data/AI platforms such as Snowflake.</li>
<li>Understanding of agentic workflow concepts such as MCP servers/tools, skills/plugins, subagents or agents-as-tools, handoffs, human-in-the-loop controls, and A2A integration patterns.</li>
<li>Ability to test and evaluate AI outputs for accuracy, groundedness, hallucination, retrieval quality, bias/fairness, and basic security misuse scenarios.</li>
<li>Working knowledge of model and data governance concepts, including documentation, monitoring, change control, inventories, audit trails, and three-lines-of-defense oversight in a regulated environment.</li>
<li>Strong written and verbal communication skills; ability to turn technical findings into clear summaries, test evidence, and action items for business and risk stakeholders.</li>
<li>Analytical, organized, and adaptable mindset; ability to learn quickly, manage multiple workstreams, and balance innovation with risk discipline.</li>
</ul>
<p><b>Preferred Qualifications &amp; Skills</b></p>
<ul>
<li>Financial services exposure in fraud, AML/KYC/CDD/EDD, underwriting, commercial banking, treasury, policy governance, or contact center analytics.</li>
<li>Hands-on experience with Microsoft Foundry / Foundry Agent Service, Azure AI Search or equivalent retrieval tooling, M365 Copilot / Copilot Studio, Snowflake, or similar enterprise AI platforms is a plus.</li>
<li>Experience with RAG architectures, vector databases / vector search, document chunking, metadata extraction, OCR/document understanding, and prompt engineering.</li>
<li>Exposure to agentic workflow patterns such as MCP tool integration, skills/plugins, handoffs, subagents, A2A, and evaluation frameworks for task completion and tool-call quality.</li>
<li>Familiarity with LangChain, Semantic Kernel, LangGraph, Microsoft Agent Framework, or similar orchestration libraries/frameworks is a plus.</li>
<li>Awareness of external regulations including SR 11-7, SR 23-4, AI use-case intake / inventory processes, privacy, cybersecurity, and third-party risk expectations in a regulated environment.</li>
<li>Ability to work in a constantly evolving environment.</li>
<li>Must have excellent written and verbal communication skills.</li>
<li>Demonstrate analytical, troubleshooting, and problem-solving skills.</li>
<li>The ability to learn new technologies quickly.</li>
<li>Self-directed individual with strong organizational and communication skills.</li>
<li>Ability to synthesize multiple sources of information with an understanding of the bigger picture needs and operations of the Bank.</li>
<li>Collaborative team player who can find practical solutions in a dynamic work environment.</li>
<li>Ability to handle ambiguity, manage multiple tasks at once, and shift effectively between priorities.</li></ul><br>
<p></p>
<p><b>
Potential Salary: $120,000 - $150,000 annually</b></p>
<p>
This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.</p>
<p>
Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</p>
<p>
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</p></div>

