sr. ai & data engineer–trading analytics

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analyst - business transformation

senior data analyst

Chevron

<div>Total Number of Openings
1
Chevron is accepting online applications for the role of Senior Finance Analyst - AI &amp; ML, through June 26, 2026, 11:59pm Central time.
The Senior Finance Analyst - AI &amp; ML is a role sitting at the intersection of rigorous quantitative finance and frontier machine learning. You will architect and deploy production-grade AI &amp; ML systems that materially shape capital allocation decisions, financial forecasting, and risk modeling across the organization. This is not a support function - you will own the full analytical lifecycle, from problem formulation to model deployment, and your work will be directly visible to senior leadership. This role will be based in Houston, TX. We are looking for candidates who possess a rare blend of deep theoretical knowledge and battle-tested engineering skills.
Responsibilities include, but are not limited to, the following:<ul><li>
Design, build, and own advanced machine learning and statistical models that directly inform corporate financial planning, capital allocation, and strategic risk assessment.</li><li>
Develop predictive and generative AI systems for financial forecasting, scenario analysis, anomaly detection, and portfolio optimization.</li><li>
Translate complex, ambiguous business problems into mathematically rigorous AI/ML solutions with clear, quantifiable impact.</li><li>
Build and maintain production-ready ML pipelines &mdash; from data ingestion and feature engineering through model training, validation, deployment, and monitoring.</li><li>
Partner with finance leadership, data engineering, and technology teams to integrate AI/ML outputs directly into decision-making workflows.</li><li>
Establish and champion model governance practices, including interpretability, bias assessment, and auditability frameworks appropriate for regulated financial environments.</li><li>
Continuously evaluate and adopt frontier AI/ML methodologies &mdash; large language models, time-series forecasting, causal inference, reinforcement learning &mdash; where applicable to finance.</li><li>
Mentor junior analysts and contribute to building a rigorous, intellectually demanding team culture.</li></ul> 
Required Qualifications:<ul><li>
Education: Bachelor&rsquo;s degree in Mathematics, Statistics, Physics, Computer Science, Data Science, Quantitative Finance, or another highly quantitative discipline. Master&rsquo;s or PhD strongly preferred.</li><li>
Experience: 5&ndash;7+ years building and deploying advanced AI/ML solutions in production environments. Demonstrated success applying deep technical expertise in mathematical, statistical, engineering, or finance domains.</li><li>
Proven track record of owning complex end-to-end ML projects from ideation to measurable business impact.</li><li>
Mastery of core and advanced techniques: Python (expert), PyTorch/TensorFlow/JAX, SQL, probabilistic programming (e.g., Pyro, Stan), causal inference, time-series analysis (including modern state-space and transformer-based models), optimization (linear/non-linear, stochastic), and large-scale data engineering.</li><li>
Deep understanding of corporate finance principles (or the ability to learn them at exceptional speed) combined with the ability to challenge conventional financial thinking with data-driven rigor.</li><li>
Exceptional communication skills &ndash; you can explain sophisticated models to CFOs and Boards while maintaining technical depth with peers.</li></ul> 
Relocation will be considered.
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.
U.S. Regulatory notice:
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.
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.
Chevron participates in E-Verify in certain locations as required by law.</div>

