Data scientist jobs in White Plains, NY - 165 jobs

Data Solutions Intern For the high reaching rising senior seeking a dynamic internship experience, Aon is offering a unique opportunity as a Data Solutions Intern. In this role within Aon's Rewards Solutions practice, you'll collaborate with McLagan, working extensively in financial services compensation surveys and consulting. Dive into empowering global financial firms, asset managers, insurers, banks, and wealth management companies. More information about Aon Rewards Solutions is available at en-us/. Available Locations: Norwalk, CT Aon is in the business of better decisions At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed. What the day will look like Researching and analyzing competitive compensation practices Crafting tailored programs for diverse client needs Hands-on involvement in data analysis and strategic recommendations Engaging in diverse projects across high-growth industries How this opportunity is different 10-week paid program across various U.S. offices Engage in challenging client projects Access to weekly global roundtables with leaders Personalized one-on-one internship mentoring Continuous formal and informal feedback Social outings and community service activities Skills and experience that will lead to success Minimum cumulative GPA of 3.0 Great teammate with independent work capability Involvement in extracurricular activities Proficiency in Microsoft Office Suite Desire to learn and embody Aon's values: integrity, client commitment, and community dedication Critical thinking, problem-solving, and analytical skills Qualifications Rising seniors graduating between December 2026 - June 2027 with a minimum cumulative GPA of 3.0. *Please note: immigration sponsorship not available for this role. What sets our Summer Internship Program apart from the rest? Explore Aon's culture and business areas, developing practical skills vital for your future success and postgraduate opportunities. Engage in weekly spotlights, community outreach events and networking opportunities with peers, fostering an understanding of exceeding client expectations and delivering distinct products and services. Development Planning Participate in a comprehensive development plan that includes deeply understanding Aon's business areas, ethical standards, professional environment, networking opportunities, learning internal systems, and honing interpersonal and team-building skills through collaboration events and colleague networking opportunities. Future Opportunities The Aon Summer Internship Program offers meaningful exposure to Aon, preparing interns for short-term and long-term career opportunities. Outstanding interns may receive offers to join Aon's Launch Program, an early careers development opportunity, upon graduation. How we support our colleagues In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognize that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working! The salary range for this position (intended for U.S. applicants) is $25.00 - $28.00 hourly. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location. Aon offers a benefits package for temporary and seasonal employees who will work 20 or more hours per week including: medical, dental, and vision insurance at the employee's expense, critical illness insurance, 10 Company holidays per calendar year (paid, if eligible), paid sick leave as provided under state and local law, and a 401(k) savings plan with employer contributions. Eligibility for benefits are governed by the applicable plan documents and policies. Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued. Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply. We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. #AonInternUS #LI-SC3 2571951

Title: Data Scientist with SAS Enterprise Miner 3- 5 years experience Location: Jericho, NY - source local first; ok to source national as long as the candidate is willing to relocate at their own expense Duration: 9+ months Visa Type: H1, US Citizen, GC Interview: 1 or 2 rounds of phone followed by onsite. May accept video web conference for out of state candidates Travel: no Rate: open - market rates Description: Analytical Science team is looking for strong Data Scientists who will be primarily responsible for retraining various predictive models using new data source and techniques with the goal to outperformance the existing models. Responsibilities: * Retrain existing predictive models using new data source and possibly new advanced techniques * Work comfortably with multi-terabyte and billion+ rows of data * Perform rigorous model evaluation, design hypothesis tests, oversee test execution and result evaluation Required skills/experience: * Advanced degree in Machine Learning, Applied Math, Computer Science, Economics, Statistics or a related quantitative field * At least 5 years recent experience (within past 3 years) building predictive models using SAS EG and SAS EM * Proficiency in SAS Enterprise Miner/ Enterprise Guide/ Base SAS is critical * Proficiency in Python and R in addition to SAS is a plus * Solid understanding of advanced statistical concepts, especially related to modelling is a must * Experience working with SQL Server, Google Cloud Platform/Google Big Query and Hadoop ecosystem Preference will be given to candidates with: * Practical experience in Neural Network, Random Forest, SVM and any other boosting techniques * Background in collaborative filtering, data mining, machine learning, optimization or statistical theory * Please share the following candidate details with each resume submission: * How many years SAS experience in past 3 years * How many years SAS Enterprise Miner experience in past 3 years * How many machine learning models built within past 3 years

