Data Analyst
Data science internship job in Stamford, CT
A leading media and entertainment company is seeking a Data Analyst to join a driven and highly motivated team within Media Operations.
Responsibilities:
Work across the Fulfillment organization, understand voice of customer, operational requirements, and pain points
Use business acumen to thoroughly understand the operation and to develop operational expertise
Define a roadmap for data & analytics with Fulfillment leadership
Manage efforts and track progress against this roadmap
Project manage data initiatives throughout the department.
Manage vendor relationships and strategic partnerships
Manage governance processes and track operational metrics and KPIs
Prepare reports and presentations for senior leadership.
Develop new processes and workflows for measuring KPIs, collecting data, and presenting the data visually
Automate manual processes where possible
Support the department's operating rhythm for long-range planning (LRP) as needed
Qualifications:
2+ years of relevant work experience
Associate's and/or Bachelor's Degree in a Quantitative field
Experience working cross-functionally, defining requirements, managing timelines, and driving project completion
Strong problem-solving, critical thinking, and ability to draw meaningful insights from data
Data Migration Analyst
Data science internship job in Stamford, CT
Client Delivery Specialist Associate
This role offers the opportunity to contribute directly to our mission by ensuring the accuracy and integrity of our financial data. This person will be a part of a dynamic team focused on innovation and efficiency, working with cutting-edge technology to streamline client onboarding and reporting.
Responsibilities
Lead data conversion projects, including extracting, transforming, and loading (ETL) data between portfolio management systems. This involves understanding source system requirements, mapping data to new system standards, and managing the conversion of large datasets from legacy systems.
Reconcile loaded data in source system against positions, tax lots, and performance.
Integrate historical financial data by converting potentially complex and unstructured data files and statements into structured formats suitable for backfilling.
Provide support for automated data feeds, troubleshooting issues and ensuring the seamless transformation of daily financial transactions and positions into source system imports. This requires a strong understanding of the automated data processing system.
Respond to ad-hoc data requests from client-facing teams, providing timely and accurate information.
Qualifications
5+ years in the financial industry, demonstrating a proven track record of financial product support, technical proficiency, and solid accounting knowledge
Subject matter expert in Orion and Black Diamond
Familiarity with other portfolio management systems, such as Addepar, Advyzon, APX, Axys, Ridgeline, Tamarac
Strong background working with financial custodial data and proficiency supporting alternative financial instruments
Advanced proficiency in Excel and text file manipulation. Familiarity with other data formats, such as JSON, XML, and unstructured-to-structured transformation is a plus
Experience with at least one of the following: Python, SQL, Power Automate or other large data set software, demonstrating the ability to extract and transform data
Demonstrated history of automating data-related processes such as data integration, including log file creation and maintenance
Understanding of Salesforce, Monday.com , Jira, and GitLab
Comfort working with a geographically dispersed team
Strong interpersonal verbal and written communication skills and comfortable communicating with clients as needed
Achievement of, or working towards, an MS/MBA or CFA
Staff Data Scientist
Data science internship job in Saltaire, NY
Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed.
The Impact You'll Make
As a member of Recursion's AI-driven drug discovery initiatives, you will be at the forefront of reimagining how biological knowledge is generated, stored, accessed, and reasoned upon by LLMs. You will play a key role in developing the biological reasoning infrastructure, connecting large-scale data and codebases with dynamic, agent-driven AI systems.You will be responsible for defining the architecture that grounds our agents in biological truth. This involves integrating biomedical resources to enable AI systems to reason effectively and selecting the most appropriate data retrieval strategies to support those insights. This is a highly collaborative role: you will partner with machine learning engineers, biologists, chemists, and platform teams to build the connective tissue that allows our AI agents to reason like a scientist. The ideal candidate possesses deep expertise in both core bioinformatics/cheminformatics libraries and modern GenAI frameworks (including RAG and MCP), a strong architectural vision, and the ability to translate high-potential prototypes into scalable production workflows.
In this role, you will:
Architect and maintain robust infrastructure to keep critical internal and external biological resources (e.g., ChEMBL, Ensembl, Reactome, proprietary assays) up-to-date and accessible to reasoning agents.
Design sophisticated context retrieval strategies, choosing the most effective approach for each biological use case, whether working with structured, entity-focused data, unstructured RAG, or graph-based representations.
Integrate established bioinformatics/cheminformatics libraries into a GenAI ecosystem, creating interfaces (such as via MCP) that allow agents to autonomously query and manipulate biological data.
Pilot methods for tool use by LLMs, enabling the system to perform complex tasks like pathway analysis on the fly rather than relying solely on memorized weights.
Develop scalable, production-grade systems that serve as the backbone for Recursion's automated scientific reasoning capabilities.
Collaborate cross-functionally with Recursion's core biology, chemistry, data science and engineering teams to ensure our biological data and the reasoning engines are accurately reflecting the complexity of disease biology and drug discovery.
Present technical trade-offs (e.g., graph vs. vector) to leadership and stakeholders in a clear, compelling way that aligns technical reality with product vision.
The Team You'll Join
You'll join a bold, agile team of scientists and engineers dedicated to building comprehensive biological maps by integrating Recursion's in-house datasets, patient data, and external knowledge layers to enable sophisticated agent-based reasoning. Within this cross-functional team, you will design and maintain the biological context and data structures that allow agents to reason accurately and efficiently. You'll collaborate closely with wet-lab biologists and core platform engineers to develop systems that are not only technically robust but also scientifically rigorous. The ideal candidate is curious about emerging AI technologies, passionate about making biological data both machine-readable and machine-understandable, and brings a strong foundation in systems biology, biomedical data analysis, and agentic AI systems.
The Experience You'll Need
PhD in a relevant field (Bioinformatics, Cheminformatics, Computational Biology, Computer Science, Systems Biology) with 5+ years of industry experience, or MS in a relevant field with 7+ years of experience, focusing on biological data representation and retrieval.
Proficiency in utilizing major public biological databases (NCBI, Ensembl, STRING, GO) and using standard bioinformatics/cheminformatics toolkits (e.g., RDKit, samtools, Biopython).
Strong skills in designing and maintaining automated data pipelines that support continuous ingestion, transformation, and refresh of biological data without manual intervention.
Ability to work with knowledge graph data models and query languages (e.g., RDF, SPARQL, OWL) and translate graph-structured data into relational or other non-graph representations, with a strong judgment in evaluating trade-offs between different approaches.