Finance AI & ML Senior Analyst

Baylor College of Medicine

<div><div><div><div><h2 class="jobSectionHeader">Summary</h2></div><div>
The Senior Data Analytics Associate will serve as a key analytical partner within the Fetal Center Research team. This role is responsible for maintaining and optimizing research databases, sustaining established Power BI dashboards, and developing new data-driven solutions that support complex fetal intervention research, including FDA regulated clinical trials. The analyst will apply advanced analytical methods, statistical modeling, and data visualization techniques to drive evidence-based decision making, ensure data integrity, and enhance operational and research outcomes across interdepartmental clinical research initiatives.</div></div><div><div><h2 class="jobSectionHeader">
Job Duties</h2></div><div><ul><li>
Maintain the integrity, accuracy, and performance of existing Power BI dashboards utilized for research and quality improvement.</li><li>
Manage, develop, and optimize research databases, data collection systems, and data workflows to support ongoing and upcoming fetal intervention studies and FDA regulated clinical trials.</li><li>
Support identification, integration, and preparation of large clinical, imaging, and longitudinal research datasets generated across interdepartmental partners.</li><li>
Interpret complex clinical and research data using advanced statistical and analytics techniques; develop predictive models to support fetal intervention planning, patient risk stratification, and trial outcomes forecasting.</li><li>
Identify, analyze, and interpret trends or patterns within high volume, multifaceted datasets relevant to maternal&ndash;fetal research.</li><li>
Develop new dashboards, data visualization aids, and analytic tools tailored to the unique needs of fetal intervention studies, regulatory reporting, and research publications.</li><li>
Work collaboratively with physicians, research coordinators, statisticians, data managers, and interdepartmental partners within Texas Children&rsquo;s Hospital Fetal Center to understand research and operational requirements and translate them into intuitive analytic solutions.</li><li>
Provide consultative analytics support to clinical trial teams, offering actionable insights to guide process improvements, protocol planning, and research strategy.</li><li>
Prepare high quality, well documented analytic outputs that support manuscripts, presentations, grants, regulatory submissions, and internal research reviews.</li><li>
Recommend enhancements to data collection procedures, analytic processes, and reporting systems to increase statistical efficiency, regulatory compliance, and team effectiveness.</li><li>
Continuously refine and improve analytics pipelines supporting fetal center workflows, multi site collaborations, and clinical trial operations.</li><li>
Perform other duties as assigned to support the mission of the Fetal Center Research team.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Minimum Qualifications</h2></div><div><ul><li>
Bachelor's degree. Four years of relevant experience may substitute for degree requirement.</li><li>
Four years of relevant experience.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Preferred Qualifications and Skills</h2></div><div><ul><li>
Experience with REDCap, MS Excel and Power BI.</li><li>
Previous experience in research data management.</li><li>
Requires experience with computer spreadsheets and database management (experience with developing and maintaining databases in REDCap preferred).</li><li>
Self-directed, independent and organized.</li><li>
Requires critical thinking and interpersonal skills necessary to coordinate large data sets within a multi-disciplinary team.</li></ul></div></div></div> 
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. 
SN; Nature</div>

Senior Data Analytics Associate - Clinical Research Data

Dynamis, Inc.

<div><div>Dynamis is seeking a Junior Criminal Analyst to be a frontline contributor to one of HSI's highest-visibility enforcement missions: protecting the integrity of the U.S. workforce through Worksite Enforcement Unit (WSEU) operations. Embedded alongside HSI special agents, the analyst performs the systematic examination of I-9 employment documents, business records, and government data indices that drives national and international worksite enforcement investigations. The work is fast-paced, detail-critical, and consequential &mdash; the analytical products this position helps build feed directly into Notices of Inspection, Notices of Intent to Fine, and other court-authorized enforcement actions. Dynamis offers this analyst a rare entry point into federal law enforcement investigations, hands-on mentorship from senior investigators, and a clear path to grow into advanced compliance and investigative roles.