Scope: US, Customer Development Terms & Conditions: Full time, International sponsorship or relocation not supported If you are in the Ice Cream business or consider choosing to work for the The Magnum Ice Cream Company Ice Cream business, you will work for the Global, leading Ice Cream player with €7.9bn Turn Over in 2023. The Ice Cream business is operating in a highly attractive category, as we are part of the 1 trillion snacking and refreshment industry, growing consistently at high pace. We have strong brands equities: 5 of top 10 selling brands including Magnum and Ben & Jerry's. We are investing to unlock the full growth potential of Ice Cream as a standalone entity, once we separate from Unilever, which happened in December of 2025. Ice Cream has distinct characteristics from TMICC's other operating businesses and the growth potential of Ice Cream will be better delivered under a different ownership structure. As an Ice Cream company we are committed to developing and nurturing talent within. You will have ample options for career growth and exploration, allowing you for you to explore roles and opportunities across the new organization. Your career development will be a priority for us, and we are dedicated to supporting your growth journey within the new company. We hope that you will want to build the new chapter of our Ice Cream history together with us. ABOUT ICE CREAM: Life Tastes Better with Ice Cream TMICC Ice Cream is the largest global Ice Cream Company in the world, with over 100 years of experience delivering a diverse range of indulgent, yet responsible, craft food experiences and treats delighting consumers. Committed to innovation, quality, and sustainability we have 35 brands, including 3 one billion Euro brands (Magnum, Wall's, Ben & Jerry's), a strong presence in over 60 countries, generating annual revenue of over $8 billion. All brands are driven to transform moments into memories through indulgent yet responsibly made and marketed products. We have a well-developed strategy to deliver growth and value creation which is clear on where to play and how to win. We turn the ordinary into the extraordinary by designing unique and innovative Ice Cream experiences that make life taste better, creating joyful experiences. In our Ice Cream business, we're crafting the future through innovation and imaginative minds, creating unique products. We spark moments of happiness for people and within the communities where we operate. However, it is not as simple as it may seem. As Ice Cream makers we are serious about happiness. With warm hearts, we create the coolest products. JOB PURPOSE: The Customer Analytics Data Scientist will report to the Associate Director of CD Analytics and Insights and will be responsible for developing advanced analytical models and insights that empower the US Customer Development function to achieve its sales ambitions. In this role, you will have the opportunity to design and implement predictive and prescriptive analytics solutions that drive decision-making across sales, category management, shopper marketing, and channel strategy. This is a hands-on technical role with strong business integration. The ideal candidate not only has deep expertise in statistical modeling and machine learning but also thrives on partnering with commercial and customer development teams to translate complex data into actionable business stories. You will collaborate closely with data engineering to ensure models are seamlessly operationalized within our data ecosystem and brought to life through visualization and stakeholder engagement. KEY RESPONSIBILITIES: Work closely with business stakeholders to translate needs into well designed and executed technology products that are embedded into daily decision-making, with a focus on promotion optimization, syndicated and retailer data, demand forecasting, shopper marketing, digital commerce, and sales reporting Develop predictive and forecasting models (e.g., forecasting demand, pricing, promotions optimization, customer/shopper behavior) that drive commercial decision-making and business performance. Collaborate with data engineering to define consistent business logic and unified data definitions, consistent with how the business operates, that enable self-service analytics and integration across data products. Build advanced analytics capabilities including demand forecasting, promotion performance, assortment optimization, and shopper behavior modeling. Liase with local and global business and technology teams to define, manage, and enhance Magnum's Customer Development analytics capabilities Conduct advanced analytics analyses using data science, machine learning, and AI to uncover insights that generate tangible business value Communicate and deliver engaging data visualizations and data narratives that bring data to life for both technical & non-technical audiences, simplifying complex concepts and enabling decision-making across commercial teams Guide and lead squads or project teams, driving adoption of data science principles and best-in-class analytics approaches to deliver impactful solutions. WHAT YOU NEED TO SUCCEED: Technical aptitude and the ability to lead teams toward business-value focused technology solutions 6+ years of experience with cloud data platforms (Azure, AWS, GCP) and Databricks, with strong proficiency in SQL, PySpark, Python, and DAX for building high-performance data transformations and pipelines. Hands-on experience with Databricks, Azure Data Factory, Delta Lake, Power BI, Alteryx and related