Competence in building and operating GenAI stacks, including RAG systems, vector databases, and optimization of context windows for large-scale LLM deployments.
Hands-on expertise with agentic AI frameworks (e.g., MCP, Google ADK, LangChain, AutoGPT) and familiarity with leading LLMs (e.g., Google Gemini/Gemma) in agentic workflows, including benchmarking and evaluating agent performance on bioinformatics/cheminformatics tasks such as structure prediction, target identification, and pathway mapping.
Strong Python skills and adherence to software engineering best practices, including CI/CD, Git-based version control, and modular design.
Excellent cross-functional communication skills, ability to clearly explain complex architectural decisions to both scientific domain experts and technical stakeholders.
Nice to Have
Strong background in machine learning and deep learning, including hands-on experience with foundation models and modern neural architectures.
Fine-tuning LLMs on scientific corpora for domain-specific reasoning.
Integrating LLMs with experimental or proprietary assay data in live scientific workflows.
Background in drug discovery and target identification.
Meaningful contributions to open-source libraries, research codebases, or community-driven tools.
Working Location & Compensation:
This is an office-based, hybrid role in either our Salt Lake City, UT or New York City, NY offices. Employees are expected to work in the office at least 50% of the time.
At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $200,600 - $238,400. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
#LI-DNI
The Values We Hope You Share:
We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.
We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day.
We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together.
We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.
Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.
More About Recursion
Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.
Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at ****************** or connect on X (formerly Twitter) and LinkedIn.
Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.
Accommodations are available on request for candidates taking part in all aspects of the selection process.
Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Auto-ApplyData Solutions - Summer 2026 Intern
Data science internship job in Stamford, CT
Join the fintech powerhouse redefining how the world invests in private markets. iCapital is a global leader in alternative investments, trusted by financial advisors, wealth managers, asset managers, and industry innovators worldwide. With $999.73 billion in assets serviced globally-including $272.1 billion in alternative platform assets-we empower over 3,000 wealth management firms and 118,000 financial professionals to deliver cutting-edge alternative investment solutions.
This summer, become part of a dynamic team where your ideas matter. Make a meaningful impact, accelerate your professional growth, and help push the boundaries of what's possible at the intersection of technology and finance.
Key features of our Summer 2026 Internship:
Become a key member of the iCapital team, driving initiatives, contributing to projects, and potentially jumpstart your career with us after graduation.
Immerse yourself in an inclusive company culture where we create a sense of belonging for everyone.
Gain exclusive access to the AltsEdge Certificate Program, our award-winning alternative investments education curriculum for wealth managers.
Attend recurring iLearn seminars and platform demos where you will learn the latest about our products.
Participate in an intern team project, culminating in an end-of-summer presentation to a panel of senior executives.
Join senior executive speaker seminars that provide career development, guidance, and access to the leaders at iCapital.
About the role:
The Data Solutions department provides a reporting service that leverages top-tier third-party reporting tools to assist UHNW clients in identifying opportunities and risks within their portfolios. Through collaborations with leading technology platforms, we curate reports that offer insightful, consolidated, real-time views of all assets and liabilities, detailing what they are, who holds them, how ownership is divided, how they're invested, and how they're performing. These reports are strategically designed to uncover opportunities and highlight financial risks.
Learn and leverage financial reporting and data aggregation tools:
Conduct account level reconciliation.
Provide accurate and timely statements and data entry.
Work with internal teams to resolve data issues.
Generate Ad Hoc reports as needed.
Work with the team to prioritize individual and communal work to ensure all projects are completed on time and to detailed specifications.
Valued qualities and key skills:
Highly inquisitive, collaborative, and a creative problem solver
Possess foundational knowledge of and/or genuine interest in the financial markets
Able to thrive in a fast-paced environment
Able to adapt to new responsibilities and manage competing priorities
Technologically proficient in Microsoft Office (Excel, PowerPoint)
Strong verbal and written communication skills
What we offer:
Outings with iCapital team members and fellow interns to build connections and grow your network.
Corporate culture and volunteer activities in support of the communities where we live and work.
Rooftop Happy Hours showcasing our impressive views of NYC.
Eligibility:
A rising junior or senior in a U.S. college/university bachelor's degree program
Must be available to work the duration of the program from June 8th through August 7th to be eligible
Committed to working five days a week in the Stamford office for the entire duration of the internship
Authorized to work in the United States*
*We are unable to offer any type of employment-based immigration sponsorship for this program
Pay Rate: $31.00/hour + relocation stipend and transportation stipend
iCapital in the Press:
We are innovating at the intersection of technology and investment opportunity, but don't take our word for it. Here's what others are saying about us:
Two consecutive years on the CNBC World's Top Fintech Companies list
Two consecutive years listed in Top 100 Fastest Growing Financial Services Companies
Four-time winner of the Money Management Institute/Barron's Solutions Provider of the Year
For additional information on iCapital, please visit **************************************** Twitter: @icapitalnetwork | LinkedIn: ***************************************************** | Awards Disclaimer: ****************************************/recognition/
Auto-ApplyData & Insights Analyst
Data science internship job in Stamford, CT
About Us Over the past 25 years, Waste Harmonics Keter has been at the forefront of the waste and recycling industry, delivering innovative, data-driven solutions. We help companies right-size their waste operations and get out of the waste business with industry-leading expertise, state-of-the-art waste technologies, and industry-leading customer service.
Visit Waste Harmonics Keter for more information.
We are excited to grow our Data & Insights Team and meet talented professionals who want to make an impact. At this time, we are unable to offer visa sponsorship for the Data & Insights Analyst role. Candidates must have authorization to work in the United States now and in the future without the need for sponsorship.
If this aligns with your current eligibility, we warmly encourage you to apply, we would love to learn more about you and the value you can bring to Waste Harmonics Keter.
Role Purpose
The Insight Analyst supports business decision-making by analyzing data, identifying trends, and creating clear, actionable insights. The role partners with stakeholders across the business, ensuring analysis directly supports operational and commercial priorities while continuously developing technical and business expertise
Key Responsibilities
Strategy & Value Creation
Translate business questions into data-driven insights that guide operational and commercial decisions.
Identify trends and anomalies in data to uncover improvement opportunities and recommend actions.
Stakeholder & Influence
Partner with stakeholders to clarify needs, define analytical questions, and tailor outputs.
Communicate findings clearly and persuasively to enable confident decision-making.