Applied AI Analyst

Chevron

<div><div><p>Chevron believes the future of energy is lower carbon. And we know that affordable, reliable, ever-cleaner energy is essential to achieving a more prosperous and sustainable world. For Chevron, reducing the carbon intensity of oil and gas represents a tremendous opportunity to advance the global net zero ambitions of the Paris Agreement and build a lower-carbon economy.</p><p></p><p>
Technology will play a crucial role in achieving this goal, and Chevron is seeking interns with a desire to thrive in a cutting-edge digital, global environment to securely advance the global energy transition. We differentiate ourselves through the application of technology, taking an approach that includes in-house expertise, proprietary solutions, and strategic partnerships.</p><p></p><p>
You will be supported by mentoring programs and employee networks to excel your professional development, learn about our business and technology organizations from key leaders, and have fun with work and social events throughout the summer!</p><p></p><p>
Information and Analytics is one of five job families within Information Technology. Roles within this job family understand the use of data, insights, and information to support work processes and strategic business objectives:</p><ul><li>
Transforms data into insights for making better decisions across the enterprise.</li><li>
Develops, executes, and manages information and data architectures, governance, practices, and procedures.</li><li>
Manages the full information and data lifecycle needs of the enterprise.</li></ul><p></p><p><b>
Positions available</b></p><ul><li>
Data Scientist</li><li>
Data Engineer</li><li>
Machine Learning Engineer</li><li>
Business Intelligence Analyst</li><li>
Data Analyst</li></ul><p></p><p><b>
Locations</b></p><ul><li>
Houston, TX</li></ul><p></p><p><b>
Data Scientist</b></p><p>
We are looking for motivated individuals to apply data science and machine learning expertise and solution delivery to join our team! You will be responsible for partnering across the business to identify opportunities to apply data science and create data science products that deliver strong value. Successful candidates will have the skills to identify, prototype, and build data science products.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data that provide insight and improve decision making, and automation</li><li>
Identify data necessary and appropriate technology to solve business challenges</li><li>
Clean data, develop models, and test models</li><li>
Establish the life cycle management process for models</li><li>
Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills</li></ul><p></p><p><b>
Data Engineer</b></p><p>
We are looking for motivated individuals to design data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective. You will leverage data and software engineering techniques to create business value through data accessibility. The primary role of data engineers is to make data available, secure, and accessible in usable formats to stakeholders. Successful candidates will understand the business use of data and the stakeholders&rsquo; requirements to support work processes and strategic business objectives.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Identify, acquire, cleanse/prepare, store data, and develop reusable data products aligned with defined architecture patterns</li><li>
Create and manage data pipelines that enable advanced analytics models, and handle data challenges and opportunities</li><li>
Ensure the scalability and reliability of model deployment, and document the technical aspects of the process</li><li>
Develop and share reusable tools for data engineering tasks, and leverage technical services to optimize data workflows</li></ul><p></p><p><b>
Machine Learning Engineer</b></p><p>
We are looking for motivated individuals to bring technical expertise, innovation, and passion for building amazing data science solutions with real-world impact to join our team! Successful candidates will drive significant value through the agility of a small startup while ensuring scale and model/code reuse to a larger federated, world-wide organization by leveraging agile practices, continuous delivery, and automation techniques. There will be no shortage of opportunities to lead, innovate, challenge the status quo, and work directly with Data Scientists, Analytics Professionals and Business experts to build and deliver innovative, value driven AI solutions.
</p><p></p><p><b>Key responsibilities</b></p><ul><li>
Consult, identify and frame opportunities to implement AI solutions that help gain insight and improve decision making and automation</li><li>
Identify data, technology, and architectural design patterns to solve business challenges using analytical tools and AI design patterns and architectures</li><li>
Partner with Data Scientists and Chevron IT Foundational services to implement complex algorithms and models into enterprise scale machine learning pipelines
</li><li>Build machine and deep learning systems optimized for scalability and performance</li><li>
Transform data science prototypes into scalable solutions in a production environment</li><li>
Orchestrate and configure infrastructure that assists Data Scientists and analysts in building low latency, scalable and resilient machine learning, and optimization workloads into an enterprise software product</li><li>
Run machine learning experiments and fine-tune algorithms to ensure optimal performance</li></ul><p></p><p><b>
Business Intelligence Analyst</b></p><p>
