Data science internship jobs in Tomball, TX

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

FP&A Intern and Data Analytics Intern (The Woodlands, Texas) Huntsman is now searching for a FP&A Intern and Data Analytics Intern located at our corporate headquarters in The Woodlands, TX. This internship is for Summer 2026. Our summer intern program is tailored to individuals who are currently enrolled full-time students at an accredited four-year college or university. The internship runs from May to August - dependent on the school calendar. The goal of the Huntsman Intern Program is to provide a structured program that will equip interns with the skills and experience to help prepare for a successful career. As a FP&A Intern and Data Analytics Intern, you will: Support the team in providing timely, accurate, and insightful reporting and analysis Assist with PowerPoint slides for various meetings Provide support in reporting projects, such as financial modeling and benchmarking analyses Assist with budget and forecast preparation Provide assigned financial costing reporting on a timely basis to the business Participate in reporting improvements to online system reporting Report building in Power BI and IBM PA Provide assigned offline financial reporting on a timely basis to the business Support set up and improvement of online financial reporting Conduct profitability analysis for assigned areas Intern rotates between activities and assignments for the business What are we looking for in the ideal Candidate? Full time college student at the Junior, Senior or Master level by the end of Spring 2026 Must be currently enrolled at an accredited university seeking a Bachelor's or Master's degree in Accounting, Economics, MIS or Finance Must have 3.0 or higher GPA Must have courses or experiences that demonstrates and understanding of accounting or financial data Must be authorized to work in U.S. without sponsorship Independent self-starter with high level of confidence and energy and a critical Strong analytical and conceptual thinking skills Excellent computer skills; especially proficient in Excel and PowerPoint Knowledge of building dashboards in Power BI is a plus Additional Locations:

Role: Data Scientist Role : 6 months Job Details: Must Have Skills (Top 2 technical skills only) Minimum 8 years of relevant experience in applying data mining, artificial intelligence, signal processing, machine learning, optimization etc. in business analytics or scientific/engineering settings Experience with statistical software, scripting languages, tools, and platforms (e.g., R, Python, Hadoop etc.) Nice to have skills (Top 2 only) A demonstrated ability to solve challenging business problems using a data science approach by developing novel and/or adapting existing computational methods Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately. Additional Information Thanks & Regards Praveen K. Paila ************

About Us NorthStar Energy Services, a Quanta Services, Inc. (NYSE:PWR) company, is based in Channelview, TX and provides engineering, design, procurement, construction and support services to the chemical, petrochemical, pipeline, oil & gas, bulk storage and terminal industries throughout the country. We offer individual project services as well as turnkey EPC project implementation. NorthStar possesses the skills and expertise to self-perform the design and installation of civil, structural, mechanical, piping, electrical, and instrumentation systems throughout a broad array of industrial applications. Joining our team means being part of an organization that values drive and inclusion. We focus on career development and reward excellence, recognizing each team member's unique contributions. We're at the forefront of powering modern life. Discover how your skills and dedication can make a real difference to us. About this Role NorthStar Energy Services, a Quanta Services Company, is seeking a Scheduling Data Coordinator which is responsible for collecting, validating, and organizing project performance data from multiple job sites to support accurate and timely project schedule updates. This role serves as a key liaison between field teams and the Lead Project Scheduler, ensuring that site-level progress, resource usage, and milestone data are captured, standardized, and communicated effectively. This position plays a critical part in maintaining the integrity of the project schedule by enabling the project controls team to make informed decisions that drive operational efficiency and forecasting accuracy. This position will be located ON-SITE in Afton, TX. What You'll Do * Gather daily and weekly progress data from field sites, including quantities installed, equipment utilization, manpower, and schedule impacts. * Standardize and compile field reports into consistent formats for input into project scheduling systems (e.g., Primavera P6 or equivalent). * Provide validated data to the Lead Project Scheduler to assist in updating and maintaining master project schedules. * Serve as the primary point of contact between site teams and project controls for schedule-related data and documentation. * Review field data submissions for accuracy, completeness, and consistency prior to integration into project controls systems. What You'll Bring * Bachelor's degree in Construction Management, Engineering, Business, or a related technical discipline, preferred * 3+ years of experience in project controls, cost management, or scheduling * Background in construction, engineering, or utilities preferred. * Familiarity with earned value management (EVM) and project lifecycle documentation, preferred * Strong organizational skills with attention to detail and data integrity. * Proficiency in Excel and familiarity with scheduling or project controls software (e.g., Primavera P6, MS Project, or similar). * Excellent communication skills for working with field personnel, schedulers, and management. * Ability to work independently and manage multiple priorities under tight deadlines. #LI-DG1 What You'll Get As a Quanta Services employee, we offer a wide range of benefits to fit your needs. * 401(k) with immediate matching and vesting * Fully comprehensive benefits packages; Medical, Dental, Vision * Your choice of PPO, HSA, FSA * Short term and long term benefits * Employee discounts on consumer goods Equal Opportunity Employer All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.We are an Equal Opportunity Employer, including disability and protected veteran status. We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company's Human Resources department.