cloud data technologies. Proficient in machine learning frameworks and libraries including scikit-learn, TensorFlow, PyTorch, XGBoost Experience with data visualization tools like PowerBI, Tableau. Strong ability to communicate technical findings to non-technical audiences, turning data into actionable business narratives. Intellectual curiosity and strong analytic ability Preparedness to develop a deep understanding of business operations and needs for the Customer Development function Excellent planning, organization, and project estimation skills Strong understanding of the use and management of retailer and syndicated data Ability to work collaboratively with cross functional teams both locally and globally Ability to communicate and present complex topics clearly and compellingly to business stakeholders SKILLS: Strong understanding of data science principles and data visualization approaches Solid understanding of data modelling to support analytics and reporting use cases. Proficiency in coding languages such as Python, PySpark, DAX and SQL Ability to collect business requirements and translate into technical solutions Experience using tools like Databricks, Azure Data Factory, Power BI, and Alteryx Experience leveraging data sources such as Circana, Nielsen, panel data, and retailer data Ability to design intuitive and compelling front end business applications Data Engineering, Computer Science or study in related field. EXPERIENCES & QUALIFICATIONS: Required Experience applying data science, machine learning, and AI to business problems in Consumer Goods organizations Experience designing and implementing end-to-end data analyses and capabilities for a business focused audience Experience creating data visualization dashboards in tools such as PowerBI or Tableau Experience collecting business requirements and translating them into technology projects Experience working in a consumer goods organization Experience with the use and management of retailer and syndicated data (such as Circana, Nielsen) Preferred Experience in a consumer goods Customer Development function Experience with retailer data platforms such as Scintilla, SymphonyAI, 1010data and 84.51 Stratum Familiarity with Digital Commerce and Shopper Marketing data solutions Experience managing analytics teams Pay: The pay range for this position is $99,760 to $149,640. TMICC takes into consideration a wide range of factors that are utilized in making compensation decisions including, but not limited to, skill sets, experience and training, licensure and certifications, qualifications and education, and other business and organizational needs. Bonus: This position is bonus eligible. Long-Term Incentive (LTI): This position is LTI eligible. Benefits: TMICC employees are eligible to participate in our benefits plan. Should the employee choose to participate, they can choose from a range of benefits to include, but is not limited to, health insurance (including prescription drug, dental, and vision coverage), retirement savings benefits, life insurance and disability benefits, parental leave, sick leave, paid vacation and holidays, as well as access to numerous voluntary benefits. Any coverages for health insurance and retirement benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. #TMICC #TMICC ABOUT THE MAGNUM ICE CREAM COMPANY: With 19.000 expert ice cream colleagues and iconic brands like Wall's, Cornetto and Ben & Jerry's, loved in 76 countries, we are the world's largest Ice Cream company leading the industry We have been taking pleasure seriously for more than 100 years, serving happiness with every lick or scoop of ice cream for generations. The Magnum Ice Cream Company (formerly part of Unilever) is all about growth. Growing our business. Growing our customers' businesses. Growing our people's careers. Growth begins with empowerment. So we free our people to be innovative, responsible entrepreneurs, driven and equipped to give our consumers more amazing products and unforgettable moments - and having fun doing it. Here's what defines success in our organization : · We are all about growth · We operate with speed and simplicity · We win together with fun · We boldly innovate to disrupt our industry · We care and challenge · We are experts in the Ice Cream Category ARE YOU EXCITED TO CRAFT THE ICE CREAM FUTURE? Please apply online and do not forget to upload your CV. Your application will be reviewed against the requirements, and we will be in touch shortly after the closing date, with an update on the status of your application. The Magnum Ice Cream Company is an organization committed to diversity and inclusion to drive our business results and create a better future every day for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other characteristic protected by local, state, or federal law and will not be discriminated against on the basis of disability. For more information about your Federal rights, please see Know Your Rights: Workplace Discrimination is Illegal and Pay Transparency Non discrimination Provision. Employment is subject to verification of pre-screening tests, which may include drug screening, background check, credit check and DMV check. If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact your recruiter. Please note: This email is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses. The Protected Veterans or Individuals with Disabilities AAP narratives are available for inspection by any employee or applicant for employment Monday through Friday during normal business hours at establishment.

