Data Modelling Consultant Jobs

Citi's Investor Services Technology group is seeking a strategic and technically accomplished Services Pricing Studio Technology Lead the design and delivery of a transformational pricing platform that powers how Citi prices, structures, and wins Investor Services mandates globally. The Pricing Studio will serve as the definitive tool for Sales, Product, and Finance teams — enabling dynamic fee modelling, scenario analysis, competitive benchmarking, and deal approval workflows. You will lead a focused engineering team and work in close partnership with Investor Services business leadership, Finance, and Data teams to build a platform that directly influences Citi's revenue growth and competitive positioning. This role demands a rare combination of pricing domain expertise, data engineering depth, AI driven engineering acceleration and the ability to translate complex commercial logic into elegant, scalable software. Responsibilities: Pricing Studio Platform Design and deliver the Pricing Studio as a unified, self-service platform for fee modelling, deal structuring, and pricing approval — supporting all Investor Services products including Fund Admin, Custody, and Securities Finance. Dynamic Pricing Engine Architect a configurable, rules-driven pricing engine capable of modelling complex fee structures, volume discounts, bundled pricing, and multi-product deal economics — with real-time scenario comparison and profitability analysis. Deal Approval Workflow Implement structured deal approval and governance workflows — integrating pricing decisions with Finance sign-off, risk thresholds, and regulatory guardrails to ensure every deal is commercially sound and compliant. Stakeholder Partnership Act as the primary technology partner for Sales, Product, Finance, and senior busi

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: We are seeking an experienced and articulate Finance Manager to join our Global Real Estate Finance team in Mumbai. In this role, you will hold key ownership of real estate cost tracking and business casing, with specialized expertise in IFRS 16 (Leases) and modelling sublease arrangements across multiple global jurisdictions. The role would also involve engaging with out global FP&A function to help model long term plans and company wide establishment tracking. This position requires exceptional communication and presentation capabilities across a global network of properties from the World Trade Centre in New York to large London campuses. You will collaborate daily with global stakeholders—including Global Real Estate Leads, Regional Finance Directors, and Executive Leadership—translating complex international lease accounting data into clear, visual, and compelling executive presentations. What you'll be doing: Global IFRS 16 & Sublease Technical Accounting Global Portfolio Ownership: Drive technical accounting and financial compliance under IFRS 16 across the enterprise’

SLSQ427R539 The Sales Strategy team works directly with Databricks’ Sales Leadership team to accelerate growth. Our team is focused on empowering our stakeholders and senior leadership with data-driven insights & tools to shape the GTM strategy & drive operational scale in an extremely high-growth environment. We are looking for a Sales Strategy & Execution Manager to serve as the business partner for the MEA (Middle East and Africa) leadership team under the EMEA Business Unit. This is a critical and visible position to shape the GTM Strategy of one of the fastest-growing regions at Databricks. In this role, you will conduct in-depth analyses on the business, build scalable tools for stakeholders, and own operational cadences for the MEA team. You must be able to deal with the day-to-day operational requirements whilst never losing sight of the long-term strategy & objectives. Alongside supporting the MEA team, you will also be involved in EMEA- and global-level initiatives. This is a core part of the role, helping ensure we maintain collaboration across the various EMEA regions and share best practices. The ideal candidate is a self-starter with endless curiosity who can work cross-functionally to tackle complex problems end-to-end. We are looking for someone who is solution-oriented and thrives in diving deep into ambiguous data sets to derive recommendations to drive business decisions. The impact you will have: Directly serve as the Strategy partner for the VP MEA & their leadership team Act as the champion and challenger of the MEA leadership team Independently own analysis with large datasets to gather insights & guide investment and growth Own all reporting, forecasting, territory planning, and quota/productivity modelling Work cross-functionally and globally with internal stakeholders, identify optimisation opportunities, and resolve business and data challenges What we look for: Strong