We are looking for motivated individuals to provide data science and analytics expertise and solution delivery across Chevron to join our team! You will understand data in the larger context of the business and the value chain to transform data into insights for better decision-making through scientific exploration, analytics, and data. Successful candidates will be accountable for leading initiatives by performing data analysis, translating data requirements to technical requirements, and driving insights to business problems and decisions.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Access, gather, and analyze data from source systems</li><li>
Help frame the business problem by providing quantitative and qualitative data analysis (data quality, availability, etc.)</li><li>
Drive insights to business problems by visualizing the data and telling a story through data (report patterns, trends, anomalies, etc.)</li><li>
Participate in the end-to-end product development lifecycle as a member of agile team</li><li>
Contribute to data analysis, data wrangling, data visualization, and acceptance testing</li><li>
Present findings and new development to help refine backlog items</li></ul><p></p><p><b>
Data Analyst</b></p><p>
We are looking for motivated individuals to provide expertise on how business workflows map to data, and how data can be integrated to build reusable data products. Successful candidates will be able to analyze the current state of data management: process, practices, tools &ndash; helping to shape future needs and serve as a subject matter expert for delivery teams.</p><p></p><p><b>
Key responsibilities</b></p><ul><li>
Understand the business use of data and stakeholder requirements to support strategic business objectives</li><li>
Collaborate with delivery teams to provide data management direction and support for initiatives and product development</li><li>
Contribute to the design of common information models</li><li>
Consult on the appropriate data integration patterns, data modeling and data quality</li><li>
Maintain and share knowledge of requirements, key data types and data definitions, data stores, and data creation process</li></ul><p></p><p><b>
Requirements</b></p><p><b>
Preferred education / degrees</b></p><ul><li>
Currently enrolled in bachelor&rsquo;s or master&rsquo;s degree program in Computer Science, Computer Engineering, Mathematics, Statistics, Operations Research, Data Science, Management Information Systems, or related Engineering degree</li><li>
Must provide a current, unofficial transcript with online resume (as proof of good academic standing) when applying for this position to be considered.</li></ul><p></p><p><b>
Experience</b></p><ul><li>
Data acquisition, analysis, modeling, movement, transformation, and preparation experience</li><li>
Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, data mining)</li></ul><ul><li>
Data Analyst: Experience with data modeling, data management, data quality, SQL</li><li>
Data Engineer: Experience using data pipelines, Data Lake and storage configuration, Python, RDBMS &amp; SQL</li><li>
Machine Learning Engineer: Software Engineering background. Working knowledge of mathematics (primarily linear algebra, probability, statistics), and algorithms. Working knowledge of machine learning frameworks and machine learning libraries.</li></ul><p></p><p><b>
Preferred skills / competencies</b></p><ul><li>
Ability to communicate in a clear and concise manner both orally and in writing.</li></ul><ul><li>
Knowledge of enterprise SaaS complexities including security/access control, scalability, high availability, concurrency, online diagnoses, deployment, upgrade/migration, internationalization, and production support</li><li>
Experience designing custom APIs for machine learning models for training and inference processes</li><li>
Software engineering skills and fundamentals: coding (Python, R) and Github, source control versioning, requirement spec, architecture, and design review, testing methodologies, CI/CD, etc.</li></ul><p></p><p><b>
Additional information</b></p><ul><li>
Relocation may be considered within Chevron parameters</li><li>
Chevron regrets that it is unable to sponsor employment visas or consider individuals on time limited visa status for this position</li></ul></div><div></div><div><div><div><div><p><b><br>
Regulatory Disclosure for US Positions:</b></p><ul><li>
The compensation and reference to benefits for this role is listed on this posting in compliance with applicable law.
</li><li>The anticipated hourly range for this position is $23.65 - $37.50. The selected candidate&rsquo;s monthly or hourly compensation will be determined based on their respective discipline, degree level and academic year for U.S. payroll offers.
</li><li>Chevron offers competitive compensation and benefits programs to eligible employees which includes, but is not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at http://hr2.chevron.com/.</li></ul></div></div></div></div><p></p><p><br>
U.S. Regulatory notice:</p><p></p><p>
Chevron is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin or ancestry, age, mental or physical disability, medical condition, reproductive health decision-making, military or veteran status, political preference, marital status, citizenship, genetic information or other characteristics protected by applicable law.</p><p></p><p>
We are committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or an accommodation, please email us at emplymnt@chevron.com.</p><p></p><p>
Chevron participates in E-Verify in certain locations as required by law.</p></div>