Operations & Delivery
Conduct ad-hoc analysis with fast turnaround to support urgent business requirements.
Support and enhance Power BI dashboards, ensuring accuracy and alignment with business needs.
Apply data validation and root-cause analysis to ensure reliability of insights.
People & Growth
Build trusted relationships with business leaders, proactively surfacing insights.
Continuously develop technical (Power BI, SQL, Excel, data visualization) and business knowledge to deepen analysis quality
Core Competencies & Behaviors
Customer Focus: Builds strong customer relationships and delivers customer-centric solutions.
Decision Quality: Makes good, timely decisions that drive business progress.
Optimizes Work Processes: Streamlines workflows and drives continuous improvement.
Collaborates: Works effectively with others to achieve shared goals.
Action-Oriented: Tackles challenges with urgency, energy, and enthusiasm.
Self-Development & Nimble Learning: Seeks out growth opportunities, learns quickly from successes and setbacks.
Data Rational: Uses numbers, facts, and statistical analysis as the foundation for decision-making.
Detail Conscious & Evaluative: Ensures accuracy, checks for errors, and evaluates information critically.
Innovative: Generates creative ideas and original solutions.
Experience & Knowledge
Delivered insights and analysis for business functions (e.g., operations, customer, or finance).
Experience creating or enhancing dashboards using Power BI (or equivalent tools).
Skilled in analyzing performance metrics, trends, and forecasts using SQL, Excel, or BI tools.
Experience presenting findings to non-technical audiences in a clear, actionable way.
Contributed to small data projects or supported cross-functional analytics initiatives
.Qualifications
Bachelor's degree in Business, Economics, Statistics, Data Analytics, or a related field (or equivalent experience).
Proficiency in Excel, SQL, and BI tools (Power BI preferred).
Strong analytical mindset with attention to detail.
Excellent communication and stakeholder management skills.
Waste Harmonics Keter Comprehensive Benefits Package
Competitive Compensation
Annual Bonus Plan at Every Level
Continuous Learning and Development Opportunities
401(k) Retirement Savings with Company Match; Immediate Vesting
Medical & Dental Insurance
Vision Insurance (Company Paid)
Life Insurance (Company Paid)
Short-term & Long-term Disability (Company paid)
Employee Assistance Program
Flexible Spending Accounts/Health Savings Accounts
Paid Time Off (PTO), Including birthday off, community volunteer hours and a Friday off in the summer
7 Paid Holidays
At Waste Harmonics Keter, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome candidates from all backgrounds to apply.
Auto-ApplyInvestments Data Management Analyst
Data science internship job in Stamford, CT
At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day.
We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.
Our four values guide our strategy, our decisions, and our interactions:
Make it human. We care about the people that make up our customers, colleagues, and communities.
Make it about others. We do what's best for our customers and collaborate to drive progress.
Make it happen. We work with intention toward a common purpose and forge ways forward together.
Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.
POSITION TITLE
Investments Data Management Analyst
POSITION LOCATION
Stamford, CT
YOUR ROLE
You will be an integral part of the Data Management Team delivering high quality data and various deliverables to our key business areas including (but not limited to) traders, portfolio management, credit research and risk. It will be imperative for you to deliver accurately and timely data to our customers who use that information to make investment decisions based on the data. You will work cross-functionally to improve data needs and deliverables, increase efficiencies/controls, and build positive relationships with our customers.
What you will be doing
Collaborate with front office to set-up securities in source system accurately and timely
Execute various reconciliations of our source data to ensure accuracy
Prepare cash flow modeling, projections and analysis for downstream consumption
You will learn our various security valuation processes and controls
Continually Identify process deficiencies, implement controls and maintain documentation
Participate in the continual development of a Data Governance framework
What you bring
Bachelor's degree or equivalent experience
3-5-years experience, working with Investments data
Pricing experience preferred
Excellent communication and organizational skills
Close attention to detail and process requirements
Ability to perform in a rapidly changing, fast-paced environment
Strong Excel Skills
Employee Benefits & Well-Being
Genworth employees make a difference in people's lives every day. We're committed to making a difference in our employees' lives.
Competitive Compensation & Total Rewards Incentives
Comprehensive Healthcare Coverage
Multiple 401(k) Savings Plan Options
Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
Generous Paid Time Off - Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
Disability, Life, and Long Term Care Insurance
Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
Caregiver and Mental Health Support Services
ADDITIONAL
At this time, Genworth will not sponsor a new applicant for employment authorization for this position.
No agencies please.
Strong internal candidate identified. Other candidates are encouraged to apply.
ADDITIONAL
At this time, Genworth will not sponsor a new applicant for employment authorization for this position
For the State of New York: The base salary pay range for this role starts at a minimum rate of $86,100 up to the maximum of $146,400. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 7% of your base compensation. The final determination on base pay for this position will be based on multiple factors at the time of this job posting including but not limited to geographic location, experience, and qualifications to ensure pay equity within the organization.
Auto-ApplyData Scientist - Analytics roles draw analytical talent hunting for roles.
Data science internship job in Commack, NY
About the Role We believe that the best decisions are backed by data. We are seeking a curious and analytical Data Scientist to champion our data -driven culture.
In this role, you will act as a bridge between technical data and business strategy. You will mine massive datasets, build predictive models, and-most importantly-tell the story behind the numbers to help our leadership team make smarter choices. You are perfect for this role if you are as comfortable with SQL queries as you are with slide decks.
### What You Will Do
Exploratory Analysis: Dive deep into raw data to discover trends, patterns, and anomalies that others miss.
Predictive Modeling: Build and test statistical models (Regression, Time -series, Clustering) to forecast business outcomes and customer behavior.
Data Visualization: Create clear, impactful dashboards using Tableau, PowerBI, or Python libraries (Matplotlib/Seaborn) to visualize success metrics.
Experimentation: Design and analyze A/B tests to optimize product features and marketing campaigns.
Data Cleaning: Work with Data Engineers to clean and structure messy data for analysis.
Strategy: Present findings to stakeholders, translating complex math into clear, actionable business recommendations.
Requirements
Experience: 2+ years of experience in Data Science or Advanced Analytics.
The Toolkit: Expert proficiency in Python or R for statistical analysis.
Data Querying: Advanced SQL skills are non -negotiable (Joins, Window Functions, CTEs).
Math Mindset: Strong grasp of statistics (Hypothesis testing, distributions, probability).