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Department ADTS ATI PI Project Title Faster Cell Metrics Drift Detection Using Advanced Data Analytics Project Description The intern will undertake a structured engineering project to develop data analytics and detection models for the early identification of cell metric drift using large-scale manufacturing test and measurement data. Under the guidance of experienced engineers, the intern will analyze relationships among inline, probe, cell metric, and quality data. The intern will gain exposure to industrial data analytics, statistical analysis, detection modelling, and visualization techniques used in semiconductor manufacturing. The project may also involve AI-Enabled workflows for data exploration, pattern identification, and analytical productivity. Project activities will focus on defined analytical assignments and measurable learning outcomes. Objective of the Project Develop an understanding of cell metrics and their relationship with semiconductor manufacturing and product-quality data. Analyze manufacturing data to identify early indicators of cell metric drift. Develop a detection methodology for monitoring selected cell metrics and potential quality excursions. Communicate a

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Location Micron Singapore, Fab 10 (1 North Coast Drive, Singapore 757432) Department Photolithography Process and Equipment Engineering Project Title AI-Enabled Quality Drift Detection and Engineering Workflow Automation Project Description Advanced data analytics and machine learning are increasingly used in semiconductor manufacturing to improve efficiency, process control, and quality performance. This internship project focuses on applying data analytics and machine learning techniques to large-scale quality datasets for faster detection of quality-metrics drift. The intern will contribute to an end-to-end solution covering data querying, preprocessing, analytics, modelling, and results visualization. Objective of the Project Develop analytical models for monitoring key quality metrics and detecting potential drift. Apply machine learning and multivariable analysis to large-scale test and measurement data. Create automated workflows that improve engineering productivity and analytical efficiency. Develop visualizations that communicate model results and quality trends effectively. Opportunities for Full Tim

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Key Responsibilities: Collection Strategy & Analytics - Develop strategies for all collections related activities and ensure that the processes are followed as planned Analyzing the data and Implementing different collection strategies with Data Science Regular improvement in processes & collection strategies. A/B testing, data analysis and iterations. Develop and implement advanced analytics approaches including statistical modelling Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line. Break down the Loss forecasts into collections roll rates and recovery rates Track Account-to-Collection Ratios (ACR) by bucket to optimize collections performance Segmentation analysis has to be conducted using analytical tools and strategies for each segment have to be deployed across buckets. Devise Champion Challenger programs showing Cost Vs Benefit analysis driving higher resolution rates across products and buckets Analyzing data: Performing quantitative and qualitative analysis on accounts. Developing strategies: Developing collection strategies based on insights from stakeholders. Implementing strategies: Working with the collection strategy support unit to implement and control the execution of strategies. Improving processes: Automating processes, data, and models to improve productivity. Forecasting losses: Increasing the accuracy of loss-forecasting strategies. Segmenting customers: Developing more effective contact strategies by segmenting customers, including behavioral segmentation. Meeting regulatory requirements: Applying individualized c

About the Team At Trendyol Operations, we optimize systems, enhance efficiency, and harness technology to deliver seamless e-commerce experiences. From robotics to automation, we leverage cutting-edge solutions to meet the needs of millions. We work cross-functionally with teams across the business, turning ambitious goals into reality through data, speed, and teamwork. In a culture that values ownership, impact, and inclusivity, we grow together — as individuals and as a team. About the Role You will work across operations teams to drive strategic priorities, lead impactful projects, and improve processes through technology, benchmarking, and best practices. You will own strategic planning, including KPIs, targets, long-term modelling, and expansion plans, while contributing to the AI agenda by identifying and implementing high-value opportunities. You will lead operational projects, align stakeholders, track key metrics, and provide data-driven insights to support decision-making. Responsibilities Wearing many hats: partnering with all operation departments on strategic topics and operational priorities, Owning the strategic planning agenda of operations: from KPI setting and target revisions to long-term modelling and expansion plans Identify opportunities to improve processes and strategies with technology solutions by benchmarking, and finding best practices, Contributing to the AI agenda across operations: exploring where AI can add value and working with teams to bring these ideas to life, Leading and/or supporting ops projects and new initiatives and managing the scope and requirements for all stakeholders, Monitoring key performance metrics and executing project plans with teams to improve business processes and functions, Designing comprehensive analyses and models to identify challenges and solutions with support on decision making across the company. Expected Qualifications University