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.

**A spinout from PsychoGenics Inc, Axelyra** is a well-funded,biotech startupfocused on unmet needs in psychiatric and neurological disorders. We leverage proprietary preclinical platforms and AI-driven analytics spanning both clinical and preclinical behavioral and electrophysiological (EEG) phenotyping to enable a compound re-innovation strategy. We are building AI-enabled platforms that support clinical development, including tools and models that help quantify treatment response, stratify patients, and accelerate learning across trials. Our work is highly multidisciplinary, with day-to-day collaboration across data science/engineering, biologists, translational scientists, and clinicians. PsychoGenics is a preclinical CRO with expertise in central nervous system (CNS) and orphan disorders. PsychoGenics is known for it's cutting-edge translational approach to research, customized solutions, the breadth, and quality of our work, as well as for our ability to identify statistically relevant phenotypic changes that help clients quantify the efficacy of their treatments. With an extensive portfolio of highly predictive disease models and unparalleled experience performing studies for biopharmaceutical companies of all sizes, we enable clients to deliver much needed superior clinical candidates to patients. **Location:** Paramus, NJ (hybrid remote allowed) **Level:** Open (commensurate with experience) **Responsibilities:** + Design, develop, and evaluate ML/DL models for EEG and behavioral datasets. + Perform time-series analytics and feature engineering; build interpretable model outputs for scientific stakeholders. + Create dashboards and visualizations supporting translational insights and clinical trial readouts. + Apply rigorous statistical analysis (study design support, QC, model evaluation, uncertainty). + Work closely with biologists and clinicians to translate scientific questions into measurable signals and actionable endpoints. **Required Qualifications and Skills** : + Bachelor's degree in computer science, Software Engineering, Electrical Engineering, Statistics, Mathematics, or a related field. Master's degree is a plus. + Strong programming and software design skills in Python, with a thorough understanding of software engineering principles, application packaging, and deployment. + Strong experiencewith data analysis libraries or tools (e.g., **NumPy, Pandas, Jupyter** ,notebooks; reproducible workflows). + Experience in developing DL models (e.g., Transformers, CNNs, RNN/LSTM). + Solid background in statistics. + Experience with time-series data. + Experience with computer vision methods (as relevant to behavioral video/pose/features). + Proficiency with Git and GitHub workflows. + Comfort working with biomedical/clinical data and interpreting biological signals (EEG, behavior, trial endpoints). + **Collaborative, driven with experience working in a fast-paced start-up environment.** + Excellent analytical and problem-solving skills, with the ability to deeply understand the "why" and "how" of our work. + Strong communication and teamwork abilities. Salary will be determined by factors including job-related skills, experience, knowledge, education and geographic location. **Total Rewards Plan** Axelyra offers competitive performance-based compensation, comprehensive benefits, and career development opportunities. This role is eligible for annual performance-based raise and discretionary bonus for both individual and PsychoGenics annual performance. Our benefits include: + Medical, dental, vision and life insurance plans + HSA, FSA and dependent FSA + Short- and long-term disability plans + Stock-based incentive plan + 401K with company contribution + Tuition reimbursement + Generous paid time off policy and paid parental leave policy + EAP + Additional voluntary benefits **Axelyra is a veteran/disability/equal opportunity employer.** We take pride in maintaining a diverse work environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, age, sex (including pregnancy, gender identity or expression and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, status as a protected veteran, or any other legally protected status. We strive to create a workplace that cultivates bold innovation through collaboration and allows our people to unleash their full potential. **Reasonable Accommodation** PsychoGenics provides qualified individuals with reasonable accommodation during the application and hiring process. If you require assistance or need reasonable accommodation due to disability, please contact Human Resources at: ************************ **Nearest Major Market:** New York City Apply now »

Akkodis is seeking a Data Scientist for a Contract with a client in Basking Ridge, NJ. You will be responsible for analyzing large-scale wireless and IEN alarm data to detect patterns, reduce noise, and improve network reliability through KPIs, dashboards, and ML-driven insights. Rate Range: $50/hour to $53/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Scientist job responsibilities include: * Analyze large-scale alarm and time-series data from OSS/NMS/EMS systems to identify patterns, recurring fault signatures, and cross-domain trends (RAN, Core, IEN). * Build and deploy ML models for alarm correlation, noise reduction, anomaly detection, root cause analysis, and predictive fault forecasting using Python/R (Pandas, NumPy, Scikit-learn, PySpark). * Design KPIs, dashboards, and real-time monitoring in tools like Tableau/Power BI/Grafana to track network health, MTTR/SLA, and reliability metrics for NOC and engineering teams. * Clean, normalize, and enrich multi-source data (OSS, EMS, NMS, CMDB, performance systems); integrate pipelines on big data platforms (Spark/Hadoop) and streaming tools (Kafka/Flink). * Automate fault insight pipelines and model operations, including versioning, performance tracking, and documentation; collaborate with NOC, Network Engineering, and Reliability teams to operationalize insights. * Communicate findings to technical and non-technical stakeholders, driving proactive maintenance, incident prevention initiatives, and continuous improvement of AIOps/network intelligence capabilities. Required Qualifications: * Bachelor's or master's degree in computer science, Data Science, Telecommunications, or a related field. * 3-5 years of experience in data analytics, machine learning, or network fault management. * Strong proficiency in Python or R with experience in libraries such as Pandas, NumPy, Scikit-learn, and PySpark. * Hands-on experience with wireless networks (2G/3G/4G/5G), OSS/NMS systems, and big data platforms like Spark or Hadoop. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at *****************************. Pay Details: $50.00 to $53.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ****************************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Mindlance is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at ************************* Job Description Bachelors or Master's degree with specialization in Computer Science, Information Systems, Mathematics, Statistics or other quantitative disciplines Excellent ability to query large datasets using SQL queries and working with databases Excellent in programming languages such as Java, Python, etc. Experience in data extraction and processing, using MapReduce, Pig, Hive, etc. Proficient programming skills using SAS and/or R Knowledge of building and applying machine learning or predictive modeling Strong problem solving skills Exceptional ability to communicate and present findings clearly to both technical and non-technical audiences Excellent interpersonal and collaboration skills Additional Information Thanks & Regards, Praveen K. Paila ************