2026-2027 Information Technology – Information and Analytics – Intern

TECHNEXIA

<p>We are seeking motivated candidates for the Research Analyst role, specializing in Computer Science, Social Sciences, or Medical/Healthcare, to conduct research, analyze data, and deliver high-quality academic and technical reports.</p><p>Research Analyst &ndash; Computer Science Responsibilities:<br/>-Conduct literature reviews in AI, data science, and technology-related fields<br/>-Analyze datasets using Python, R, or similar tools<br/>-Apply techniques in data analysis, machine learning, or visualization<br/>-Prepare technical reports and documentation<br/>-Requirements: Degree in Computer Science, Data Science, or related field<br/>-Proficiency in Python/R/SPSS</p><p>Research Analyst &ndash; Social Sciences Responsibilities:<br/>- Conduct literature reviews in psychology, sociology, IR, economics, etc.<br/>-Design surveys, questionnaires, and case studies<br/>-Analyze data using SPSS or qualitative methods<br/>-Prepare academically sound reports with proper interpretation<br/>-Requirements: Degree in Social Sciences or related discipline<br/>-Strong knowledge of research methodologies<br/>-Excellent academic writing and critical thinking skills</p><p>Research Analyst &ndash; Medical/Healthcare Responsibilities:<br/>-Conduct literature reviews in healthcare, public health, clinical or biomedical fields<br/>-Assist in study design (cross-sectional, clinical, observational studies)<br/>-Prepare research papers, reports, and literature-based reviews<br/>-Ensure ethical standards and proper referencing (e.g., APA/Vancouver)<br/>-Requirements: Degree in Medicine, Public Health, Biotechnology, Biomedical Sciences, or related field<br/>-Understanding of research design, biostatistics, and healthcare systems<br/>-Basic proficiency in data analysis tools (SPSS/R)<br/>-Strong academic and scientific writing skills</p><p>-Timings : 8:30AM to 4:30PM<br/>-Location : North Nazimabad Karachi.<br/>-Job Type: Full-time<br/>-Work Location: In person</p><p>Pay: Rs60,000.00 - Rs85,000.00 per month</p><p>Work Location: In person</p>

Research Writer

Qatar Airways

<div><div><div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Ref #
</div><div>233169
</div></div><div><div>Location
</div><div>Qatar-Doha
</div></div><div><div>Job family
</div><div>Pilots &amp; Flight Operations
</div></div><div><div><ul><li>Closing Date: 2026-05-12</li></ul><br>
</div></div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Description
</b></h3></div><div></div><div><div><div><div><p><b>About the role:</b></p><p>
Qatar Airways are pleased to announce an incredibly exciting opportunity to join our Flight Operations Support Services team as a Senior Data Science Analyst to be based in Doha, Qatar.</p><p>
As a Senior Data Science Analyst, you will apply advanced analytical techniques to enhance the efficiency of Flight Operations and Technical Operations (CAMO). You will leverage a broad toolkit; including machine learning, optimization techniques, root cause analysis, and rapid prototyping of decision‑support tools to transform data into actionable insights. Working closely with cross‑functional teams, you will deliver high‑impact analyses and provide clear, strategic recommendations to Senior Management and key business stakeholders.</p><p><b>
Specific responsibilities for the role include:</b></p><ul><li><p>
Use a combined knowledge of data science, statistics, machine learning and optimization techniques to enhance Flight Operations and Technical Operations (CAMO) analytics capabilities.</p></li><li><p>