Responsibilities:
<ul>
<li>Examine and analyze employer I-9 Employment Eligibility Verification forms, payroll records, corporate filings, and related employment documentation to surface compliance gaps and potential violations of federal immigration employment statutes, working shoulder-to-shoulder with investigators.</li>
<li>Query and cross-reference law enforcement and commercial database systems to detect anomalies, patterns, and discrepancies that advance active and developing investigations.</li>
<li>Draft clear, accurate, and defensible case summaries, analytical reports, and findings that withstand scrutiny and directly support worksite enforcement actions.</li>
<li>Contribute to liaison activities that connect national and international investigative programs, initiatives, and partner agencies.</li>
<li>Maintain meticulous, well-organized case files in full compliance with DHS/ICE data handling and privacy protocols, helping identify potential violations of federal employment eligibility and worksite compliance laws.</li>
<li>Prepare briefing materials and analytical support products for site visits, enforcement actions, and senior staff engagements.</li>
</ul></div><div><h3 class="jobSectionHeader">Requirements:</h3>
<ul><li>Bachelor's degree in criminal justice, business administration, public administration, law, or a closely related field.
</li><li>One to two years of relevant professional experience in compliance, investigations, legal support, immigration services, or a related discipline is required.
</li><li>Candidates must possess strong analytical and research skills with demonstrated ability to review and synthesize large volumes of documentation and data.</li>
<li>Effective written and oral communication skills are essential, as the position requires preparation of written analytical products and regular coordination with federal law enforcement personnel.</li>
<li>Proven ability to perform high-volume, accurate data entry of paper documents into electronic format and to conduct database queries across law enforcement and commercial systems in support of detailed reporting</li>
<li>Candidates must be able to obtain and maintain a ICE suitability determination
</li><li>Must be a U.S. Citizen.</li> 
</ul>
Preferred:
<ul>
<li>Experience working with federal law enforcement or regulatory agencies is highly desirable. Familiarity with employment eligibility verification requirements, including Form I-9 compliance and E-Verify, is a strong plus.</li>
<li>Prior exposure to HSI, ICE, or other DHS component operations, as well as experience handling sensitive or law enforcement-controlled data, is preferred.</li>
<li>Proficiency with government database systems or investigative case management platforms is advantageous.</li></ul></div></div>

Junior Criminal Analyst

LTIMindtree

<div>Role description 
Role Summary

We are seeking a skilled GenAI Engineer to design build and operationalize nextgeneration AI solutions leveraging Large Language Models LLMs AI agents Retrieval Augmented Generation RAG architectures and scalable cloud platforms This role requires strong handson expertise across AI concepts model integration data pipelines and MLOpsCICD with the ability to translate business problems into productiongrade AI systems

Key Responsibilities

GenAI LLM Engineering

Design develop and deploy LLMpowered applications using leading foundation models OpenAI Azure OpenAI Anthropic opensource LLMs

Build LLMbased AI agents capable of multistep reasoning tool use orchestration and autonomous workflows

Implement and optimize agent frameworks such as LangChain LlamaIndex Semantic Kernel AutoGen and CrewAI

Engineer robust prompting strategies memory mechanisms and toolaugmented reasoning

RAG and Knowledge Systems

Design and implement Retrieval Augmented Generation RAG architectures

Build embedding pipelines using vector databases such as FAISS Pinecone Weaviate Azure AI Search and Chroma

Optimize document ingestion chunking strategies metadata management and reranking

Ensure accuracy relevance and performance of AIgenerated responses

Machine Learning Model Integration

Apply practical ML concepts including classification clustering ranking and similarity search where applicable

Integrate traditional ML models with LLMbased systems for hybrid AI solutions

Evaluate finetune and test models using appropriate performance metrics

Data Engineering and Pipelines

Develop and maintain data pipelines for structured and unstructured data using Python and SQL

Work with large datasets APIs and streaming and batch processing frameworks

Ensure data quality lineage observability and governance within AI workflows

MLOps CICD and Productionization

Build CICD pipelines for AI and ML workloads including model versioning and automated testing

Deploy AI services in containerized environments Docker Kubernetes

Implement monitoring for model performance drift latency and cost

Ensure security access control and compliance for AI systems

Cloud Platform Engineering

Design and deploy AI solutions on cloud platforms such as AWS Azure or GCP

Leverage managed AIML services serverless components and scalable infrastructure

Optimize cost performance and reliability of AI workloads

Collaboration and Stakeholder Engagement

Partner with product platform and business teams to translate requirements into AI solutions

Document architectures design decisions and operational runbooks

Provide guidance on GenAI best practices risks and responsible AI usage

Required Skills and Experience

Core Technical Skills

Strong proficiency in Python and working knowledge of SQL

Solid foundation in AIML concepts with handson experience deploying models

Proven experience with LLMs AI agents and agent frameworks

Handson expertise with RAG architectures and vector databases

Experience implementing CICD pipelines for AI or ML systems

Strong understanding of data pipelines and distributed data processing

Experience working on at least one major cloud platform AWS Azure or GCP

Preferred Good to Have

Experience finetuning LLMs LoRA PEFT RLHF concepts

Familiarity with evaluation frameworks for GenAI hallucination testing grounding latency benchmarks