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

**This role is based on-site at our Ridgefield, CT location with hybrid flexibility of 2-3 days per week on-site.** Leads the strategic direction for third-party data enablement at Boehringer Ingelheim, ensuring that data acquisition and management are closely aligned with our established 1-5-year data Horizon data acquisition plans. Champions the implementation of advanced, automated data strategies that align with privacy and compliance standards, positioning the organization at the forefront of data-driven decision making. Provides expert guidance to analytical and reporting teams, shaping best practices in data architecture to unlock new insights and maximize the value of information assets. Leads cross-functional teams to establish and uphold rigorous data quality standards, ensuring that specialty pharmacy, product, and digital identity data are reliable and actionable. Orchestrates vendor relationships and influences SLAs and requirements within contract negotiations to optimize data investments, reduce costs, and secure access to emerging data sources that drive competitive differentiation. By embedding best practices and strategic foresight into every aspect of data governance, this role ensures that third party data is leveraged as a critical asset for US Human Pharma's success. As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. **Duties & Responsibilities** + Lead Boehringer's third party data enablement strategy and is responsible for ensuring the timely availability of all procured data through rigorous prioritization. + Lead the implementation of our linked data strategy processing ensuring the process is automated, validated, and aligns with all necessary data remediation required based on privacy assessments. + Provide data consulting expertise to US Human Pharma analytical, incentive compensation and reporting functions. + Recommend best practices for data structure, incorporating integrated data strategy to maximize analytical and reporting strategic value. + Lead Information Management team members and Shared Services in establishing data quality standards and performing information management for third party data, specialty pharmacy data, products, and digital customer identity data. + Manage data vendors regarding data quality, timing, delivery, performance and / or contract issues. + Assesses new data sources within the pharmaceutical industry, evaluates their impact on business operations, and recommends their implementation across US Human Pharma. + Ensures best practices of third-party data usage. Accountable negotiating third party data vendor pricing in support of sales analytics, managed markets, market research and other various analytical departments. **Requirements** **Requirements** + Bachelors degree from an accredited institution and a minimum of nine plus (9+) years of experience in pharmaceutical industry is required + Master's degree from an accredit institution and a minimum of seven plus (7+) years of experience in pharmaceutical industry + Masters degree preferred. + Must have seven plus (7+) years of related pharmaceutical industry experience with five (5) years of secondary data experience in sales operations, sales/marketing analytics, market research, specialty pharmacy, managed markets or business analysis. + Working knowledge of third party sub-national data sets used to support sales and marketing. Experience with specialty pharmacy and distributor data. + Excellent communication skills both written and verbal. + Demonstrated experience in leading teams and influencing upward. + Ability to manage multiple large vendors and hold them accountable for data accuracy and meeting deliverable. + Prior data governance experience strongly preferred. + Prior budgeting experience helpful. **Desired Skills, Experience and Abilities** + Demonstrated expertise in pharmaceutical datasets and the effective integration of this information for enhanced decision-making. + Demonstrated experience working with Specialty Pharmacy and Hub data + Experience working with multiple data aggregators + Skilled in data tokenization processes (Datavant, et. al.) and applying it to develop unified data products from various sources. + Proficient in organizing and prioritizing tasks efficiently in fast-paced environments + Excellent project management abilities with a proven capacity to oversee several projects simultaneously \#LI-DG1 **Compensation Data:** This position offers a base salary typically between $170,000 and $269,000. The position may be eligible for a role specific variable or performance-based bonus and or other compensation elements. All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.

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

We have a hybrid and flexible environment and encourage employees to come into the office at least 1x/week. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Contribute and possibly lead cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 3+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all.