Develop and maintain strong business acumen within the Flight Operations and Technical Operations (CAMO) analytical scope, especially in the areas of on-time performance, flight schedule, predictive maintenance and impact on operational costs.</p></li><li><p>
Responsible for delivering multiple, highly complex and advanced analyses in a timely, efficient manner in collaboration with Flight and technical Operations&rsquo; teams to understand contextual problems and deliver innovative solutions that address business needs.</p></li><li><p>
Lead data analysis activities using available sources to identify trends and patterns, deliver deeper operational insights to make predictions and generate data-driven recommendations.</p></li><li><p>
Develop and deploy machine learning and optimization models.</p></li><li><p>
Propose and develop data-driven support prototypes based on machine learning and Optimization for further evaluation by the business users.</p></li><li><p>
Leverage emerging tools, open-source frameworks, and cloud technologies (including Vertex AI and Databricks) to create predictive and prescriptive analytics solutions. Familiarity with the Skywise platform is considered a plus.</p></li></ul><p><b>
Be part of an extraordinary story</b><br>
Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You&rsquo;ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what&rsquo;s never been done before.<br>
Together, everything is possible.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Qualification
</b></h3></div></div><div><div><div><div><p><b>About you</b></p><p>
The successful candidate will have the following skills and qualifications:</p><ul><li><p>
Bachelor&rsquo;s Degree in Mathematics, Statistics, Data Science, Operations Research, Artificial Intelligence.</p></li><li><p>
Minimum of 5 years of relevant experience and minimum 3 years&rsquo; experience in Data Science role.</p></li><li><p>
Experience in applying statistics, advanced analytical methods, and operations research to solve business problems.</p></li><li><p>
Any certification in Data Science or Machine learning using any cloud platform is considered as an added advantage.</p></li><li><p>
Excellent presentation skills and data visualization.</p></li><li><p>
Proficiency in Python, R, and SQL for data preparation, querying, and ML model development.</p></li><li><p>
Hands-on experience with GCP Vertex AI and frameworks like TensorFlow, PyTorch, and Keras.</p></li><li><p>
Experience in Optimization software tools such as Cplex, Gurobi, Google OR-Tools.</p></li><li><p>
Advanced level of Microsoft Office (Word, Excel, PowerPoint. Outlook) skills.</p></li><li><p>
Experience with top-tier BI tools such as Qlik, Power BI, Tableau.</p></li><li><p>
Experience with the Skywise platform will be considered as an added advantage.</p></li><li><p>
Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of Partners, Senior Managers, and Subject Matter Experts.</p></li></ul><p><b>
About Qatar Airways Group</b><br>
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We&rsquo;ve grown fast, broken records and set trends that others follow. We don&rsquo;t slow down by the fear of failure. Instead, we dare to achieve what&rsquo;s never been done before. So whether you&rsquo;re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.</p><p><b>
How to apply</b><br>
If you&rsquo;re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.</p>
</div></div><div><div>https://aa115.taleo.net/careersection/QA_External_CS/jobapply.ftl?lang=en&amp;job=233169</div></div></div></div></div></div></div></div><div></div>