Job Title: Data Scientist The Chord Energy Data Scientist role is a technical individual contributor role, focused on supporting business opportunities through the use of exploratory data analytics, machine learning models and generative AI opportunities. This position is located in Downtown Houston, TX. Hybrid work schedule is an option for remote work on Mondays and Fridays. Level and salary commensurate with experience. Essential Job Functions The primary responsibility involves leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations. Additionally, the Data Scientist will contribute to the adoption of new technologies and best practices for analytical workflows. The ability to work well in a team and in support of core business functions will be critical to the success of this role. This job description is not intended to be an all-inclusive list of duties and responsibilities of the position. Incumbents will be required to follow any other job-related instructions and duties outside of their normal responsibilities as assigned by their supervisor. Minimum Qualifications * Master's or Bachelor's degree in Data Science, Computer Science, or related field * 5+ years in data science/ML (including time-series, geospatial, and predictive modeling) * Proven experience and/or education in data analytics and management of large datasets * Proficiency in Python (pandas, scikit-learn) and SQL; experience with Azure ML/MLflow and deploying models to production. * Domain familiarity with upstream oil & gas workflows (subsurface and operations) and the ability to translate expert knowledge into features and experiments. * Strong interpersonal and collaborative skills * Demonstrated ability to work in a team-oriented environment * Excellent presentation skills * Ability to work in a fast-paced and fluid environment; flexible with the demands of a growing company * Strong coaching, prioritization, and stakeholder-management skills; able to convert business problems into robust, scalable model solutions and communicate outcomes clearly. * Ability to meet deadlines * Physical Requirements and Working Conditions: Must possess mobility to work in a standard office setting and to use standard office equipment, including a computer, stamina to maintain attention to detail despite interruptions, strength to lift and carry files weighing up to 10 pounds; vision to read printed materials and a computer screen, and hearing and speech to communicate in person and over the telephone The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Preferred Qualifications * Master's degree or PHD or certification in Data Science or Data Analytics * Familiarity with additional programming languages (SQL, R, C++, etc.) * Previous Oil and Gas operator experience * Exposure to Petroleum Engineering and Geoscience workflows * Exposure to the energy sector, particularly unconventional exploitation programs This role presents an exciting opportunity for a data scientist to contribute to the advancement of Chord's data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes. EEO Statement: Chord Energy does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

The Associate Data Scientist's primary responsibility will be to assist in the computational analysis of spatial single-cell transcriptomic and proteomic data from patient tumors generated from platforms such as CosMx Spatial Molecular Imager. Analyses will involve identifying spatially localized cellular niches, characterizing immune and epithelial cell states, modeling cell-cell communication, and uncovering pathways through which host-microbe interactions influence tumor biology. The ideal candidate will have experience in cancer biology omics. At MD Anderson, we offer careers built on care, growth, and balance. Our employees enjoy a benefits package designed to support every stage of life, starting on day one. · Paid employee medical benefits (zero premium) starting on first day for employees who work 30 or more hours per week · Group Dental, Vision, Life, AD&D and Disability coverage · Paid time off (PTO) and Extended Illness Bank (EIB) paid leave accruals Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs · Tuition Assistance Program after six months of service · Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans · Employer paid life, AD&D and an illness-related reduced salary pay program Extensive wellness, recognition, fitness, employee health programs and employee resource groups Key Functions 1. Analyzation and Integration Single-Cell and Spatial Omics Data Process and interpret single-cell RNA-seq and spatial proteomic and transcriptomic datasets to identify cellular states and tumor microenvironment features. Integrate multimodal data from platforms such as CosMx, MIBI, STOmics or GeoMx to uncover spatial niches and model cell-cell and host-microbe interactions. Apply analytical methods including clustering, differential expression, trajectory inference, and spatial proximity analyses. 2. Computational Pipelines for Biological Insight Development Build, document, and maintain reproducible analysis pipelines in Python and R for high-dimensional omics datasets. Conduct pathway enrichment and network-based analyses to identify biologically relevant trends in cancer and immune responses. Generate publication-ready visualizations and figures that communicate key findings for manuscripts, grants, and presentations. 3. Collaborate, Communicate, and Document Research Outputs Partner with interdisciplinary team members to interpret data, support experimental planning, and contribute to scientific publications. Present analytical results in lab meetings and project discussions to inform ongoing research directions. Maintain well-organized code, metadata, and supplementary materials to support reproducibility and data sharing. Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field. Experience Required: Two years experience in scientific software or industry development/analysis. Preferred: Knowledge of transcriptomics and proteomics is a plus The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.************************************************************************************************ Additional Information