Visualization: Ability to communicate data visually using Tableau, PowerBI, or Looker.
Communication: Excellent verbal and written skills; you can explain a p -value to a non -technical manager.
### Preferred Tech Stack (Keywords)
Languages: Python (Pandas, NumPy), R, SQL
Viz Tools: Tableau, PowerBI, Looker, Plotly
Machine Learning: Scikit -learn, XGBoost (applied to business problems)
Big Data: Spark, Hadoop, Snowflake
Benefits
Salary Range: $50,000 - $180,000 USD / year (Commensurate with location and experience)
Remote Friendly: Work from where you are most productive.
Learning Budget: Stipend for data courses (Coursera, DataCamp) and books.
Data Analyst
Data science internship job in Milford, CT
About Company : A Global IT consulting firm with several large customer engagements across US. It provides strategic business consulting, technology,engineering and outsourcing services to help clients leverage technology and create impactful and measurable business value for every IT investment.
About Us :
Avance Consulting Services is a global talent acquisition and executive search company. We work exclusively with some of the most reputed and admired clients across various sectors and geographies. This is a very urgent role. Apply NOW with your updated resume in word format. All selected profiles will be contacted within 1 day of application receipt.
Hi,
Greetings from Avance,
Hope you are doing good!!!
We have an urgent requirement related to your profile with one of our client for Data Analyst at Milford, CT. If you are interested and available for the following position then please send your updated resume immediately.
Job Title: Data Analyst
Location: Milford, CT
Duration: Fulltime/Permanent
Job description:
.Excellent customer facing skills
·Good understanding of the QSR domain
·Specialization in Managing and supporting Restaurant Menus
·Good understanding of Inventory, Prices, Promotions, Coupons, Loyalty programs, Rates and Tax Structures
·Good Knowledge of the Point-of-Sales systems
·Experience in data collection and evaluation methodologies, including format design, project criteria and requirements, data compilation, relevancy and usage
·Assist in setting up test environment and implementation of data collection with defined quality standards
·Highly experienced in handling large database through manual and data management tools
·Experience in handling and working on multi-lingual database and supporting them
·Experience in handling data transformations, manual data-entry and data management techniques
·Experience in establishing data quality standards and working with various stakeholder
·Performs and documents procedures for data preparation including data cleaning, standardization and analysis
·Well experienced In working with distributed teams in global environment
·Providing end to end leadership in delivering challenging requirements and meeting stringent deadlines
·Experience working in agile environment
·Excellent communication skills and a good team player
Nice to have skills:
·Global Multilingual skills
Additional Information
All your information will be kept confidential according to EEO guidelines.
Social Media Data Analyst
Data science internship job in Stamford, CT
Insight Global is looking for a Senior Social Analyst who is a data-driven strategist and platform power user who owns the reporting, insights, and optimization of social media activity across channels. This role manages end-to-end reporting across all social platforms, leveraging Hootsuite's analytics, listening, and dashboard capabilities to monitor trends, measure campaign effectiveness, and identify opportunities for optimization. They work cross-functionally with portfolio and insights, marketing research, social, creative, influencer, paid media, and comms teams to provide data-backed recommendations that enhance engagement, strengthen brand reputation, and support business objectives. With a strong understanding of platform metrics, social behavior, and competitive benchmarking, the analyst turns complex data into clear narratives that inform decision-making and elevate social strategy. This is 6-month ongoing contract and pays $48-51hr.
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 in social analytics with deep experience across Instagram, TikTok, YouTube, Meta and Reddit platforms.
- Proficient with analytics tools (Hootsuite, Sprout, Brandwatch/Talkwalker) and data visualization platforms (Tableau, Power BI).
- Strong experience with pulling data, reporting, and creating dashboards.
- Strong ability to translate data into clear insights and strategic recommendations for content, creative, and campaign optimization
- Experienced in building weekly/monthly reports, post-campaign recaps, competitive benchmarking, and creator/influencer performance summaries.
Highly organized communicator able to present insights to leadership and operate effectively in fast-paced, cross-functional environments. BI & visualization: Power BI or Tableau, plus Excel/Google Sheets.
P&C Commercial Insurance Data Analytics Intern - Genesis
Data science internship job in Stamford, CT
Shape Your Future With Us Genesis Management and Insurance Services Corporation (Genesis) is a premier alternative risk transfer provider, offering innovative solutions for the unique needs of public entity and education clients. Genesis takes pride in being a long-term thought partner and provider of insurance and reinsurance to public sector, K-12 and higher education self-insured individual risks, pools and trusts for over 30 years.
Genesis is a wholly-owned subsidiary of General Re Corporation, a subsidiary of Berkshire Hathaway Inc. General Re Corporation is a holding company for global reinsurance and related operations with more than 2,000 employees worldwide. Our first-class financial security receives the highest financial strength ratings.
Genesis currently offers an excellent opportunity for a P&C Commercial Insurance Data Analytics Intern based in our Stamford office. This opportunity is for available for Summer 2026 (July-August). This is a hybrid role.
Role Description
Join Genesis' Actuarial Pricing Unit for an immersive 8-week internship during Summer 2026. This program is designed to provide hands-on experience in actuarial pricing, data analytics, and research. Interns will work on real-world projects that combine technical skills with critical thinking to support pricing strategies and risk assessment.
You will:
* Gain exposure to actuarial concepts, insurance industry practices, and pricing methodologies.
* Work with advanced tools and technologies, including R, SQL, Excel, and cloud-based data platforms.
* Collect, clean, and structure data for analysis and modeling.
* Perform exploratory analysis to identify trends and support decision-making.
* Conduct research to evaluate industry developments and their impact on pricing.
* Document processes and communicate findings clearly to technical and non-technical audiences.
This internship is ideal for students who are analytical, detail-oriented, and eager to apply data-driven approaches to solve complex business challenges. You'll develop practical skills in data engineering, quantitative analysis, and research while collaborating with experienced professionals in a dynamic environment.
Role Qualifications and Experience
Required Skill Set
* Technical Skills -
* Experience with R and advanced skills in Excel.
* Familiar with SQL and cloud-based data warehouses(e.g., Google BigQuery).
* Special consideration for Postgres or spatial analytics.
* Alternative data analysis and modeling tool like Python may be acceptable.
* Data Collection & Engineering - Familiarity with gathering raw data, cleaning it, standardizing formats, and building structured datasets.
* Research Skills - Ability to search, evaluate, and synthesize information from diverse online sources.