We seek a Senior Data Scientist (Experimental Design) to join our client's Data Science Lab in a Hybrid role (2 days a week in Office). This is a Direct Hire opportunity. Hybrid Office locations: New York, Holmdel, Stamford, Bethlehem, Pittsfield Your Job As a Senior Data Scientist, you will be responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation. You will collaborate with senior executives on high-impact, high-visibility projects to deliver AI/ML solutions and create value from our data and analytic products. Your responsibilities will include developing test and learn capabilities, designing and executing experiments, creating statistical and AI/ML models, and conducting A/B testing. The Work Develop Enterprise Test and Learn Capabilities Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques to identify opportunities for upscaling the methodology best practices Develop and execute advanced data-driven experiments to optimize various aspects of client's business Create test hypothesis, experiment design including KPI selection, and collect and analyze data Develop statistical and AI/ML models to analyze experimental data and derive actionable insights Apply statistical methods to assess the reliability and significance of experimental results Conduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectives Organize and manage data to extract insights that can be further incorporated into solution/model • Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs Identify source data and data quality checks both in model/solution development and in production Package model/solution and deployment in cooperation with Data Engineers and MLOps Develop Deep Learning/Large Language Model/Generative AI capabilities Map and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs AI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing Contribute to the overall Data Science organization Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups Contribute to standardization of Data Science tools, processes, and best practices Qualifications Combination of education in Statistics, Computer Science, Engineering, Applied mathematics or related field AND professional experience in Data Science or Data Analysis equaling either: PhD with 2+ years professional experience Master's degree with 4+ years professional experience 3+ years of hands-on ML modeling/development experience Strong theoretical foundations in probability & statistics, and causal inferencing techniques Proven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying tests Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Nice to Have Experience in the insurance industry Experience with big data technologies such as Hadoop, Spark, and/or cloud computing Knowledge of Agile development methodology Experience with data visualization tools such as Tableau, QlikView, and/or D3.js #DataScience #MachineLearning #ExperimentalDesign #AI #Python #PyTorch #Tensorflow #Algorithms #MLModeling #DataEngineering #DataWrangling #ETL #DataMatching #DeepLearning #LargeLanguageModel #GenerativeAI #InsuranceIndustry #BigData #Hadoop #Spark #CloudComputing #Agile #DataVisualization #Tableau #QlikView #D3js

**Introduction** **Your role and responsibilities** Senior Data Scientist, IBM Corporation, Armonk, NY, and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): * Implement and validate predictive and prescriptive models, create and maintain statistical models with a focus on big data, and incorporate a variety of statistical and machine learning techniques. * Write programs to cleanse and integrate data efficiently and in a reusable manner, using leading-edge open-source tools. * Work in an Agile, collaborative environment, partnering with other data scientists, engineers, and consultants to bring analytical rigor and statistical methods to the challenges of predicting behaviors. * Communicate with internal and external clients to understand and define business needs and appropriate modeling techniques to provide analytical solutions. * Evaluate modeling results and communicate them to technical and non-technical audiences. * Utilize: Machine Learning and MLOps, Python, SQL, Big Data Management, Advanced Hive SQL Skills and Query Optimization, DevOps, Data Modeling and ETL Development, and Advanced Data Analysis. Required: Master's degree or equivalent in Data Science, Computer Science, Analytics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Engineer, Data Scientist or related. One (1) year of experience must include utilizing Machine Learning and MLOps, Python, SQL, Big Data Management, Advanced Hive SQL Skills and Query Optimization, DevOps, Data Modeling and ETL Development, and Advanced Data Analysis. $169541 to $215000 per year. Full time. SN152. **Required technical and professional expertise** Master's degree or equivalent in Data Science, Computer Science, Analytics or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Engineer, Data Scientist or related. One (1) year of experience must include utilizing Machine Learning and MLOps, Python, SQL, Big Data Management, Advanced Hive SQL Skills and Query Optimization, DevOps, Data Modeling and ETL Development, and Advanced Data Analysis. IBM is committed to creating a diverse environment and 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, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Introduction to the job ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world's leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon. We are currently recruiting for an internship located at our office in Wilton, Connecticut. This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Your Assignment: Investigate cleaning methodologies and their impact on different material surfaces, i.e. efficacy, positive and negative changes at the part surface Understand particle & molecular contaminants transport mechanism in product and test equipment Characterize type and amount of contamination by collecting contamination samples and performing relevant tests Investigate material issues / challenges using appropriate material diagnostic tools like SEM, AFM, WLI, spectroscopy, etc. Clearly communicate progress and status of ongoing technical activities to senior management Write cleanliness and contamination control procedures and train technicians to efficiently implement the procedure in manufacturing. Give presentation to the department at the end of the internship as well as poster to intern community Your Profile: Minimum: Pursuing a Bachelors (upcoming Junior or senior)/ master's degree in chemistry / related surface science / engineering fields Preferred: Pursuing Master's or PhD degree in chemistry / related surface science / engineering fields Strong background of course work and experimental and research background in chemistry, preferred focus on contamination and defect detection Good understanding and experience in verification methods (white light interferometer, ICP-MS, SEM, AFM, ToF-SIMS, Raman spectroscopy, FTIR, etc.) Knowledge of MATLAB and/or Python for data analysis and automation programming Ability to work in the clean room environment implementing knowledge in material and material interaction (especially glass, ceramics, thin film materials, gasses, etc.), with deep understanding of the fundamentals of friction and wear processes Excellent experimental skills Be able to interface with multidisciplinary groups and work effectively in a team and be willing to take on responsibility Skills · Can observe and respond to people and situations and interact with others encountered in the course of work. · Can learn and apply new information or skills. · Must be able to read and interpret data, information, and documents. · Strong customer focus and commitment to customer satisfaction through prioritization, quality, efficiency and professionalism. · Ability to complete assignments with attention to detail and high degree of accuracy. · Proven ability to perform effectively in a demanding environment with changing workloads. · Result driven-demonstrate ownership and accountability. · Identifies bottlenecks and drives improvements. · Work independently or as part of a team and follow through on assignments with minimal supervision. · Demonstrate open, clear, concise and professional communication. · Ability to establish and maintain cooperative working relationships with co-workers and customer. · Work according to a strict set of procedures within the provided timelines. · Possess strong ownership characteristics - demonstrated commitment to achieving results on time. · Have strong written and oral communicative skills - ability to communicate effectively within your team. · Demonstrated “team player” with a quality orientation and interpersonal skills · Capability to interface with multidisciplinary groups, and be willing to take on responsibility, follow through and keep multiple simultaneous tasks on schedule. · Be able to quickly acquire technical knowledge from documentation and on-the-job training and be capable of thoroughly investigating technical issues (analytically and hands-on in a lab). Other information This position is located on-site in Wilton, CT. It requires onsite presence to attend in-person work-related events, training courses and meetings and to further ensure teamwork, collaboration, and innovation. Role within Office Responsibilities Routinely required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. Occasionally required to move around the campus. Occasionally lift and/or move up to 20 pounds. May require travel (specify domestic and/or international) dependent on business needs. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Role within the Factory Responsibilities Must be willing to work in a clean room environment, wearing coveralls, hoods, booties, safety glasses and gloves for entire duration of shift. While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. The employee may occasionally lift and/or move up to 20 pounds. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Additional Responsibilities: There is potential for exposure to strong magnetic fields, high voltage and currents. This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology. Inclusion and diversity ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company. Need to know more about applying for a job at ASML? Read our frequently asked questions. Request an Accommodation ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process. Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