Exposure to governance security and compliance considerations for enterprise AI

Background in regulated domains such as BFSI or healthcare

Education

Bachelors or masters degree in computer science engineering data science or a related field or equivalent practical experience

What Success Looks Like

Scalable reliable GenAI solutions deployed to production

Wellarchitected AI agents delivering measurable business value

Highquality explainable and maintainable AI systems

Strong collaboration across engineering data and business teams 
Skills 
Mandatory Skills : AI/GenAI Research, GenAI - LLMOps 
Other details 
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $81215 to $145,300.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Senior Specialist - Data Sciences

Shell

<div>Texas, United States of America 
 
Job Family Group:
Information Technology (IT) 
 
Worker Type:
Regular 
 
Posting Start Date:
June 11, 2026 
 
Business Unit:
Projects and Technology 
 
Experience Level:
Experienced Professionals 
 
Job Description:
What&rsquo;s the role
Shell is seeking a Sr. AI &amp; Data Engineer &ndash; Trading Analytics (also known internally as Data Engineering Lead) to join its team in Houston, TX. This role is ideal for an AI Engineer with a strong foundation in data engineering who can design and deliver AI-driven front-office analytics and GenAI/agentic solutions, collaborating closely with traders and trading analysts.
Shell Trading &amp; Supply is one of the world&rsquo;s leading energy and commodity trading organizations, operating across crude, refined products, gas, LNG, power, and environmental products. Trading sits at the heart of Shell&rsquo;s energy transition, requiring rapid, data‑driven decision making under complex market conditions. Within Trading &amp; Supply, the Crude &amp; Products business plays a critical commercial role, operating in highly regulated, fast‑moving markets where high‑quality analytics, data engineering, and AI are key competitive differentiators. Our focus is to deliver secure, reliable, and trader‑centric digital solutions that simplify workflows, enhance insight, and drive commercial value without compromising risk, safety, or controls.
As a Sr. AI &amp; Data Engineer in Trading Analytics, you will work directly with front‑office teams to design, build, and productionize AI‑driven analytics over market pricing and fundamental data. You will combine Databricks‑based data engineering, statistical and econometric techniques, and modern GenAI/agentic workflows to deliver insight at speed. This is a hands‑on individual contributor role with a strong bias toward practical delivery. You will operate in a high‑touch, hybrid model, iterating rapidly with users on‑desk, while engineering solutions to production‑grade standards using modern CI/CD and governance practices. Also, this role is rapid prototyping, iterative learning, and incremental production hardening, balanced with adherence to engineering, security, and governance frameworks to maintain speed and reliability.
Accountabilities:
Front‑Office Analytics &amp; Insight
<ul><li>Design, build, and deliver AI‑driven analytics for traders and analysts, including seasonality analysis, correlation studies, regression models, forecasting, and scenario modelling over market pricing and fundamentals data
</li><li>Work closely with traders and analysts to translate ambiguous business questions into clear analytical problem statements and working solutions
</li><li>Clearly communicate analytical outputs and AI‑generated insights to commercial stakeholders in a concise and actionable manner
</li></ul>Data Engineering &amp; Platforms
<ul><li>Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
</li><li>Support ingestion, modelling, and transformation of large‑scale time‑series pricing and fundamentals datasets
</li><li>Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards
</li></ul>AI, GenAI &amp; Agentic Solutions
<ul><li>Build and enhance GenAI and agent‑based solutions to support trading analytics, including:
<ul><li>Retrieval‑Augmented Generation (RAG)
</li><li>Prompt engineering
</li><li>Agent orchestration using frameworks such as LangGraph
</li><li>Tool calling and guardrails
</li></ul></li><li>Integrate LLM‑based workflows with structured trading and market data to augment analysis, insight generation, and decision support
</li><li>Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment
</li></ul>Production, Quality &amp; Operations
<ul><li>Contribute to production‑ready analytics and AI solutions with testing, documentation, versioning, and basic observability
</li><li>Follow established CI/CD and DevOps practices, including use of Git‑based workflows and automated testing
</li><li>Support governance requirements such as PII handling, data lineage, and auditability in line with Trading &amp; Supply standards
</li></ul>What you bring
<ul><li>Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
</li><li>Bachelor&rsquo;s degree or equivalent relevant years of experience
</li><li>At least 7 years of relevant experience
</li><li>Hands‑on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
</li><li>Proven data engineering skills, including pipeline development, data modelling, and performance optimization
</li><li>Solid foundation in statistics, econometrics, or data science, with experience applying these techniques to time‑series or market‑style datasets