* Organization & Documentation - Strong ability to organize information, track data sources, and document the research process.
* Analytical & Quantitative Skills - Comfort with exploratory analysis, identifying trends, and supporting basic modeling work.
* Critical Thinking - Ability to connect data insights with social, legal, and environmental developments.
* Communication Skills - Capability to clearly explain findings to audiences with limited technical or subject-matter background.
Salary Range
$22.00 - $25.00 per hour
The annual base salary range posted represents a broad range of salaries around the US and is subject to many factors including but not limited to credentials, education, experience, geographic location, job responsibilities, performance, skills and/or training.
Our Corporate Headquarters Address
General Reinsurance Corporation
400 Atlantic Street, 9th Floor
Stamford, CT 06901 (US)
At General Re Corporation, we celebrate diversity and are committed to creating an inclusive environment for all employees. It is the General Re Corporation's continuing policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, sex (including childbirth or related medical conditions), religion, national origin or ancestry, age, past or present disability , marital status, liability for service in the armed forces, veterans' status, citizenship, sexual orientation, gender identity, or any other characteristic protected by applicable law. In addition, Gen Re provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act.
Data Scientist
Data science internship job in Port Washington, NY
Who is Drive Medical..
Drive Medical has become a leading manufacturer of medical products with a strong and consistent track record of growth achieved both organically and through acquisitions. We are proud of our high-quality, diverse product portfolio, channel footprint and global operating scale. Our products are sold into the homecare, long-term care, retail, and e-commerce channels in more than 100 countries around the world.
“Leading the World with Innovative Healthcare Solutions that Enhance Lives”
Summary (Major Purpose of the Role):
Position Summary
The Sales Data Scientist will use data analytics and statistical techniques to generate insights that support sales performance and revenue growth. This role focuses on building and improving reporting tools, analyzing data, and providing actionable recommendations to help the sales organization make informed decisions.
Key Responsibilities
Data Analysis & Reporting
Analyze sales data to identify trends, patterns, and opportunities.
Create and maintain dashboards and reports for Sales and leadership teams.
Support root-cause analysis and process improvement initiatives.
Sales Insights
Provide data-driven recommendations for pricing, discount strategies, and sales funnel optimization.
Assist in segmentation analysis to identify key customer groups and markets.
Collaboration
Work closely with Sales, Marketing, Finance, and Product teams to align analytics with business needs.
Present findings in clear, actionable formats to stakeholders.
Data Infrastructure
Ensure data accuracy and integrity across reporting tools.
Help automate reporting processes for efficiency and scalability.
Required Qualifications:
2-4 years of experience in a data analytics or sales operations role.
Strong Excel skills (pivot tables, formulas, data analysis).
Bachelor's degree in Mathematics, Statistics, Economics, Data Science, or related field-or equivalent experience.
Preferred Qualifications:
Familiarity with Python, R, SQL, and data visualization tools (e.g., Power BI).
Experience leveraging AI/ML tools and platforms (e.g., predictive analytics, natural language processing, automated insights).
Experience with CRM systems (Salesforce) and marketing automation platforms.
Strong analytical and problem-solving skills with attention to detail.
Ability to communicate insights clearly to non-technical audiences.
Collaborative mindset and willingness to learn new tools and techniques.
Why Apply…
Competitive Benefits, Paid Time Off, 401(k) Savings Plan
This position does not offer sponsorship opportunities.
Pursuant to New York law, Drive Medical provides a salary range in job advertisements. The salary range for this role is $95,000.00 to $125,000.00 per year. Actual salaries may vary depending on factors such as the applicant's experience, specialization, education, as well as the company's requirements. The provided salary range does not include bonuses, incentives, differential pay, or other forms of compensation or benefits which may be offered to the applicant, if eligible according to the company's policies.
Drive Medical is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment. Drive Medical strictly prohibits and does not tolerate discrimination against employees, applicants, or any other covered person because of race, color, religion, gender, sexual orientation, gender identity, pregnancy and/or parental status, national origin, age, disability status, protected veteran status, genetic information (including family medical history), or any other characteristic protected by federal, state, or local law. Drive Medical complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Auto-ApplyData Analyst Specialist
Data science internship job in Wilton, CT
EmTacq specializes in
EM
ployer
T
alent
ACQ
uisitions, matching the most qualified candidates with the most competitive positions available. We pride ourselves on not just putting bodies in seats, rather matching professionals to their careers. We are headquartered in the Raleigh / Durham, NC area. However, as a recruiting agency we service companies and candidates across the United States. We are your best source for professional, value driven low cost recruitment services.
Job Description
The primary purpose of the job is to execute and enforce established data governance processes that relate to tracking additions and changes to the objects under governance. This scope is currently limited to attributes, i.e. data items, stored in our data warehouse. Users frequently request that attributes be added, and these attributes must be properly named and their lineage tracked from source systems through different stages in the data warehouse.
Data governance needs to communicate frequently with users and developers, be knowledgeable about many aspects of our data warehouse and contributing systems, and be able to recognize governance issues, which are cases where standards should be applied. No knowledge of any specific system is required, but experience with many systems, especially systems joined together by ETL and database connections, will help enormously.
Maintaining Existing Processes:
Updating, maintaining existing processes and procedures
Setting Up Controls, Processes:
Working with different stakeholders (business, O&S, compliance etc.) to gather requirements, identify and create new processes and data governance controls
Working in a SME capacity to educate and advise the stakeholders about best practices
Implement data policies and standards to ensure that data is both acceptable and accurate
Qualifications
Experience working at a financial services company or comparable experience working as an advisor to a financial services company
Experience designing and implementing data quality and data governance solutions including platforms and supporting data processes
Knowledge of technical architecture design and a good understanding of technology tools and components (middleware, database, reporting tools, etc.) in financial systems architecture
Experience in all phases of the technology life cycle, including requirements definition, data architecture design, conversion and testing
Strong organizational, analytical, communication and technical writing skills
Ability and comfort level researching emerging issues, including regulations, industry practices, and new technologies
Basic understanding of finance, fixed income securities and derivatives
Strong written and oral communication skills
Excellent problem-solving and quantitative skills
Demonstrated ability to work as part of a team
Solid work ethic, self-driven with the ability to work with minimal supervision
Additional Information
Must be a US citizen or Green Card holder
All your information will be kept confidential according to EEO guidelines.