MINIMUM QUALIFICATIONS Education: Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master's Degree in Data Science preferred. Licenses\/Certifications: (None) Experience \/ Knowledge \/ Skills: Seven (7) years of experience in data science is required Professional experience in hospital setting, medical informatics, healthcare information technology\/finance\/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required Possesses deep understanding of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real\-world advantages\/drawbacks Proficient understanding of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Ability to communicate, gather requirements and execute storytelling with data Possesses advanced level knowledge of the data science project life cycle Proficient programming skills in addition to a working knowledge and experience of statistical analysis tools Demonstrates proficiency in problem solving, analytical reasoning and decision\-making skills Demonstrates proficiency in identifying and seeking needed information to perform problem\/situation analysis Advanced level of understanding and experience in researching and resolving data issues with a logical, instinctive, and problem\-solving mentality working with large, complex and incomplete sources Exhibits strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines Advanced understanding of SQL database management tools Exceptional analytical skills and ability to understand and interpret results based on advanced statistical techniques Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non\-technical audiences Ability to work under minimal supervision in a fast\-paced multidisciplinary environment Advanced knowledge of data science methods - time series forecasting, linear regression, A\/B testing, statistical testing, Clustering, etc. Superior customer service in the form of first\-rate work products and project management Strong ability to manage challenging client situations Strong ability to troubleshoot and recommend solutions Strong ability to translate complex information for a wide range of stakeholders PRINCIPAL ACCOUNTABILITIES Leads high priority projects that impact the organization. Leads complex issues and problems, and refers more complex issues to higher\-level staff. Provides technical supervision\/mentoring to other data scientists and trains the broader audience on data science developments. Provides leadership, coaching, and\/or mentoring to subordinate group. Develops custom data models and algorithms to apply to data sets. Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making. Performs research, analysis, and modeling on organizational data. Maintains existing models and evaluates their goodness of fit. Provides in\-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining\/visualization and pattern analysis tools. Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams. Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes. Assists with the evaluation of data science vendors and tools. Ensures safe care to patients, staff and visitors; adheres to all **** policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service. Promotes individual professional growth and development by meeting requirements for mandatory\/continuing education and skills competency; supports department\-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff. Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Companservice standards by providing safe, caring, personalized and efficient experiences to patients and colleagues. Other duties as assigned. 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**Remote Opportunity** Based in Houston, Texas, with offices in London and New York, SynMax is a pioneering data intelligence company specializing in maritime and energy intelligence. By integrating advanced satellite imagery and AI, SynMax delivers unparalleled insights into maritime operations, oil and gas development, coal inventory, and LNG flows, enabling businesses and organizations to make data-driven decisions with precision and confidence. Job Description:We are seeking a talented Data Scientist with expertise in algorithm development, Google Cloud Platform, geospatial data analysis, and relational databases to join our team. As a Data Scientist at SynMax, you will play a leading role in developing solutions for industry disrupting analytics software. The ideal candidate will have experience with data fusion. To succeed in this role you will be highly motivated and adaptable to changing needs as our company grows. Responsibilities Collaborate with analysts and domain experts to understand business requirements and translate them into technical product solutions. Design and implement probabilistic and deterministic algorithms for information extraction and fusion from a variety of remote sensing and proprietary data sources. Perform exploratory data analysis for problem definition and refinement. Develop and test candidate algorithms to demonstrate tradeoffs for final selection. Assemble and clean training and test datasets. Perform model training. Iterate to meet model performance requirements. Develop and maintain Python-based applications for processing volatile live data streams on Google Cloud Platform. Work closely with relational databases and execute complex queries to extract actionable insights from geospatial data. Optimize application performance and scalability to ensure flawless operation under heavy load conditions. Implement best practices for code quality, testing, and deployment automation in a continuous integration and deployment (CI/CD) environment. Stay updated on emerging technologies and industry trends related to real-time data processing, algorithms, machine learning, geospatial analysis, and cloud computing. Qualifications PhD or MS degree in Computer Science (preferred), or STEM field. Ability to apply machine learning, statistics, and optimization principles to problem solving. Experience in linear programming and graph based methods are a plus. 2 years minimum experience in a Data Scientist role. Hands-on experience building Google Cloud Platform highly scalable data processing pipelines for volatile live data streams. Ability to take ownership of project tasks through to completion, producing positive outcomes despite unforeseen complexity. Knowledge of geospatial data formats (e.g., GeoJSON, Shapefiles), libraries (e.g., Geopandas, GDAL, Fiona, Shapely) and spatial database query syntax (e.g., PostGIS) Proficient in image processing, algorithm and machine learning libraries (SciPy, Pytorch, Tensorflow, Scikit-Image, Scikit-Learn, OpenCV) The ability to work effectively in a team environment with remotely located staff in different time zones, demonstrating strong communication and coordination skills. What We Offer Competitive salary and benefits package. Opportunities for professional development and career growth. A dynamic and collaborative work environment where innovation is encouraged. Access to the latest tools and technologies. Equal Opportunity Statement:SynMax is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. 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.