Senior Data Science Analyst

DevTech Systems, Inc.

<div><p>DevTech is a mission-driven firm specializing in innovative, data-driven solutions that help governments, civil society, and the private sector strengthen public financial systems, unlock investment, and make informed decisions in complex environments. We combine advanced analytics, contextual insight, and blended finance strategies to deliver practical, forward-looking solutions worldwide. Guided by our core values of integrity, innovation, evidence-driven impact, resilience, and collaboration, DevTech works transparently and in close partnership with clients and communities to achieve measurable results and lasting impact.</p><p><br>
DevTech is looking for a Data Engineer and Analyst to work as an institutional contractor on its Analytics, Data, Visualization, and Information Services 2.0 (ADVISE 2.0) contract with the United States Department of State. The Data Engineer and Analyst will work with the Office of Global Food Security (GFS) to support Humanitarian Assistance (HA) across the State Department. The Data Engineer and Analyst will support the Humanitarian Data, Assessment, &amp; Coordination unit within GFS&rsquo; Technical Quality &amp; Assurance Division. The Humanitarian Data, Assessment, &amp; Coordination unit strives to create and share decision support products with humanitarian assistance decision makers to improve their understanding of humanitarian needs, internal and external humanitarian data, and to improve the quality and targeting of global humanitarian assistance in crisis settings.</p><p><br>
Overall, we are seeking a data-savvy professional who can bridge engineering and analysis. This hybrid Data Engineer and Data Analyst role involves building and maintaining data systems, exploring and interpreting complex humanitarian datasets, and empowering colleagues to make informed, evidence-based decisions. The ideal candidate combines technical expertise with intellectual curiosity, strong analytical skills, and a passion for using data to support humanitarian outcomes.</p><div><br>
Responsibilities are as follows:<br>
Data Engineering &amp; Infrastructure (60%)<br>
<ul><li>Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support humanitarian operational and analytical needs.</li><li>Build and optimize data models, schemas, and cloud-based data architectures to support dashboards, machine learning workflows, and advanced analytics.</li><li>Respond quickly to database problems that arise and carry out periodic maintenance and troubleshooting. Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.</li><li>Integrate heterogeneous humanitarian data sources.</li><li>Implement data quality, validation, and monitoring processes to ensure accuracy, reliability, and transparency.</li><li>Maintain an awareness of trends and developments in database maintenance.</li><li>Maintain documentation, metadata, and data governance standards in alignment with state department policies.</li><li>Occasionally, respond quickly to data needs for responses to rapid onset disasters or urgent decision-making requests.</li></ul></div><div><br>
Data Analysis, Insights, &amp; Decision Support (40%)<br>
<ul><li>Explore and analyze complex humanitarian datasets to identify trends, anomalies, risks, and opportunities.</li><li>Produce actionable insights that inform policy, resource allocation, program design, and crisis response.</li><li>Support predictive analytics or light machine-learning workflows where appropriate.</li><li>Communicate analytical findings clearly to technical and non-technical audiences.</li></ul></div><div><br>
Data Leadership, Guidance &amp; Collaboration<br>
<ul><li>Serve as a subject-matter resource for data best practices, including how to access, interpret, and apply available datasets.</li><li>Work closely with the team business analyst and HA decision makers to understand their data needs and translate them into analytical or technical solutions.</li><li>Provide training, informal guidance, and practical tools to staff who rely on data for decision-making.</li><li>Demonstrate flexibility by taking on adjacent responsibilities as needed in a small, fast moving team environment to ensure project goals are met.</li><li>Engage in continuous learning about the humanitarian sector.</li></ul></div><p></p><div><br>
General<br>
<ul><li>As needed, may serve on temporary detail within the bureau to meet operational needs during staff shortages. Duties performed while on detail will be aligned with the Team&rsquo;s existing duties and responsibilities and will be directly related to the scope of work provided.</li><li>In compliance with the Department of State and contractor policies and procedures, consistently model behaviors that demonstrate a commitment to fostering a non-hostile work environment free of discrimination, bias, unfairness, exclusion, offensive behaviors, and harassment of any kind.</li><li>Demonstrate consistent accountability for adherence to and knowledge of laws, executive orders, and Department of State&rsquo;s policies which prohibit Equal Employment Opportunity (EEO) and non-EEO infringements as well as the Agency&rsquo;s zero tolerance for sexual misconduct, including harassment, exploitation, and abuse of any kind. Understand reporting criteria and report up in a timely manner.</li></ul></div><p></p><div><br>
Requirements<br>
<ul><li>Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field. Master&rsquo;s degree or equivalent experience preferred.</li><li>Hands-on experience in both:</li></ul>
o Data engineering (pipelines, ETL/ELT, SQL, cloud tools)<br>
o Data analysis (exploratory analysis, dashboarding, basic data science methods)<br>
<ul><li>Proficiency with SQL and modern programming/scripting languages (Python preferred).</li><li>Familiarity with cloud platforms (e.g. AWS, Databricks) and common data engineering tools.</li><li>Strong analytical thinking, problem-solving skills, and intellectual curiosity.</li><li>Ability to explain complex concepts to diverse stakeholders.</li><li>A team player but able to work independently.</li><li>Multi-tasking and time-management skills, with the ability to prioritize tasks.</li><li>Excellent interpersonal skills.</li><li>Ability to work well in a diverse team.</li><li>The candidate must be a U.S. citizen to qualify for the required U.S. government security clearance for this project.</li></ul></div><p></p><p><br>
This position&rsquo;s place of performance is Washington D.C. Remote work has been authorized for this position.</p></div>