EXCLUSIVE! Highly visible Regional Chief Actuary opportunity with Multinational Insurance leader, offering the chance to lead as Appointed Actuary for U. S. legal entities, sign SAOs, and serve as a trusted advisor to the Global Chief Actuary. Influential role leads actuarial strategy, reserve governance, valuation, and financial reporting while ensuring regulatory compliance across North America. With extensive interaction among worldwide leaders and business partners, the Chief Actuary fosters collaboration across diverse regions by leveraging both cultural and technical expertise. Seeking a relationship-oriented ACAS/FCAS with deep Reserving and Casualty market expertise to guide and inspire a high-performing actuarial team with confidence and integrity. Base salary up to $315K plus a robust benefits package.

Howden Re is the global reinsurance broker and risk, capital & strategic advisor focused on relentless innovation & superior analytics for top client service. About Role This is a Mid-level position and will reside within the Actuarial team. We expect this person to work successfully across Analytics, Actuarial, and Broking functions providing the full suite of actuarial work in support of reinsurance placements for clients. You will be joining an experienced analytics team that produces quality solutions in a collegial, casual, and results-driven environment. Responsibilities | Support: Traditional LR analysis, experience/exposure rating, stochastic modelling, etc Present analyses in clear terms appropriate to the audience Provide value-added service to clients as needed Market research and development & assist senior actuaries with industry studies A high priority will be the development & programming of various tools to aid in streamlining workflow and helping Howden Re fully utilize data Interpersonal | Communication | Teamwork: Willingness to be part of Howden Re's “team first” culture Keen ability to take initiative Sets effective priorities and handles multiple projects under tight timeframes Responds constructively to different viewpoints, changing priorities, new conditions Works well in teams with colleagues of various backgrounds Shares knowledge, opinions and insights in constructive manner Offers to help others without prompting, & assists others in learning Qualifications: ACAS or FCAS required Bachelor's degree from reputable university; advanced degree a huge plus 7-15 years of experience in the (re)insurance industry Able to apply advanced mathematical / actuarial concepts and techniques Skilled in using Microsoft Excel Software experience with R, VBA, Python Proven track record of hard work, client success, and innovation Legally authorized to work in the United States The expected base salary range for this role is $225,000-300,000. The base salary range is based on level of relevant experience and location and does not include other types of compensation such as discretionary bonus or benefits.