# **Data Scientist \- Energy Trading** **Company:** Expand Energy Our core values - Stewardship, Character, Collaborate, Learn, Disrupt - are the lens through which we evaluate every business decision\. As a dynamic, growing company that offers extremely competitive compensation and benefits, our employees are our most valued assets and the foundation of Expands performance among our E&P competitors\. We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team\. We realize that, historically, underrepresented groups feel the need to be 100% qualified in order to apply\. If you meet any combination of our requirements, we encourage you to apply\. We strive to hire people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger\. ## **Job Summary** This isn't about maintaining existing systems \- you'll be architecting the analytical foundation that spots major market shifts or dislocations and drives real commercial value\. You'll lead the development of sophisticated models and analytical frameworks across natural gas, LNG, power, and related commodities while shaping the data strategy that supports critical trading decisions\. The role combines hands\-on advanced modeling with strategic thinking about data acquisition and architecture, with the autonomy to steer the ship and move quickly as both you and the business scale up\. Reporting structure within Fundamental & Quantitative Analytics team will be determined based on team composition and individual experience levels\. ## **Job Duties & Responsibilities** + Lead end\-to\-end advanced modeling initiatives from identifying data needs and acquisition strategies \(vendor sources, web scraping, internal systems, unstructured data\) through to deployment of production models + Develop and implement sophisticated analytical techniques including machine learning, time series forecasting, optimization models, and statistical analysis to address critical business themes with speed and accuracy + Serve as the technical visionary for applying novel analytical techniques and emerging technologies including machine learning, artificial intelligence, and large language models to energy commodity challenges + Collaborate closely with the Lead Data Engineer to develop integrated data strategy that supports both current analytical needs and cutting\-edge technological applications + Collaborate closely with data engineers and analysts to translate complex business requirements into technical data solutions, ensuring seamless integration from data acquisition to model deployment + Drive rapid response capabilities for market analysis, developing models and insights that can quickly adapt to changing market conditions and emerging opportunities + Build and maintain advanced analytical outputs including predictive models, risk assessment tools, optimization algorithms, and real\-time monitoring systems + Automate and streamline analytic processes and products + Establish best practices for modeling processes \(e\.g\. technical documentation, code review, version control, etc\.\) + Partner with the Director and analytics team members, traders, and commercial stakeholders to identify high\-impact analytical opportunities and translate findings into actionable business intelligence + Contribute to establishing best practices for model development, validation, and deployment while mentoring junior team members on advanced analytical techniques ## **Job Specific Skills** + Strong background in machine learning, statistical modeling, optimization, and time series analysis with proven ability to apply these techniques to real\-world business problems + Proficiency with advanced analytical tools including Python/R, SQL, machine learning frameworks \(scikit\-learn, TensorFlow, PyTorch\), and cloud computing platforms + Experience with diverse data acquisition and integration methods including APIs, web scraping; database management, schema development, and application of metadata layers; and working with both structured and unstructured data sources + Strong understanding of data architecture principles and ability to contribute to strategic decisions about data storage, processing, and modeling infrastructure, including cloud compute solutions \(Snowflake experience preferred but not required\) + Energy commodity market knowledge or demonstrated ability to quickly develop deep domain expertise in complex technical markets + Excellent communication skills with ability to translate complex analytical concepts into clear business insights for both technical and non\-technical stakeholders ## **Education** Minimum: High school diploma or GED Preferred: Bachelor's degree \- from accredited university \- Mathematics, Statistics, Analytics, Engineer, Computer Science, or related field Preferred: Master's degree \- from accredited university ## **Experience** Minimum: 2 \- 5 years related work experience Prior or current data science, quantitative analysis, or related technical roles with demonstrated expertise in advanced modeling techniques ## **Additional Qualifications** + Natural Gas Market Experience: Experience with natural gas market fundamentals including basis trading, pipeline systems, storage dynamics, and location\-specific pricing datasets\. Candidates from adjacent markets \(power, crude oil, financial commodities\) with strong analytical aptitude will be considered + Energy Trading Background: Experience at energy trading firms, commodity companies, or related commercial energy organizations with understanding of market dynamics and trading applications + Advanced Technical Skills: Experience with optimization software \(Gurobi, CPLEX\), advanced time series methods, or specialized domain modeling techniques + Data Strategy Experience: Track record of contributing to or leading data architecture decisions, platform selection, or analytical infrastructure development + Cross\-Functional Leadership: Experience working across technical and business teams to drive analytical initiatives from conception to implementation + Real\-Time Analytics: Experience developing models and systems that support time\-sensitive business decisions or trading applications + Emerging Technologies: Experience with or strong interest in applying novel technologies including large language models, advanced AI techniques, or cutting\-edge analytical methods to business applications Expand Energy takes necessary action to ensure that all applicants are treated without regard to their race, color, religion, sex, sexual orientation, age, gender identity, national origin, genetic information, disability, pregnancy, military or veteran status or any other protected characteristic as established by law\. Expand Energy Corporation's operations are focused on discovering and developing its large and geographically diverse resource base of unconventional oil and natural gas assets onshore in the United States\. **Nearest Major Market:** Houston **Job Segment:** Pipeline, Cloud, Data Architect, Quantitative Analyst, Statistics, Energy, Technology, Data

Our client is currently seeking a Data Scientist to join their team in Bangalore, India. The Data Scientist will be supporting automation projects utilizing large data sets to find opportunities for product and process optimization. They will work with stakeholders across the finance organization to identify opportunities to leverage company data to drive business solutions. Daily they will analyze data to create custom data models and algorithms to assess the effectiveness and accuracy of data sources and data gathering techniques. They will use predictive modeling to increase and optimize customer experience, revenue generation, ad targeting, and other business outcomes. They will be responsible for developing processes and tolls to monitor & analyze model performance and data accuracy. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 5+ years of experience as a Data Scientist Experience with Databricks, Python, and Power BI to manipulate data and draw insights from large data sets Understanding of the relationship between multiple data sets and how to build stories within Experience creating & using advanced machine learning algorithms & statistics (simulation, scenario analysis, modeling, etc.) Experience visualizing & presenting data for stakeholders using Power BI Experience with SQL and database management Bachelors degree Finance acumen/understanding of financial data