Data Engineer and Analyst

Coptic Orphans

<div>
 <strong>
  Purpose of the Job
  <br/>
  <br/>
 </strong>
 The Senior Data Analyst plays a critical role in leading advanced data analysis initiatives that uncover meaningful patterns and trends, supporting data-informed decision-making across the organization. This role involves independently sourcing, transforming, and interpreting diverse datasets and translating findings into clear, actionable insights through advanced visualizations and reports tailored for managers and functional leads. By strengthening our data-driven approach, the Senior Data Analyst will play a pivotal role in turning raw information into measurable improvements that support our mission and align with organizational objectives.
 <br/>
 <br/>
 <strong>
  Essential Functions And Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with directors and managers across departments to proactively identify opportunities where data analytics can enhance operational effectiveness and support business goals.
  </li>
  <li>
   Lead the design, implementation, and deployment of predictive and prescriptive models.
  </li>
  <li>
   Continuously evaluate, refine, and optimize models to improve accuracy, reliability, and business relevance.
  </li>
  <li>
   Translate machine learning outputs into actionable recommendations that support data-informed decisions by directors and managers.
  </li>
  <li>
   Deliver impactful reports, dashboards, and data stories tailored for executive audiences and non-technical stakeholders, clearly linking analytics to strategic recommendations.
  </li>
  <li>
   Design and implement robust data collection strategies from multiple sources (enterprise databases, APIs, external data feeds, unstructured data) while ensuring data integrity and accessibility.
  </li>
  <li>
   Lead data cleaning, transformation, and validation processes, establishing best practices for data quality, governance, and reliability.
  </li>
  <li>
   Drive the development and deployment of predictive and prescriptive models to support strategic planning, resource allocation, and operational optimization.
  </li>
  <li>
   Collaborate with data analysts, developers, and technology leaders to define data architecture, integration requirements, and system implementations.
  </li>
  <li>
   Provide guidance to junior analysts and contribute to building data literacy across teams.
  </li>
  <li>
   Proactively research and recommend emerging data technologies, tools, and practices to strengthen analytical capabilities and maintain competitive advantage.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Education, Experience, Knowledge, And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Data Science, Computer Science, Information Systems Management or a related field.
  </li>
  <li>
   3-5 years of relevant professional experience in data analysis, including designing dashboards, delivering reports, and supporting operational or business decisions.
  </li>
  <li>
   Strong programming experience in Python (Pandas, NumPy, Scikit-learn) or R, with advanced SQL skills for complex queries and database management.
  </li>
  <li>
   Demonstrated knowledge of ETL frameworks and data warehousing principles.
  </li>
  <li>
   Strong knowledge of database design, relational and dimensional modeling, and data mining techniques.
  </li>
  <li>
   Hands-on experience applying advanced statistical concepts, supervised/unsupervised learning, and machine learning algorithms to solve real-world business problems.
  </li>
  <li>
   Proven ability to design, implement, and deploy predictive and prescriptive models.
  </li>
  <li>
   Ability to evaluate model performance, optimize accuracy, and translate outputs into actionable business strategies.
  </li>
  <li>
   Strong experience with data visualization tools (Power BI, Tableau, or similar).
  </li>
  <li>
   Familiarity with cloud-based data platforms (Azure, AWS, Google Cloud) and associated analytics services.
  </li>
  <li>
   Experience with web analytics platforms (Google Analytics, Adobe Analytics) is a plus.
  </li>
  <li>
   Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint), as well as Outlook, Teams, and SharePoint.
  </li>
  <li>
   Excellent written and verbal communication skills, with confidence in presenting to directors &amp; managers.
  </li>
  <li>
   Ability to translate complex data into clear, actionable insights for diverse audiences.
  </li>
  <li>
   Collaborative mindset and willingness to share knowledge with team members.
  </li>
  <li>
   Proficient in both written and spoken English.
  </li>
  <li>
   Exceptional analytical, problem-solving, and critical-thinking skills.
  </li>
  <li>
   Ability to manage multiple priorities and deliver high-quality work independently.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Travel And Working Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Limited to a typical office environment, such as walking, sitting, typing, using office equipment, and occasional lifting of boxes or luggage during travel.
  </li>
  <li>
   Occasional national or international travel may be required.
  </li>
  <li>
   Working out of the official hours and on weekends may be required.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   Job Posted by ApplicantPro
  </em>
 </strong>
</div>


Senior Data Analyst

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