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/

Job DescriptionJob Title: Strategy Data & AI Consultant Contract Duration: 12 Months Work Schedule: Part-time (4 days per week) - potential to transition to full-time An Engineering Operations organization is seeking an experienced Strategy Data & AI Consultant to support digital transformation initiatives within its Engineering Solutions and Application Management environment. This role will focus on defining and executing enterprise-wide Data Governance and AI strategies, while partnering closely with technical and business stakeholders to drive innovation, responsible AI adoption, and organizational data maturity. This position requires onsite presence as part of a hybrid work arrangement. Key Responsibilities Develop and implement a Data Governance Strategy to support digital transformation initiatives Define and lead an AI Strategy, including AI adoption, governance frameworks, and staff upskilling Assess organizational data maturity and create a roadmap to advance data capabilities Integrate Responsible AI principles into strategic vision and execution Drive cultural change focused on innovation, experimentation, and AI adoption Establish processes to curate and evaluate AI innovations across the organization Develop and implement an AI Governance Risk Assessment framework Identify required people, processes, and technologies to design, deploy, and operate AI solutions Lead and manage Data Governance initiatives from discovery through delivery and knowledge transfer Collaborate closely with technical teams to align Data & AI strategy with broader organizational AI initiatives Address complex business and technical challenges through strategic analysis and solution design Manage stakeholder relationships to identify opportunities for efficiency, collaboration, and ROI Plan, assign, and oversee project work to ensure timely delivery and effective resource utilization Facilitate workshops, interviews, and working groups to gather requirements and drive change initiatives Required Education & Experience Bachelor's degree in Engineering, Data Science, Computer Science, or a related field (Master's degree highly desirable) 3+ years of experience leading AI strategy and execution in large organizations 5+ years of experience working in or supporting engineering, design, or construction environments 2+ years of hands-on experience with Microsoft Azure AI and storage platforms Strong proficiency with Microsoft Office 365 (Word, PowerPoint, Excel) Demonstrated proficiency with Adobe Acrobat Pro Required Soft Skills Excellent analytical, conceptual, and problem-solving skills Strong verbal and written communication abilities Self-motivated with the ability to manage multiple priorities and deadlines in a dynamic environment Preferred Qualifications Experience with additional AI platforms and technologies For more details reach at *********************** About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.

Trexquant is a growing systematic fund at the forefront of quantitative finance, with a core team of highly accomplished researchers and engineers. To keep pace with our expanding global trading operations, we are seeking a C++ Market Data Engineer to design and build ultra-low-latency feed handlers for premier vendor feeds and major exchange multicast feeds. This is a high-impact role that sits at the heart of Trexquant's trading platform; the quality, speed, and reliability of your code directly influence every strategy we run. Responsibilities Design & implement high-performance feed handlers in modern C++ for equities, futures, and options across global venues (e.g., NYSE, CME, Refinitiv RTS, Bloomberg B-PIPE). Optimize for micro- and nanosecond latency using lock-free data structures, cache-friendly memory layouts, and kernel-bypass networking where appropriate. Build reusable libraries for message decoding, normalization, and publication to internal buses shared by research, simulation, and live trading systems. Collaborate with cross-functional teams to tune TCP/UDP multicast stacks, kernel parameters, and NIC settings for deterministic performance. Provide robust failover, gap-recovery, and replay mechanisms to guarantee data integrity under packet loss or venue outages. Instrument code paths with precision timestamping and performance metrics; drive continuous latency regression testing and capacity planning. Partner closely with quantitative researchers to understand downstream data requirements and to fine-tune delivery formats for both simulation and live trading. Produce clear architecture documents, operational run-books, and post-mortems; participate in a 24×7 follow-the-sun support rotation for mission-critical market-data services. Requirements BS/MS/PhD in Computer Science, Electrical Engineering, or related field. 3+ years of professional C++ (14,17,20) development experience focused on low-latency, high-throughput systems. Proven track record building or maintaining real-time market-data feeds (e.g., Refinitiv RTS/TREP, Bloomberg B-PIPE, OPRA, CME MDP, ITCH). Strong grasp of concurrency, lock-free algorithms, memory-model semantics, and compiler optimizations. Familiarity with serialization formats (FAST, SBE, Protocol Buffers) and time-series databases or in-memory caches. Comfort with scripting in Python for prototyping, testing, and ops automation. Excellent problem-solving skills, ownership mindset, and ability to thrive in a fast-paced trading environment. Familiarity with containerization (Docker/K8s) and public-cloud networking (AWS, GCP). Benefits Competitive salary, plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment while solving the hardest problems in the financial markets. PPO Health, dental and vision insurance premiums fully covered for you and your dependents. Pre-Tax Commuter Benefits Applications are now open for our NYC office, opening in September 2026. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. Trexquant is an Equal Opportunity Employer