If your background is in Accounting, Business, or Finance, learn more about internship opportunities at Charles River Associates! Charles River Associates is a leading global consulting firm that provides economic, financial, and business management expertise to major law firms, corporations, and governments around the world. CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues. Since 1965, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analysis that provide clients with clear, implementable solutions to complex business concerns. Practices seeking to hire candidates with this profile include (hiring locations listed): Finance (Chicago, Boston) Our Finance experts work on valuation issues (shareholder class actions and other corporate valuation disputes), as well as matters focused on the functioning of financial markets and institutions (alleged market manipulation and insider trading). Forensic Services - Forensic Accounting (Boston, Chicago) Our Forensic Services practice uses cross-trained forensic professionals to assist companies and their counsel in independently responding to allegations of fraud, waste, abuse, misconduct, and non-compliance. Intellectual Property (Houston, New York) Our Intellectual Property team provides expert witness testimony regarding economic damages as well as non-litigation consulting services including valuation and compliance for all types of intellectual property to assist clients in achieving their strategic and financial objectives. Learn more about our work by reviewing our Services and Industries on our website. Position Overview Our Summer Analyst/Associate Internship program mirrors the analyst experience to give you an understanding of our business and experience project work at Charles River Associates. Throughout the 8-10 week program, Analyst/Associate Interns work alongside senior colleagues to deliver live client consulting projects within the practice area. Along the way, you'll benefit from professional development and wellness support programs, social events to connect you with peers and a collegial work environment. Successful interns will be offered a full-time position following graduation. During the internship program, you may work on many aspects of a project: Work alongside, and in a collaborative environment with, talented and diverse colleagues, including PhD-trained economists, finance and accounting professionals (CFAs and CPAs), and valuation experts; Conduct economic and industry research while analyzing client materials to build an understanding of a case's issues; Perform/develop financial and economic analyses or valuation models to support case theories and present those results to colleagues and clients; Program, build models, and perform regression analyses using languages such as Excel, Stata, R, Python, SQL, or SAS; Investigate accounting irregularities and respond to allegations of fraud, misconduct, waste, and abuse; Use your accounting and financial skills to prepare analyses of financial data, including financial models, for litigation and expert reports and testimony; Investigate and analyze financial evidence, including financial records and transactions, to identify trends and anomalies, and clearly and concisely organize and summarize your findings; Leverage your database skills to effectively analyze large data sets; Communicate with team members, clients, and other professionals, to share investigative and analytical findings, and assist with the drafting of written reports to summarize procedures performed and findings. Check out our blog about a typical day at CRA and how you can make an impact ! Desired Qualifications Bachelor's or Master's degree candidates graduating in December 2026/Summer 2027 with an academic focus in Accounting, Business, Finance, or a related area; Solid working knowledge of finance, accounting, and economic methodologies; Command of a broad range of research and quantitative analysis skills (including strong Excel skills); Familiarity with generally accepted accounting principles, corporate governance, and regulatory environments; Experience in gathering, standardizing, and analyzing voluminous transactional data; Experience in data analysis and intelligence gathering, including querying and mining large data sets to discover transaction patterns, examining financial data, and filtering for targeted information; Curious and analytical thinkers who bring creative approaches to non-standard problems; Effective written and oral communication skills; Demonstrated high level of initiative and leadership; Strong teamwork and collaboration capabilities; Excellent time management and task prioritization skills; Clear and demonstrated interest in consulting through coursework, work experience, activities, or attendance at CRA recruiting events. To Apply To be considered for a position in the United States, we require the following: Resume - please include current address, personal email and telephone number; Cover letter - please describe your interest in CRA and how this role matches your goals. Also, please note if you have interest in a particular practice and/or a location preference; Transcript - may be unofficial. If you are interested in applying for one of our international locations, please visit our Careers site to view and apply for available jobs. Please also note that candidate resume review will commence October 15, and continue on a rolling basis until positions are filled. Career Growth and Benefits CRA's robust skills development programs, including a commitment to offering 100 hours of training annually through formal and informal programs, encourage you to thrive as an individual and team member. Beginning with research and analysis skill building, training continues with technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities. We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers. Work Location Flexibility CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognize that individuals realize a range of benefits when working from home periodically. We currently ask that individuals spend 3 to 4 days a week on average working in the office (which may include traveling to another CRA office or to a client's location), with specific days determined in coordination with your practice or team. Our Commitment to Equal Employment Opportunity Charles River Associates is an equal opportunity employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable law. The city of New York, the District of Columbia, and the state of California require CRA to include a good-faith estimate of the wage range for this role. This range is specific to individuals applying to work in our New York, California, and Washington DC offices and considers several factors including but not limited to experience, education level, and expertise. A good-faith estimate of the base wage range for this role is $30 - $36 per hour; actual total compensation may also include benefits and bonus.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers leverage RippleMatch to build high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Job DescriptionJob TitleJunior Data Analyst - Pipeline IntegrityDepartmentData AnalysisReporting ToData AnalystLocationHouston, TexasArea of responsibility Western Hemisphere -WH PIPECARE Group is currently looking for Junior Data Analyst to join our team. By providing technology and service focused solutions to the international arena of the oil and gas industry, the PIPECARE Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 20 years. Due to our global focus and international growth, PIPECARE is seeking Junior Data Analyst to support our continued growth. The general role for the Junior Data Analyst includes assisting the DA department to identify the obstructions in the pipeline in dedicated software. The responsibility of the Junior Data Analyst is to ensure that all DA tasks and DA projects related to his/her local subsidiary are executed according to the plan, corporate standards and policy approved by the Corporate Office.General Responsibilities Checking the data quality of ILI runs UT Data Analysis Reviewing the software inter phase Reviewing software user manuals Preparing/Reviewing DAD quality documentation To ensure accurate tool sensitivity values are provided to TM in Tool Checklist To prepare a specific Run assessment report To identify obstructions in the pipeline; to produce technically valid Preliminary / Final report (if applicable) To inform HO-DAD about the results and/or to implement the results into the reports To ensure that the coordinates are synchronized with the data To alert the R&D regarding the software problems To update the documentation To produce updated standard quality procedures To alert the DA Team Leader / DA Manager regarding the software problems Execute all other tasks as requested by DA Team Leader or DA Manager and/or Executive Team within the assigned job role. Key Responsibilities & Authorities Ensuring Data Integrity: Meticulously checking the data quality of ILI runs. A thorough UT data analysis to ensure that every piece of information is accurate and reliable. Software Evaluation: thoroughly review the software interface and user manuals to ensure seamless operation. Identifying any discrepancies or areas for improvement in the software's functionality. Documentation Excellence: Preparing and reviewing DAD quality documentation. Ensure that all procedures and results are meticulously recorded, providing a solid foundation for future reference and audits. Tool Sensitivity Assurance: understanding of accurate tool sensitivity values for the Tool Checklist. Ensures that the tools used are calibrated correctly, provide precise measurements and reliable data. Comprehensive Reporting: Prepare specific run assessment reports and identify obstructions in the pipeline. Ensure that the reports are technically valid and provide a clear picture of the pipeline's condition, and produce preliminary and final reports where necessary. Competency Requirements Communication : Creates and encourages two-way communication opportunities; demonstrates and promotes positive prospect, client, and work relationships; proactively addresses and manages conflict and disputes; works to achieve constructive resolution. Oral Communication : Speaks clearly and persuasively in positive or negative situations; listens and gets clarification; responds well to questions and requests. Demonstrates group presentation skills, participates in meetings. Written Communication : Writes clearly and informatively, presents numerical data effectively. Character : Demonstrates unquestionable integrity in every aspect of work and dealing with others. Consistently models desired behaviors and values established by the company. Respects diversity of perspective in discussions and demonstrates an inclusive style. Demonstrates concerns for job safety for self and others. Collaboration : Effectively builds and maintains partnerships with clients, prospects and staff at all levels across the company. Contributes to team and company success. Maintains flexibility and reacts to change appropriately. Administrative Management : Continuously manages administrative functions to ensure quality and timeliness, manages accurate and timely sales activity and performance reports, analyses report data to project trends and build forecasts. Skills & Experience High school diploma or higher (preferred but not limited to from petrochemical background; pipeline integrity; GIS field, etc.) Process analysis, requirement / functional specification development experience Quality assurance of databases, reporting experience Experience of working on large, complex and multiple databases Proficient in using analytical tools and instruments for instance Excel, Microsoft Access, Minitab and SPSS High ability to work with numbers Strong written and verbal communication skills Analytical mind which is able to process information logically Professional level of English language Accountability Assisting Data Analysts to identify the obstructions in the pipeline Ensure that all tasks and projects related to his/her local subsidiary are executed according to the plan, corporate standards and policy approved by the Corporate Office Physical and Mental Requirements: Lifting and Carrying: Ability to lift and carry up to 50 pounds. Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells. Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively. Focus and Multitasking: Ability to maintain focus and multitask effectively. Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments. Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary. About PIPECARE Group: PIPECARE Group offers comprehensive In-Line Inspection Services to identify and size pipeline threats, Utilizing advanced technologies such as Magnetic Flux Leakage, Transverse Field Inspection, Ultrasound, and specialized tools, PIPECARE ensures precise detection and assessment of various pipeline anomalies. What we do: In-Line Inspection Services PIPECARE provides In-Line Inspection Services to locate, identify, and size threats, supporting integrity management requirements. Check out our AI Technology and other cutting-edge technologies by clicking the following YouTube Links: PIPECARE Group - YouTube SMART AI CALIPER - Inspection experience like never before Inspection Technologies Magnetic Flux Leakage (MFL): Detects and sizes general corrosion and metal loss anomalies, especially circumferentially oriented. Transverse Field Inspection (TFI): Detects and sizes general corrosion and metal loss anomalies, primarily axially oriented. Ultrasound (UT): Detects and sizes general and other metal loss anomalies with high depth sizing accuracy. Ultrasonic Crack Detection: Detects and sizes cracks and colonies of cracks. Caliper (Geometry): Detects and sizes deviations in the ideal circular shape of a pipeline (dents, ovalities, wrinkles, etc.). Specialized Tools and Technologies Combo Tools: Use multiple measurement systems in various combinations. Specialized Tubing Technologies: Designed for Furnace and Downhole Operations. Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Powered by JazzHR SCxAkUC9MK