</li><li>Practical experience building or contributing to LLM‑based solutions, including prompt engineering and retrieval‑based approaches
</li><li>Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
</li><li>Experience working in collaborative engineering teams using Git and CI/CD pipelines
</li><li>Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders
</li></ul>Additional Preferred Qualifications
<ul><li>Exposure to commodity or financial trading environments
</li><li>Understanding of market fundamentals, supply‑demand dynamics, or risk concepts
</li><li>Experience with MLflow, feature stores, or vector databases
</li><li>Familiarity with working in regulated or risk‑sensitive environments
</li></ul>What we offer
The base salary range for this position is $149,000 - $223,000 per year . Individual pay will be based on various factors, such as relevant work experience, education, certifications, skill level, seniority, and internal equity.
For regular full-time or regular part-time employees of the Company (participating companies as listed in the Summary Plan Description), insurance coverage options include medical, dental, vision coverage, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs. Employees also participate in a company pension plan and a 401(k) plan. Paid leave includes up to 6 weeks of paid vacation time, up to 11 paid holidays, and parental leave offering 16 weeks of paid leave for birthing parents, and 8 weeks of paid leave for non-birthing parents.
Additionally, employees are eligible for short-term disability leave for up to 26 weeks at 100% or 50% of base pay as well as Long-Term Disability insurance. Shell also offers other compensation such financial reimbursement for adoption, wellness, education, and personal learning expenses, and some roles are eligible for discretionary long-term incentives. For interns, eligible benefits include medical, dental, and vision coverage, life insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs; participation in a 401(k) plan; and paid leave for up to 11 paid holidays. Additional information on Shell&rsquo;s US benefit programs can be found at https://www.shell.us/careers/about-careers-at-shell/rewards-and-benefits.html .
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You&rsquo;ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You&rsquo;ll be able to balance your priorities as you become the best version of yourself.
<ul><li>Progress as a person as we work on the energy transition together
</li><li>Continuously grow the transferable skills you need to get ahead
</li><li>Work at the forefront of technology, trends, and practices
</li><li>Collaborate with experienced colleagues with unique expertise
</li><li>Achieve your balance in a values-led culture that encourages you to be the best version of yourself
</li><li>Benefit from flexible working hours, and the possibility of remote/mobile working
</li><li>Perform at your best with a competitive starting salary and annual performance related salary increase &ndash; our pay and benefits packages are considered to be among the best in the world.
</li><li>Take advantage of paid parental leave, including for non-birthing parents
</li><li>Join an organization working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply
</li><li>Grow as you progress through diverse career opportunities in national and international teams
</li><li>Gain access to a wide range of training and development programs
</li></ul>We'd like you to know that Shell has a bold goal: to become one of the world&rsquo;s most diverse and inclusive companies. .
Shell in The United States
Shell has been in the US for more than 100 years, leading the sector in energy, petrochemicals and refined products. Today, we provide millions of Americans with the energy needed to heat and cool their homes and power the economy.
We operate in all 50 states, from our Deepwater platforms in the Gulf of America to the Pennsylvania Chemicals complex and our miles of pipelines throughout the US.
We reach our customers through our 13,000 branded retail stations, and we are number 1 in gasoline sales. We also own the #1 brand of motor oil in the U.S. &ndash; Pennzoil&reg; &ndash; made from natural gas.
We are excited to play a key role in the move to net carbon emissions while providing the oil and gas needed by society for many decades to come.
<ul><li>- 
</li></ul> 
DISCLAIMER:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability. As a US Federal Contractor, hiring selections are subject to periodic audit review and documentation of your selections should be maintained for a period of three calendar years. It is the policy of Shell in the U.S. (&ldquo;Shell&rdquo;) to provide equal opportunity to all individuals, employees and all qualified applicants for employment consistent with employment requirements and qualifications. Shell prohibits discrimination based on race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, citizenship, genetic information, or other protected status under federal, state or local laws. All employees are expected to support this policy and contribute to an environment of equal opportunity. If you need an accommodation for a disability during the resourcing process, please speak with an HR representative.</div>