Principal Data Scientist
Data science internship job in Bridgeport, CT
Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.
You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.
This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)
This position requires occasional travel to the DC area for client meetings.
Essential Duties and Responsibilities:
- Make deep dives into the data, pulling out objective insights for business leaders.
- Initiate, craft, and lead advanced analyses of operational data.
- Provide a strong voice for the importance of data-driven decision making.
- Provide expertise to others in data wrangling and analysis.
- Convert complex data into visually appealing presentations.
- Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners.
- Understand the importance of automation and look to implement and initiate automated solutions where appropriate.
- Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects.
- Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects.
- Guide operational partners on product performance and solution improvement/maturity options.
- Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization.
- Learn new skills in advanced analytics/AI/ML tools, techniques, and languages.
- Mentor more junior data analysts/data scientists as needed.
- Apply strategic approach to lead projects from start to finish;
Job-Specific Minimum Requirements:
- Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.
- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.
- Contribute to the development of mathematically rigorous process improvement procedures.
- Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments.
Minimum Requirements
- Bachelor's degree in related field required.
- 10-12 years of relevant professional experience required.
Job-Specific Minimum Requirements:
- 10+ years of relevant Software Development + AI / ML / DS experience.
- Professional Programming experience (e.g. Python, R, etc.).
- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.
- Experience with API programming.
- Experience with Linux.
- Experience with Statistics.
- Experience with Classical Machine Learning.
- Experience working as a contributor on a team.
Preferred Skills and Qualifications:
- Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.).
- Experience developing machine learning or signal processing algorithms:
- Ability to leverage mathematical principles to model new and novel behaviors.
- Ability to leverage statistics to identify true signals from noise or clutter.
- Experience working as an individual contributor in AI.
- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.
- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles.
- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.
- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.
Background Investigations:
- IRS MBI - Eligibility
#techjobs #VeteransPage
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************.
Minimum Salary
$
156,740.00
Maximum Salary
$
234,960.00
Easy ApplyData Coordinator
Data science internship job in Trumbull, CT
Data Coordinator needs 2+ years experience
Data Coordinator requires:
5 days on site in Trumbull location (hybrid setup with remote days possible)
Computer literate in Microsoft office products (Word, Excel, PowerPoint, SharePoint etc.)
Experience with data analytics is a plus
Ability to understand and follow independently process instructions
Detail-oriented
Analytical thinking
Bachelors degree in technical field (Natural Sciences Chemistry/Biology or Data Analytics)
Data Coordinator duties:
Responsible for quality and completeness of the data
Handles issue resolutions in case of need
Bachelor, BA/BS, Required
R&D Data Analyst
Data science internship job in Harrison, NY
Computech Corporation provides IT and consulting services to various customers across the globe. We are a Minority Certified Company with over 15 years of industry experience. Our global delivery model and proven track record enable companies to realize improved business efficiency and increased profitability.
Job Description
General Description:
Part of the PepsiCo Quality Program (PQP), global business teams are classifying specifications/ingredients to enable food safety hazard assessment with a focus on FSMA (Food Safety Modernization Act) compliance.
The identified resource will support sectors/business units with the mapping exercise as appropriate and coordinate incoming change requests for changes and re-assessments.
Keen insights regarding raw materials in the manufacture of food and beverage will enable analysis of scientific research and identification of hazards associated with food materials.
Fulfill Data Steward responsibilities in responding to change management of the material classification tool.
Act as a point person/clearing house contact as questions arise and address SME teams when needed.
Collaborate with business sectors globally to train, update, and communicate application of the classification tool and changes to the tool.
Support enhancement of the hazard analysis with internal and external tools and data systems.
Support automation project by liaising with database developers.
Conduct user acceptance testing.
Support accurate and timely mapping of ingredients to the new material classification.
Maintain master files and adhere to document control procedures.
Support related Food Safety technical services as needed.
Qualifications
Skills/Qualifications:
Certification in or working knowledge of Food Safety and Quality systems
Crisis management / recall management experience
Additional Information
Requirements:
Knowledge of food materials and associated biological and chemical hazards and a general understanding of physical, chemical, and biological hazards associated with different categories of food and beverage ingredients.
Experience in food safety, microbiology, and/or toxicology is preferred.
Exposure to product development, manufacturing, and/or supply quality is also desirable (5+ years).
Practical knowledge of food ingredients (how they are grown, cultivated, harvested, processed, distributed) and risk assessment thereof (5+ years)
Excellent proficiency with Microsoft Excel; high frequency user experience with database/ product lifecycle management tools (e.g., Product Vision, SAP) (5+ years)
Basic understanding of the Food Safety Modernization Act, domestic and international regulatory requirements
Influential written and verbal communication skills; excellent organizational skills
Director, ERM - Actuary or Data Scientist
Data science internship job in Greenwich, CT
Company Details
"Our Company provides a state of predictability which allows brokers and agents to act with confidence."
Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.
Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.
Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.
The Company is an equal employment opportunity employer.
Responsibilities
*Please provide a one-page resume when applying.
Enterprise Risk Management (ERM) Team
Our key risk management aim is to maximize Berkley's return on capital over the long term for an acceptable level of risk. This requires regular interaction with senior management both in corporate and our business units. The ERM team comprises ERM actuaries and catastrophe modelers responsible for identification, quantification and reporting on insurance, investment, credit and operational risks. The ERM team is a corporate function at Berkley's headquarters in Greenwich, CT.
The Role
The successful candidate will collaborate with other ERM team members on a variety of projects with a focus on exposure management and catastrophe modeling for casualty (re)insurance. The candidate is expected to demonstrate expertise in data and analytics and be capable of presenting data-driven insights to senior executives.
Key responsibilities include:
Casualty Accumulation and Catastrophe Modeling
• Lead the continuous enhancement of the casualty data ETL process
• Analyze and visualize casualty accumulations by insureds, lines and industries to generate actionable insight for business leaders
• Collaborate with data engineers to resolve complex data challenges and implement scalable solutions
• Support the development of casualty catastrophe scenarios by researching historical events and emerging risks
• Model complex casualty reinsurance protections
Risk Process Automation and Group Reporting
• Lead AI-driven initiatives aimed at automating key risk processes and projects
• Contribute to Group-level ERM reports, including deliverables to senior executives, rating agencies and regulators
Qualifications
• Minimum of 5 years of experience in P&C (re)insurance, with a focus on casualty
• Proficiency in R/Python and Excel
• Strong verbal and written communication skills
• Proven ability to manage multiple projects and meet deadlines in a dynamic environment
Education Requirement
• Minimum of Bachelor's degree required (preferably in STEM)
• ACAS/FCAS is a plus
Sponsorship Details Sponsorship Offered for this Role
Auto-ApplyJr. Energy Optimization Data Analyst
Data science internship job in Stamford, CT
About Altus Power Altus Power is a leading U.S. clean power company, driving the commercial-scale solar economy through a fully integrated platform that invests in, constructs, develops, finances, owns and operates renewable energy infrastructure. With over 1GW of operating assets across 26 states, we're delivering innovative, high-impact energy solutions to Fortune 1000 companies, financial institutions, households, municipalities and more.