As a Data Center Quality Inspector I, you provide superb quality control services for our clients. The work includes performing essential inspections of electrical equipment and systems, such as switchgear and substations. Detailed knowledge of mechanical and instrumentation is critical to conduct inspections and interpret electrical drawings and specifications. Attentively, you ensure the equipment and technicians around you comply with company and site safety requirements. You prepare detailed daily reports about your findings, including time tracking and special inspection reports. Diligently, you approve and submit important documents such as Lockout/Tagout (LOTO) requests, team reports, and time tracking reports. You take pride in assuring that our clients receive safely installed and functional equipment every time. If you are an analytical and detail-oriented individual who communicates effectively and prioritizes safety, this could be the position for you! Travel may be required. Responsibilities Ability to read and interpret electrical drawings and specifications. Prepare written documentation such as daily narratives (work reports), special inspection reports, and daily time tracking. Perform inspections of switchgear, standby generators, protective relays, and other electrical distribution components. Submit LOTO requests, review and approve team reports, and time tracking. Ensure compliance with all company and site safety requirements. Benefits Competitive pay, depending on experience. Medical, dental, vision, 401(k) with company match, among other benefits. Holidays and paid vacation time. Extensive learning and development opportunities. Requirements: Requirements High school diploma or equivalent. Higher education degree preferred. Minimum of two years of experience inspecting, testing, commissioning, or operating electrical distribution systems. Commercial or naval nuclear experience is strongly desired. OSHA 10-hour Construction Safety training. Commitment to excellence and high standards.