Sr. AI & Data Engineer–Trading Analytics

Tarvos Talent

<div>
 
 Tarvos Talent is partnering with a large and growing energy infrastructure organization, is seeking an ambitious Financial Analyst / Accounting Analyst to join a high-performing team supporting revenue forecasting, financial planning, business analytics, and strategic decision-making.
 
 
 This is an outstanding opportunity for an up-and-coming finance professional who enjoys working with large datasets, solving complex business problems, and partnering directly with executive leadership. The team is known for promoting from within, offering strong mentorship, and providing significant exposure to senior leadership and strategic initiatives.
 
 
 What You'll Be Doing:
 
 
 &bull; Maintain and enhance long-range revenue planning models
 
 
 &bull; Support monthly revenue forecasting and business planning activities
 
 
 &bull; Analyze contracts, revenue streams, market trends, and key business drivers
 
 
 &bull; Develop financial analyses and reporting used by executive leadership
 
 
 &bull; Partner with Commercial, Finance, Regulatory, Tax, and Corporate Development teams
 
 
 &bull; Create dashboards, reporting tools, and business insights from large datasets
 
 
 &bull; Assist with process improvements, automation projects, and reporting enhancements
 
 
 &bull; Present findings and recommendations to leadership and key stakeholders
 
 
 &bull; Support ad hoc analysis and special projects impacting strategic business decisions
 
 
 What We're Looking For:
 
 <ul>
 <li>
 Bachelor's Degree in Accounting, Finance, Economics, Mathematics, or related field
 </li>
 <li>
 2&ndash;5 years of experience in Financial Analysis, FP&amp;A, Corporate Finance, Energy Finance, or related analytical roles
 </li>
 <li>
 Strong analytical, critical thinking, and problem-solving abilities
 </li>
 <li>
 Advanced Excel skills and experience working with large datasets
 </li>
 <li>
 Strong communication skills and ability to present information to leadership
 </li>
 <li>
 Self-starter who can work independently and thrive in an environment with ambiguity
 </li>
 </ul>
 
 Preferred Experience:
 
 
 &bull; Power BI, Tableau, SQL, Python, or similar analytical tools
 
 
 &bull; Energy, natural gas, infrastructure, utilities, or commodity-related industries
 
 
 &bull; Revenue forecasting, financial modeling, budgeting, or planning experience
 
 
 &bull; CPA, MBA, or advanced business education
 
 
 Why Consider This Opportunity?
 
 
 &bull; High visibility with executive leadership
 
 
 &bull; Significant exposure to forecasting, planning, and strategic analysis
 
 
 &bull; Strong culture, mentorship, and work-life balance
 
 
 &bull; Hybrid schedule with weekly remote flexibility (Seeking candidates local to Houston, Tx)
 
 
 &bull; Proven track record of internal promotions and career growth
 
 
 &bull; Opportunity to develop into a future finance leader
 
 
 If you're looking for a role that combines financial analysis, data analytics, business strategy, and leadership exposure, I'd love to connect.
 