A portfolio company of TPG Rise Climate and backed by financial partners like Blackstone and Goldman Sachs, we're built for scale, accelerating the shift to reliable, local clean power for communities and businesses nationwide.
Headquartered in Stamford, Conn. - just a short train ride from New York City - we offer a fast-paced, collaborative environment where passionate, mission-driven professionals come together to power a cleaner future. We lead with vision. We act with purpose. And we're looking for smart, driven people ready to help power what comes next.
About the Position
The Junior Energy Optimization Data Analyst supports the team by applying strong quantitative analysis skills to interpret data and generate insights that inform business decisions. In this role, you will assist with contract management by helping organize, track and review contractor documentation. As such, the Analyst performs a variety of organizational tasks, such as managing documents, maintaining organized records, and supporting the team with day-to-day operational needs. Collaboration with cross-functional teams-including engineering, construction, and accounting-is an essential part of the role, ensuring that data-driven insights and administrative support contribute to the success of projects across the organization.
The ideal candidate is detail-oriented, technically curious, and eager to develop a deep understanding of renewable energy systems, data analytics tools, and solar project operations. Additionally, the analyst will demonstrate a keen interest in learning how to run meetings and lead engagements, gradually taking on more responsibility in collaborative settings.
Responsibilities:
1. Data Collection and Quality Control
* Ensure the accuracy and completeness of datasets used for reporting and analysis.
* Identify missing, corrupted, or inconsistent data and coordinate with the field operations team to resolve issues.
2. Contract Management Support
* Maintain accurate records of service contracts and warranties.
* Assist in tracking contract compliance, deadlines, and renewal schedules.
2. Field Data Analysis and Reporting
* Identify trends, anomalies, and opportunities for improvement.
* Build and maintain dashboards using Excel, Power BI, Tableau, or similar tools.
* Assist in the visualization of trends or O&M metrics and provide ad-hoc analytical support.
3. Operational Support & Resource Planning
* Support planning and allocation of field personnel and equipment based on maintenance and operational needs.
* Analyze historical data to optimize resource utilization.
4. Continuous Improvement and Learning
* Support the automation of data collection, cleaning, and reporting processes using scripts or APIs.
Requirements:
* Bachelor's degree in Data Science, Physics, Statistics, Engineering, Environmental Science, or a related field.
* 0-2 years of experience in data analytics, preferably in the energy, utilities, or sustainability sector (internships and academic projects count).
* Proficiency in Excel, Power BI, or Tableau for data visualization.
* Familiarity with SQL, Python, or R for data analysis and automation is a plus.
* Understanding of solar PV system components (modules, inverters, BOS) and energy metrics a plus.
* Comfortable working with large datasets and time-series data.
* Strong attention to detail and analytical mindset.
* Effective communicator with both technical and non-technical stakeholders.
* Team-oriented, proactive, and eager to learn.
* Ability to manage multiple tasks and meet deadlines.
Work Life at Altus
Our team is the asset we are most proud of. We aim to create a positive work-life balance.
Here are a few of the benefits we offer:
* Competitive compensation
* Health and Dental Insurance (100% of premium paid of Company's standard policy)
* Participation in 401k Plan
* Paid cell phone service on Company's plan
* Company paid lunch in the office
* Company paid membership to building gym
* Two monthly work from home days
Altus is unequivocally committed to the principles of equal employment.
Business Analyst Intern, Summer 2026
Data science internship job in White Plains, NY
**RWE Clean Energy, LLC** **To start as soon as possible, full time, fixed term** **Functional area:** IT / Digital **Remuneration:** Non-Exempt Digital Solutions is responsible for the development and management of RWE Clean Energy's application and custom software development portfolio. The **Business Analyst Intern** will have the opportunity to work on a transformation initiative in partnership with Clean Energy IT and Business stakeholders. The Intern will support business analysis and project implementation activities within the organization. This position could be involved in several aspects of the product development life cycle including gathering user requirements, designing the application, developing and programming the code, end-to-end testing, deployment and documentation. The applicant must have the ability to perform tasks independently and/or with minimum guidance.
**Role Responsibilities:**
+ Assist in gathering and organizing business requirements from stakeholders and end users through interviews, workshops, and documentation review
+ Support analysis of existing business models and operations, identifying areas for improvement under guidance
+ Participate in requirements documentation, drafting user stories, use cases, and basic functional specifications
+ Support communication and follow-ups during project meetings
+ Help prepare and deliver presentations and training materials for proposed changes to staff and business teams
+ Assist in project implementation activities, such as tracking assigned tasks and preparing documentation for third-party resources
+ Participate in QA and testing efforts, including executing test scripts and documenting results for smaller features or enhancements
+ Support problem identification and root cause analysis, recommending solutions under supervision
+ Assist in application management tasks, including user access support, license audits, and maintaining admin guides
+ Learn to coordinate with vendors on minor upgrades or application support needs, shadowing senior team members
**Job Requirements and Experiences:**
+ Working on a degree in Computer Science, Information Systems or related field
+ Ability to learn new technologies as required for the job using documentation and other available sources
+ Ability to handle multiple assignments with changing priorities while meeting deadlines
+ Strong interpersonal skills, with ability to manage customer relationships
+ Demonstrated desire to learn about the Company and the renewables space
+ Excellent proficiency with Microsoft Office suite (Excel, Word, PowerPoint, Outlook, SharePoint, Teams)
+ Some knowledge of business analysis methodologies, tools, and techniques, such as data flow diagrams, entity-relationship diagrams (ERD), cross functional diagrams, user stories, wireframes, Agile, Scrum, etc.