Context & Environment TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers. Activities Are you passionate about data, process improvement, and the future of energy? Join TotalEnergies' Flexible Power Integration Business Unit as a Data and Process Optimization Analyst - Trainee and become a key contributor to our mission of driving operational excellence in power generation and distribution! This 12-month internship offers a unique opportunity to gain hands-on experience in the energy sector, working alongside industry experts to enhance data management, streamline reporting processes, and support strategic decision-making. If you're eager to apply your analytical skills in a dynamic, technical environment and grow your career in energy, we want to hear from you! What You Bring: * Degree in Industrial Technology, Industrial Engineering, or related field (preferred). * Solid proficiency in Microsoft Office suite, databases, and data visualization tools. Technical Skills: * Strong attention to detail and organizational skills. * Comfort working in a technical or industrial setting. * Basic understanding of power systems or energy operations (preferred). * Ability to collaborate across departments with clarity and tact. * Growth mindset and openness to learning analytical and process improvement techniques. * Proficiency in Microsoft Office, databases, and data visualization tools. Candidate Profile What You Will Do: Data Acquisition & Organization: * Collect, validate, and organize internal and external data related to energy operations, performance indicators, and compliance. * Maintain structured data repositories for ease of access and reporting. Reporting & Communication: * Prepare recurring internal reports and external regulatory submissions with accuracy and clarity. * Collaborate with technical and business teams to ensure timely information flow. File & Knowledge Management: * Develop and maintain a digital file management system for documents, reports, and operational records. * Attend cross-functional and technical meetings to capture key decisions and action items. * Distribute meeting notes to stakeholders and track follow-ups. Process Improvement: * Support the implementation of new tools, templates, and SOPs aimed at boosting productivity and reporting workflows. * Identify opportunities to simplify data collection and reporting processes Additional Information TotalEnergies values diversity, promotes individual growth and offers equal opportunity careers.

Introduction Hiring manager and Recruiter should collaborate to create the relevant verbiage. A career in IBM Consulting is rooted in long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that result in ground-breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your role and responsibilities During your internship, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career. At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll experience this culture and could advance to our associate program based on results and performance. Work experiences you could be exposed to: * Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors. * Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data. Evaluate model results contributing to data-driven insights. * Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings. * Tech-Driven Data Transformer: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers. Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit. Required education High School Diploma/GED Preferred education Bachelor's Degree Required technical and professional expertise * Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, or a related field * Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment * Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints * Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges * Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation * Willingness to travel as needed Preferred technical and professional experience * Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications * General familiarity with databases, data-engineering tools (SQL, Spark, Snowflake) and cloud platforms (e.g., IBM Cloud, Azure, AWS). Experience with NLP/LLM/GenAI is a plus * Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus These positions are anticipated to start in summer 2026. We have positions open in these locations: * Atlanta, GA * Austin, TX * Chicago, IL * Houston, TX ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

We are seeking an enthusiastic Data Governance and cloud migration Intern to join our IT team and provide support to our Data transformation & Management projects. Your role will involve performing a variety of administrative tasks, including developing project plan, timeline, budget etc. to ensure successful project completion. Provide meticulous project control, progress status, and project tracking for the duration of the project. Essential Qualifications and Education: Currently pursuing or recently completed a relevant degree or diploma program Excellent written and verbal communication skills in English (additional languages are a plus) Ability to pay attention to details and maintain accuracy in all work activities Strong organizational skills with the ability to prioritize tasks and manage time effectively Proactive problem solver with a willingness to learn new concepts and adapt to new challenges Team player with a demonstrated ability to work effectively both independently and Proficiency in digital tools including familiarity with standard office software (eg, Microsoft Office) and ability to learn and adapt to new software and tools quickly A good understanding of HR/Payroll principles and practices. Excellent communication skills, both written and verbal. Ability to build good relationships. Capability to apply discretion and maintain high levels of confidentiality. #LI-CA1 #LI-DNI Key Tasks and Responsibilities: Support day-to-day operations by assisting team members with their daily tasks, including administrative duties, data entry, scheduling, and organizing material Perform research and analysis on assigned projects or tasks, gather relevant data, and present findings in a clear and concise manner Work closely with colleagues to contribute ideas, share insights, and provide support for ongoing projects Assist in the planning, coordination, and execution of projects, ensuring timelines are met and deliverables are achieved Participate in team meetings, take detailed notes, and provide summaries of discussions and action points Assist in the creation, editing, and formatting of various documents, presentations, and reports Respond to emails, phone calls, and other inquiries in a timely and professional manner, ensuring effective communication with internal and external stakeholders