</div>

Financial Analyst

Shell Energy Retail

<div>Texas, United States of America 
 
Job Family Group:
Information Technology (IT) 
 
Worker Type:
Regular 
 
Posting Start Date:
June 11, 2026 
 
Business Unit:
Projects and Technology 
 
Experience Level:
Experienced Professionals 
 
Job Description:
What&rsquo;s the role
Shell is seeking a Sr. AI &amp; Data Engineer &ndash; Trading Analytics (also known internally as Data Engineering Lead) to join its team in Houston, TX. This role is ideal for an AI Engineer with a strong foundation in data engineering who can design and deliver AI-driven front-office analytics and GenAI/agentic solutions, collaborating closely with traders and trading analysts.
Shell Trading &amp; Supply is one of the world&rsquo;s leading energy and commodity trading organizations, operating across crude, refined products, gas, LNG, power, and environmental products. Trading sits at the heart of Shell&rsquo;s energy transition, requiring rapid, data‑driven decision making under complex market conditions. Within Trading &amp; Supply, the Crude &amp; Products business plays a critical commercial role, operating in highly regulated, fast‑moving markets where high‑quality analytics, data engineering, and AI are key competitive differentiators. Our focus is to deliver secure, reliable, and trader‑centric digital solutions that simplify workflows, enhance insight, and drive commercial value without compromising risk, safety, or controls.
As a Sr. AI &amp; Data Engineer in Trading Analytics, you will work directly with front‑office teams to design, build, and productionize AI‑driven analytics over market pricing and fundamental data. You will combine Databricks‑based data engineering, statistical and econometric techniques, and modern GenAI/agentic workflows to deliver insight at speed. This is a hands‑on individual contributor role with a strong bias toward practical delivery. You will operate in a high‑touch, hybrid model, iterating rapidly with users on‑desk, while engineering solutions to production‑grade standards using modern CI/CD and governance practices. Also, this role is rapid prototyping, iterative learning, and incremental production hardening, balanced with adherence to engineering, security, and governance frameworks to maintain speed and reliability.
Accountabilities:
Front‑Office Analytics &amp; Insight
<ul><li>Design, build, and deliver AI‑driven analytics for traders and analysts, including seasonality analysis, correlation studies, regression models, forecasting, and scenario modelling over market pricing and fundamentals data
</li><li>Work closely with traders and analysts to translate ambiguous business questions into clear analytical problem statements and working solutions
</li><li>Clearly communicate analytical outputs and AI‑generated insights to commercial stakeholders in a concise and actionable manner
</li></ul>Data Engineering &amp; Platforms
<ul><li>Build and maintain scalable, reusable data pipelines on Databricks using PySpark/Spark, SQL, Delta Lake, and Unity Catalog
</li><li>Support ingestion, modelling, and transformation of large‑scale time‑series pricing and fundamentals datasets
</li><li>Optimize pipelines for performance, reliability, and cost efficiency, following platform and data governance standards
</li></ul>AI, GenAI &amp; Agentic Solutions
<ul><li>Build and enhance GenAI and agent‑based solutions to support trading analytics, including:
<ul><li>Retrieval‑Augmented Generation (RAG)
</li><li>Prompt engineering
</li><li>Agent orchestration using frameworks such as LangGraph
</li><li>Tool calling and guardrails
</li></ul></li><li>Integrate LLM‑based workflows with structured trading and market data to augment analysis, insight generation, and decision support
</li><li>Prototype solutions quickly, gather user feedback, and help harden selected use cases for production deployment
</li></ul>Production, Quality &amp; Operations
<ul><li>Contribute to production‑ready analytics and AI solutions with testing, documentation, versioning, and basic observability
</li><li>Follow established CI/CD and DevOps practices, including use of Git‑based workflows and automated testing
</li><li>Support governance requirements such as PII handling, data lineage, and auditability in line with Trading &amp; Supply standards
</li></ul>What you bring
<ul><li>Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
</li><li>Bachelor&rsquo;s degree or equivalent relevant years of experience
</li><li>At least 7 years of relevant experience
</li><li>Hands‑on experience with Databricks and/or Spark (PySpark, SQL, Delta Lake; Unity Catalog desirable)
</li><li>Proven data engineering skills, including pipeline development, data modelling, and performance optimization
</li><li>Solid foundation in statistics, econometrics, or data science, with experience applying these techniques to time‑series or market‑style datasets
</li><li>Practical experience building or contributing to LLM‑based solutions, including prompt engineering and retrieval‑based approaches
</li><li>Familiarity with GenAI frameworks and tooling (e.g., LangGraph or similar orchestration patterns)
</li><li>Experience working in collaborative engineering teams using Git and CI/CD pipelines