+ Strong leadership and communication, and ability to meet deadlines
+ Strong organization skills and ability to coordinate multiple tasks and deliverables
+ Motivated self-starter, goal-oriented, and strong problem-solving abilities
+ Proven ability to empathize, build relationships, and effectively communicate with people from a diverse set of backgrounds at all levels of the organization
+ Is a team player embracing the spirit of continuous improvement personally and within the team
+ Is detail-oriented, has strong business acumen, and a sound understanding of business concepts
_Applicants must be legally authorized to work in the United States. RWE Clean Energy is unable to sponsor or take over sponsorship of employment visas at this time._
**Pay range:** The base hourly range for this position in New York for undergraduates is $25.00-$35.00 an hour, and for graduates is $30.00--$40.00 The listed salary range represents our good faith estimate for this position and represents the range for new hire salaries across all U.S locations. Please note that the salary information is a general guideline only. RWE considers factors such as (but not limited to) scope and responsibilities of the position, candidate's education & work experience, training & certifications, and key skills as well as market and business considerations at the time of the offer.
**Benefits offered:** Paid time off and Holidays.
Apply with just a few clicks: ad code 91338. Any questions? Contact HR: rwece_******************
We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
RWE Clean Energy is the third largest renewable energy company in the United States, with a presence in most U.S. states from coast to coast. RWE's team of about 2,000 employees in the U.S. stands ready to help meet the nation's growing energy needs. With its homegrown and fastest-to-market product, RWE supports the goal of American Energy dominance and independence. To that end, RWE Clean Energy is committed to increasing its already strong asset base of over 10 gigawatts of operating wind, solar and battery projects, focusing on providing high-quality jobs. RWE invests in local and rural communities while strengthening domestic manufacturing supporting the renaissance of American industry. This is complemented by RWE's energy trading business. RWE is also a major offtaker of American liquified natural gas (LNG).
Easy ApplyData Analytics, Developmental Intern
Data science internship job in White Plains, NY
At the New York Power Authority, you will be empowered to think big, do good, and transform the energy industry. We are a collaborative team of over 2,400 energy technologists, IT specialists, business experts, hydro engineers, and diverse professionals leading the energy revolution. With state-of-the-art technology, advanced research and development, a modernized infrastructure, and a focus on environmental, social and governance (ESG), we provide New Yorkers with low-cost, clean, reliable power - and we are well on the way to becoming the first end-to-end digital utility in the country.
Our team is a centralized data analytics conducting use cases in both AI and BI area. We are looking for a motivated Data Science Intern to join our team for the upcoming Summer. You will be embedded directly into our Analytics team, working on real datasets and contributing to projects that impact our business strategy. This role is designed to bridge the gap between academic theory and industry application. You will receive mentorship from senior data scientists, participate in code reviews, and gain hands-on experience with the modern data stack.
Our paid 10-week Summer Developmental Internship program runs from June 2 - August 7, 2026. As an Intern, you will receive professional development, on-the job experience in the energy industry, exposure to executives, and networking opportunities to help build a solid foundation for your future career.
Applications will close on February 15, 2026.
If you are passionate about our mission - to lead the transition to a carbon-free, economically vibrant New York through customer partnerships, innovative energy solutions, community engagement and the responsible supply of affordable, clean, and reliable electricity, we are looking for you!
#LI-KM1
Responsibilities
* Participate in department-specific projects, analysis, research methods and learn project management skills
* Support team in developing business solutions that contribute to NYPA's VISION2030 strategic goals
* Research industry trends and emerging technologies to contribute to the continuous improvement of our programs
* Other projects as assigned; will vary based on focus area
Knowledge, Skills and Abilities
* Proficiency in Microsoft Office programs, especially Excel, PowerPoint, Outlook
* Excellent verbal and written communication skills
* Strong organizational skills and ability to multi-task with competing priorities
* Ability to work both independently and collaborate as part of a team
* Provide positive customer service for internal and external stakeholders
Education, Experience and Certifications
Enrollment in an associate's, undergraduate or graduate program at a college or university is required. Recent graduates are not eligible for our Developmental Internship program.
Must be legally eligible to work in the United States for the duration of the internship from June 2 - August 7
Physical Requirements
The New York Power Authority is committed to providing fair, competitive, and market-informed compensation. The hourly rate for this position is based on the level of education at the time the intern program begins:
LEVEL HOURLY RATE Sophomore $17.50 Junior $21.50 Senior (or May 2027 graduate) $21.50 Current graduate/law student $24.50
The New York Power Authority and Canal Corporation believes that diversity, equity, and inclusion drive our success, and we encourage women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents and veterans to apply. As an equal opportunity employer, NYPA/Canals is committed to building inclusive, innovative work environments with employees who reflect communities across New York and enthusiastically serve them. We proudly celebrate diversity and do not discriminate based on race/color, creed/religion, national origin, citizenship or immigration status, age, disability, military status, gender/sex, sexual orientation, gender identity/expression, pregnancy and related conditions, familial/marital status, domestic violence victim status, predisposing genetic characteristics, arrest/criminal conviction record or any other category protected by law.
NYPA/Canals will also provide reasonable accommodations during the hiring process related to candidates' disabilities, pregnancy-related conditions, religious observances/practices and/or domestic violence concerns. To request an accommodation, please email accessibility@nypa.gov.
Nearest Major Market: White Plains
Nearest Secondary Market: New York City
Job Segment: Summer Internship, Intern, R&D, Project Manager, Entry Level, Research, Technology
Network Planning Data Scientist (Manager)
Data science internship job in White Plains, NY
Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes.
This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency.
Responsibilities
Analyze and Monitor Network Performance
Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements.
Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness.
Modeling & Optimization
Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions.
Support the design, testing, and implementation of software optimization tools to enhance operational decision-making.
Reporting & Governance
Develop periodic performance and reliability reports for customers, assisting in presentation creation
Produce regular and ad hoc reports to monitor compliance with established operating parameters.
Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets.
Cross-Functional Collaboration
Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution.
Provide insights that inform schedule adjustments, fleet utilization, and contingency planning.
Innovation & Continuous Improvement
Identify opportunities to streamline workflows and automate recurring analyses.
Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility.
Qualifications
Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI)
Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience.
5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning
Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation.
Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment.
Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders.
A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement.
Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations
Salary Range: $131,500 - $177,500
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ******************************************
To view our Pay Transparency Statement, please click here: Pay Transparency Statement
“Know Your Rights: Workplace Discrimination is Illegal” Poster
The "EEO Is The Law" Poster
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