In-person | Houston, TX | Spring Internship Johnson Law Group is a fast growing plaintiffs' law firm with a national presence and more than 20 years of experience advocating for individuals and families. Headquartered in Houston, Texas, we represent clients across a wide range of practice areas including personal injury, mass tort, workers' compensation, and complex litigation. We are proud of our track record of securing meaningful results, including over $1 billion in verdicts and settlements to date. Our teams combine legal expertise with technology, data, and cross-functional collaboration to support informed decision making and high-impact outcomes. Our culture is rooted in integrity, curiosity, and accountability. We strive to create an environment where people are empowered to grow, contribute, and do meaningful work every day. About the Role We're seeking a detail-oriented and motivated Data Analyst Intern to join us for Spring 2026. This is a great opportunity for a student with strong analytical skills to contribute to real-time projects that drive decision-making across departments including Legal, Operations, Finance, and Marketing. What You'll Do Assist in collecting, cleaning, and transforming data from multiple internal systems (e.g., CRM, case management tools) Support cross-functional teams by translating business questions into technical data queries Maintain and optimize dashboards to track performance, outcomes, and operational trends Contribute to the development and testing of data automation scripts and reporting pipelines Help ensure data accuracy through routine validation and quality checks Collaborate with stakeholders on ad-hoc reporting needs and documentation What We're Looking For Currently pursuing a bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Data Science) Exposure to SQL, Python, and Snowflake for data querying and analysis Familiarity with Excel and data visualization tools such as Tableau or Power BI Comfortable working with large datasets and performing quality assurance Effective communicator who is curious, organized, and eager to learn in a collaborative environment Preferred but Not Required Experience with Salesforce or similar CRM systems Exposure to data preparation tools (e.g., Tableau Prep, Alteryx) or RPA platforms like UiPath Interest in text analysis or natural language processing tools

About GivingTuesday GivingTuesday is a global generosity movement unleashing the power of people and organizations to transform their communities and the world. The organization works with partners across sectors and borders to understand the drivers and impacts of generosity, explore giving behaviors and patterns, and use data to inspire more giving around the world. GivingTuesday offers the largest philanthropic data collaborative effort in the social sector - with unique, granular datasets from a wide range of organizations featuring key sector information As we scale up, we are expanding our team of data scientists, researchers and engineers, who will continue to grow and improve our unique data assets, methodologies, and technical infrastructure. In pursuit of the goals and expansion of the data commons, GivingTuesday partners with key organizations to leverage their expertise to manage and lead different aspects of the work. These data & technology partners (DARO, With Intent) manage staff, projects, and ongoing functions for the data commons with dedicated staff embedded in GivingTuesday in those capacities in cross-functional roles. This role is one of these positions - managed by our partner organizations but embedded in GivingTuesday's Data Team. Data Scientist Our global data science team works on a diverse set of problems and projects related to learning, insights, and impact measurement in the nonprofit sector. We are looking for a Data Scientist to join our growing team, where they will work with data engineers, analysts, and other team members to develop compelling and useful knowledge products for GivingTuesday stakeholders, including academics, data partners, the social/nonprofit sector, and the general public. In this role you will: Work with a wide range of data types including donation data, transaction records, government and census data, nonprofit tax filings, survey data on perceptions and activity, and philanthropic investment account data, gathered from collaborators and institutional partners in the nonprofit ecosystem Develop quarterly reports on sector-wide trends in monetary giving using transaction records Enhance core data and analytical pipelines by improving data quality validation, automating recurring processes, and implementing methodological updates in workflows to support evolving analytical needs Deliver and write analyses with actionable insights and communicate these findings to cross functional stakeholders of varying technical levels Manage key datasets and improve their usability by creating database dictionaries and user documentation Create impactful data visualisations and interactive data dashboards for stakeholders We are looking for someone with: Demonstrated interest in the nonprofit and philanthropic sector and use of data to promote better social outcomes Advanced analytical skills in a research context, conducting exploratory analysis and mapping data flows, integration of datasets, and reviewing data sources and tools Experience with statistical methods including hypothesis testing, regression analysis, and sampling techniques for the purposes of social science research (such as economics, mixed methods) and/ or business analytics Experience working with scripting languages (Python required) and data querying languages (SQL preferred) Solid data visualisation skills and an aptitude for translating technical outputs into compelling stories Experience with software development tools and practices (e.g. version control, testing outputs, and applying QA processes) Understanding of legislation around privacy and best practices for securing data Solid relationship management skills, with the ability to collaborate with a variety of internal and external stakeholders on complex research initiatives Outstanding written and oral communication skills in English and an ability to communicate clearly and directly Attention to detail and ability to synthesise diverse datasets GivingTuesday is actively seeking candidates with unique and diverse work backgrounds to grow our team. We are especially excited to talk to you if have: Programming skills: Python, PySpark, SQL, Databricks, Git, pandas Experience developing and maintaining analytical pipelines, including closely collaborating with Data Engineering teams Advanced Modelling: Regressions, Clustering, Dimensionality Reduction, Classification, Bayesian, Time-Series Analysis, prompt engineering Experience working with data platforms such as Databricks (or other forms of cloud data lakes/warehouses/lakehouses) Experience building data exploration tools using code-based frameworks (such as R Shiny or Streamlit, for example) An advanced degree in a quantitative research-field (definitely not required!). Non-degreed candidates must possess an extensive public record of competent, curiosity-driven data exploration on github, huggingface, kaggle, stackoverflow or similar. Location & Work Hours Remote. We are happy to consider applicants based in countries outside of where this is posted. This is a full-time position. We are looking for candidates who can overlap with a 9:00 to 5:00 EST work-day, with some flexibility. Compensation Our compensation is competitive and tailored to align with cost-of-living differences across various regions. We look forward to meeting candidates from diverse backgrounds who can bring unique perspectives to our team! For applicants in the US, our expected salary range is $50,000 to $70,000 USD per year. Application Guidelines GivingTuesday is committed to a work environment where our employees feel included, valued, and heard. If you require any accessibility accommodation in the interviewing process please let us know. We know that applying for a job takes a lot of time and energy and we treat every application with care and attention. Only those applicants who are selected will be contacted. To apply, please provide your resume and a short cover letter describing your interest in the position. We want to hear from you, in your own words. Submissions that reflect your personal perspective will stand out more than those written by AI tools.