</li><li>Strong communication skills and the ability to work directly with analysts, traders, and other business stakeholders
</li></ul>Additional Preferred Qualifications
<ul><li>Exposure to commodity or financial trading environments
</li><li>Understanding of market fundamentals, supply‑demand dynamics, or risk concepts
</li><li>Experience with MLflow, feature stores, or vector databases
</li><li>Familiarity with working in regulated or risk‑sensitive environments
</li></ul>What we offer
The base salary range for this position is $149,000 - $223,000 per year . Individual pay will be based on various factors, such as relevant work experience, education, certifications, skill level, seniority, and internal equity.
For regular full-time or regular part-time employees of the Company (participating companies as listed in the Summary Plan Description), insurance coverage options include medical, dental, vision coverage, life Insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs. Employees also participate in a company pension plan and a 401(k) plan. Paid leave includes up to 6 weeks of paid vacation time, up to 11 paid holidays, and parental leave offering 16 weeks of paid leave for birthing parents, and 8 weeks of paid leave for non-birthing parents.
Additionally, employees are eligible for short-term disability leave for up to 26 weeks at 100% or 50% of base pay as well as Long-Term Disability insurance. Shell also offers other compensation such financial reimbursement for adoption, wellness, education, and personal learning expenses, and some roles are eligible for discretionary long-term incentives. For interns, eligible benefits include medical, dental, and vision coverage, life insurance, Business Travel Accident Insurance, and Occupational Accidental Death Benefit programs; participation in a 401(k) plan; and paid leave for up to 11 paid holidays. Additional information on Shell&rsquo;s US benefit programs can be found at https://www.shell.us/careers/about-careers-at-shell/rewards-and-benefits.html .
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You&rsquo;ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You&rsquo;ll be able to balance your priorities as you become the best version of yourself.
<ul><li>Progress as a person as we work on the energy transition together
</li><li>Continuously grow the transferable skills you need to get ahead
</li><li>Work at the forefront of technology, trends, and practices
</li><li>Collaborate with experienced colleagues with unique expertise
</li><li>Achieve your balance in a values-led culture that encourages you to be the best version of yourself
</li><li>Benefit from flexible working hours, and the possibility of remote/mobile working
</li><li>Perform at your best with a competitive starting salary and annual performance related salary increase &ndash; our pay and benefits packages are considered to be among the best in the world.
</li><li>Take advantage of paid parental leave, including for non-birthing parents
</li><li>Join an organization working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply
</li><li>Grow as you progress through diverse career opportunities in national and international teams
</li><li>Gain access to a wide range of training and development programs
</li></ul>We'd like you to know that Shell has a bold goal: to become one of the world&rsquo;s most diverse and inclusive companies. You can get to know more about how we're working towards that goal, click here .
Shell in The United States
Shell has been in the US for more than 100 years, leading the sector in energy, petrochemicals and refined products. Today, we provide millions of Americans with the energy needed to heat and cool their homes and power the economy.
We operate in all 50 states, from our Deepwater platforms in the Gulf of America to the Pennsylvania Chemicals complex and our miles of pipelines throughout the US.
We reach our customers through our 13,000 branded retail stations, and we are number 1 in gasoline sales. We also own the #1 brand of motor oil in the U.S. &ndash; Pennzoil&reg; &ndash; made from natural gas.
We are excited to play a key role in the move to net carbon emissions while providing the oil and gas needed by society for many decades to come.
<ul><li>- 
</li></ul> 
DISCLAIMER:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability. As a US Federal Contractor, hiring selections are subject to periodic audit review and documentation of your selections should be maintained for a period of three calendar years. It is the policy of Shell in the U.S. (&ldquo;Shell&rdquo;) to provide equal opportunity to all individuals, employees and all qualified applicants for employment consistent with employment requirements and qualifications. Shell prohibits discrimination based on race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, citizenship, genetic information, or other protected status under federal, state or local laws. All employees are expected to support this policy and contribute to an environment of equal opportunity. If you need an accommodation for a disability during the resourcing process, please speak with an HR representative.</div>

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