JOB DESCRIPTION Researchers are responsible for applying, adapting, and extending existing results in the broad field of machine learning, while also conducting novel research as required. We are interested in all aspects of ML including: predictive modelling, clustering, time series analysis, natural language processing, and computer vision. Successful researchers manage all aspects of the research process including methodology selection, data collection and analysis, implementation and testing, prototyping, and performance evaluation. Some successful researchers have joined us from similar backgrounds at other firms. Others have joined from related fields or directly from academia and have thrived with hands on guidance from our large team of experienced portfolio managers and researchers. Our most exceptional team members combine strong technical skills and a passion for problem solving with an intense curiosity about financial markets and human behavior. DESIRABLE CANDIDATES Students enrolled in a PhD program in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Passion for seeing research through from initial conception to eventual application. Curiosity about financial markets Strong scientific programming in Python, R or Matlab. Empirical, detail-oriented mindset. Sense of ownership of his/her work, working well both independently and within a small collaborative team. We’re looking for exceptional colleagues with unparalleled passion. If you’d like your resume to stand out, tell us about your exceptional personal achievements, even if they have nothing to do with finance. Of course we love to hear more about specific engineering or data projects that you’ve worked outside of school, or as part of your curriculum. If you’re proud of the work you did we want to hear abou

Senior Low Observables Design & Integration Engineer - Pole Model Company: The Boeing Company Come join a winning team and support the development of Boeing’s Next Generation Air Dominance (NGAD) platforms. The Boeing Defense, Space & Security (BDS) - Phantom Works organization is seeking a Senior Low Observables (LO) Design & Integration Engineer to lead design and analysis activities supporting the fabrication and test of an RCS pole model. The successful candidate will apply deep expertise in LO materials, integration, manufacturing, computational electromagnetic (CEM) modelling, and test support to design, build and test a representative pole model for an advanced next generation program in the St. Louis region. Key Responsibilities: Lead detailed LO design and integration for the RCS pole model, including material selection, incorporation of advanced technologies, supplier hardware integration. Use computational electromagnetic solvers to model, analyze, and optimize radar cross section (RCS) and scattering behavior across required frequency bands and aspect angles in support of pre-test predictions and diagnostics. Work with Manufacturing to ensure proper alignment between design, analysis and fabrication of LO components. Define and support fabrication processes, QA checks, and build plans for LO skins, coatings, RAM treatments, and attachments; identify and mitigate manufacturability risks, provide LO liaison support to the shop. Develop and execute test plans for RCS characterization (anechoic chamber and outdoor ranges), including instrumentation, calibration, and measurement repeatability considerations. Prepare and execute data processing workflows to reduce, calibr

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As our Senior Reward Analyst you will join a close-knit Reward team, working cross-functionally with HR Business Partners, Talent Acquisition, Finance, and fellow "Trusties" to drive data-informed people decisions. Our mission is to deliver equitable, transparent, and market-competitive compensation and benefit programs that attract and retain top global talent. In this r ole, you will tackle exciting challenges—from designing total reward dashboarding and leveraging compliant AI solutions to leading key annual review cycles, equity grants, and global market benchmarking. You will also play a pivotal role in advancing our pay equity analysis, statutory gender pay gap reporting, and job architecture , directly reinforcing our commitment to an inclusive, transparent, and open-to-all workplace culture . If you are a collaborative data enthusiast eager to deliver impactful insights and elevate our global reward strategy, we would love to welcome you aboard. What you’ll be doing: Analyze market data to inform compensation and benefit decisions that will enhance our ability to attract top talent across the countries the business operates Stay up to date with market trends and legislation to advise identify risks and opportunities Support/lead on activities required to deliver a well communicated and accurate annual salary review, bonus calculation, equity grants, benefits window and promotion cycles. Partner with Finance on budget modelling, cost analysis and scenario planning. Support the design of new/updated benefits, short term incentives and long term incentives Run regular pay equity analysis and support statutory ge

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. About Micron Micron is a global leader in memory and storage solutions, enabling transformative technology that enriches life for all. With over 40 years of innovation, Micron plays a pivotal role in the data-driven economy, where memory and storage are strategic differentiators. We are committed to sustainability, employee well-being, and community support, and we foster a culture of inclusion, collaboration, and continuous improvement. Job Summary Be part of a fast-paced and innovative team at Micron, the world’s memory expert, where we value people, tenacity, innovation, customer focus and collaboration. In Planning IE (Industrial Engineering) we are dealing with capacity modelling for the Fab to ensure right tools are purchased at the right time to meet customer demand. It is our passion to strive to be the best and fuel our future with excellent execution! In this role, you will have sustaining ownership on key information and critical planning parameters in a fast-paced manufacturing environment. We work closely to partner with the various teams in the company to prepare the information for scenario studies and drive continuous enhancements to the plans. Main Responsibilities: Maintain accurate capacity modelling of assign

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As our Senior Reward Analyst you will join a close-knit Reward team, working cross-functionally with HR Business Partners, Talent Acquisition, Finance, and fellow "Trusties" to drive data-informed people decisions. Our mission is to deliver equitable, transparent, and market-competitive compensation and benefit programs that attract and retain top global talent. In this r ole, you will tackle exciting challenges—from designing total reward dashboarding and leveraging compliant AI solutions to leading key annual review cycles, equity grants, and global market benchmarking. You will also play a pivotal role in advancing our pay equity analysis, statutory gender pay gap reporting, and job architecture , directly reinforcing our commitment to an inclusive, transparent, and open-to-all workplace culture . If you are a collaborative data enthusiast eager to deliver impactful insights and elevate our global reward strategy, we would love to welcome you aboard. What you’ll be doing: Analyze market data to inform compensation and benefit decisions that will enhance our ability to attract top talent across the countries the business operates Stay up to date with market trends and legislation to advise identify risks and opportunities Support/lead on activities required to deliver a well communicated and accurate annual salary review, bonus calculation, equity grants, benefits window and promotion cycles. Partner with Finance on budget modelling, cost analysis and scenario planning. Support the design of new/updated benefits, short term incentives and long term incentives Run regular pay equity analysis and support statutory ge

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? To have the opportunity to collaborate with Cohere researchers and tools on designing and implementing novel research ideas and shipping state-of-the-art models to production. We have openings in teams covering base model training, retrieval augmented generation, data and evaluation, safety, and finetuning, to name a few; and we are open to receiving intern applications in any research area relating to LLMs to broaden your research connections while obtaining deep experience in a growing AI startup. Please Note: To be eligible for a Research Internship, you must be currently pursuing a PhD in Machine Learning, NLP, or a related discipline. You need to be available for a full-time internship that lasts for 4-6 months. As a Cohere Research Intern, you will: Conduct cutting-edge machine learning research, building and training large language models. Focus on research projects aimed at expanding the frontier of knowledge in language modelling and associate areas such as evaluation, multimodal models, optimisation etc. Disseminate your research results through the production of publications, datasets, and code. Contrib

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members across UK and India Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM: The Product Security team at Tide is responsible for embedding security across the full product surface, from secure design and threat modelling through to application-layer controls and vulnerability management. Within Product Security, the Remediation Operations function owns the day-to-day engine of Tide's vulnerability management programme: turning a high volume of findings from across our tooling estate into clear, prioritised, actionable work for engineering and IT teams. This role sits at the heart of that function. You will be the connective tissue between security tooling and the teams who fix things, making sure the right vulnerabilities reach the right people with the right context, and that the

A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions, from invoicing to accounting. Tide is transforming the small business banking market and now supports over 2 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data driven decisions to serve our mission: to help SMEs save time and money so they can get back to doing what they love. Tide facts: Tide is available for UK, Indian, German and French SMEs Over 2 million members across UK and India Over $300 million raised in funding Over 2,800 Tideans globally Recognised with Great Place to Work certification three years in a row, and among India’s Top 50 Best Workplaces in Banking, Financial Services, and Insurance in 2026 We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram, New Delhi, Berlin, Paris and Luxembourg ABOUT THE TEAM: The Product Security team at Tide is responsible for embedding security across the full product surface, from secure design and threat modelling through to application-layer controls and vulnerability management. Within Product Security, the Remediation Operations function owns the day-to-day engine of Tide's vulnerability management programme: turning a high volume of findings from across our tooling estate into clear, prioritised, actionable work for engineering and IT teams. This role sits at the heart of that function. You will be the connective tissue between security tooling and the teams who fix things, making sure the right vulnerabilities reach the right people with the right context, and that the