Data Modelling Consultant Jobs

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

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

About the Team: A well-established quantitative portfolio management team at Point72 is looking for an experienced quantitative professional to develop and trade systematic macro strategies, with a focus on market microstructure. The candidate will be given the resources and support to drive the build out and expansion of the quantitative macro business. Role/Responsibilities: Perform rigorous and innovative research to develop systematic signals for global macro (futures, FX, etc.) markets, with a focus on market microstructure signals Perform feature engineering with order book tick data at intraday to daily horizons Perform feature combination using various modeling techniques ranging from linear to machine learning models Participate in the research pipeline end-to-end, including signal idea generation, data processing, modeling, strategy backtesting, and production implementation Help drive the growth of the investment process and research capabilities of the team Work in a team of highly qualified and motivated individuals with access to a cutting-edge research and trading infrastructure and clean datasets Assist in building, maintenance, and continual improvement of production and trading environments Requirements: MS or PhD in physics, engineering, statistics, applied math, quantitative finance, or other quantitative fields with a strong foundation in statistics 4+ years of experience in quantitative research, building statistical models for intraday to daily trading, as part of a successful proprietary trading team with a track record Knowledge of market microstructure for futures and/or FX Prior experience with tick data based feature generation, modelling, and monetization Demonstrated proficiency in Python, R, or C/C++. Familiarly with data science toolkits, such as scikit-learn, Pandas Collaborative mindset with strong independent research abilities Commitment to the highest ethical standards

Roles & Responsibilities Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business & product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Power BI, Gsheets for operational and management reporting Data extraction as per business request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing Desired Skills and Experience: 3 - 5 years working with large data sets and conducting quantitative analysis Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions). Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R/Python Previous experience with working on ecommerce funnels, retention Ability to think through product and business metrics to assess product features Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive Qualifications Bachelor’s in engineering, Computer Science, Economics, Statistics, or related discipline from a reputed institute ...........................

NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we are tapping into the unlimited potential of AI to define the next era of computing. As an NVIDIAN, you will address challenges spanning architecture, silicon, firmware, software, and production — and excellent judgment matters as much as technical depth! Every major NVIDIA silicon product family—from the chips powering AI and datacentre systems to gaming, professional, embedded, and automotive platforms—passes through our productization work on its way to production. NVIDIA’s Silicon Co-Design Productization team works from pre-silicon strategy and feature development through bring-up, characterization, correlation, and optimization. Our charter spans power & performance modelling, bring up & tuning of low-power features, power & thermal controllers , and system-level optimization that ultimately shape how NVIDIA products are configured, binned, specified, and shipped. What you'll be doing Drive silicon power productization from pre-silicon planning through bring-up and production, including test strategy, feature readiness, characterization, and optimization. Partner with architecture and design teams to identify improvements, validate features, and help translate them into production-ready solutions. Correlate measured silicon behaviour with pre-silicon expectations, investigate gaps, and drive complex issues to root cause. Build power and performance models and characterization methodologies that decide silicon binning, product specifications, productization decisions, and customer guidance. Use AI/ML and data-driven methods to analyse characterization & telemetry data, identify anomalies & trends , and accelerate issue debug across silicon, board, power delivery, firmware,

Citi's Asset Backed Securitization and Financing business is one of the most active and diversified structured finance platforms in the market, operating across a broad range of asset classes including auto, equipment, consumer, solar, with a focus on the esoteric products. The team sits within Citi's Spread Products Business group and works across the full securitization lifecycle — from new-issue structuring and deal analysis through to ongoing surveillance and performance monitoring. The business partners closely with originators, underwriters, and investors globally, leveraging deep analytical capability and market expertise to deliver best-in-class structured finance solutions at scale. We are looking for a Vice President/ Director to join the Financing and Securitization Analytics team in a structuring-focused role, where you will own the development and management of cashflow models across a large and varied ABS portfolio, support deal structuring workflows. This is a role for a structured finance professional who combines strong quantitative and modelling skills with the ability to work across deal teams, mentor analysts, and contribute to both the analytical and operational infrastructure of a high-performing business. Key Responsibilities Lead the structuring and execution of ABS transactions, including warehouse facilities and term securitizations, across Core (Auto, Personal Loan, Equipment) and Esoteric (Aviation, Data Center, Triple Net Lease) asset classes. Develop, maintain, and enhance detailed cash flow, collateral, and credit models using Excel, Intex, and related analytical tools. Conduct rigorous quantitative analysis, including bond math, scenario analysis, and stress testing, to assess deal economics, structural features, and credit risk. Coordinate execution with internal teams including credit risk, capital markets, syndicate, sales, trading, legal, and operations

Banking hasn’t changed much in decades. We’re changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we’re just getting started. As our new Head of Finance Transformation & Controlling you’ll join the Finance team based in Copenhagen, reporting to Britta, Director of Finance Operations, working to rebuild how Lunar’s finance function reports, closes and runs on data. What will you do? Lead our Business Central migration end-to-end — design, chart of accounts mapping, dimensions, and the deadline that comes with it Own management reporting and drive the close towards a business-day-five target, with automation replacing manual work Own group consolidation and IFRS 9 expected credit loss model readiness, from new accounts through to audit readiness Design the controls and segregation-of-duties framework that Accounting operates — one framework, not two competing ones Run the data quality programme and get cross-functional data ownership agreed across Finance, Tech and Product What are we looking for in you? Experience leading a finance transformation programme in a bank or another regulated financial institution — and taking it to completion Hands-on experience of an ERP implementation or migration, with real ownership of chart of accounts and dimension design Strong controlling background: management reporting, consolidation, cost control and close acceleration Working knowledge of IFRS 9 expected credit loss modelling, or the quantitative grounding and appetite to own it Ability to influence across Finance, Tech and Product without line authority — much of this role is landing decisions that a

Description Dawn Aerospace is looking for a System Design Engineer to lead the system-level development of custom spacecraft propulsion systems. In this role, you will be responsible for the full development lifecycle, from requirements definition and concept development through detailed design, integration, testing, and delivery. The role involves close collaboration with customers, project managers, and multidisciplinary engineering teams. Key Responsibilities Act as the technical lead for the entire development cycle of a custom propulsion system Define and manage system-level requirements and establish their verification methods Define the technical budgets for the propulsion system Define the propulsion system architecture Develop the detailed design of the propulsion system Support AIT activities during propulsion system integration and testing Serve as the technical point of contact for the customer Work closely with project management and subsystem experts Required Experience: A degree in aerospace, mechanical, or system engineering, or a closely related technical discipline At least three years of experience in the design and development of spacecraft systems or comparable hardware Experience in customer engagement Demonstrated ability to work within multidisciplinary engineering teams Proficiency in computer-aided design; experience with SolidWorks is preferred Experience using MATLAB, Python, or comparable tools for engineering analysis, modelling, data processing, or workflow automation Desired Experience Experience with chemical or electric spacecraft propulsion systems Hands-on experience with aerospace hardware assembly, integration, and testing Working knowledge of ECSS, NASA, or comparable industry standards Experience collaborating across geographically distributed engineering teams Experience delivering flight hardware through rapid development cycles Note that the role is a permanent position that will start with a fixed-term contract of 12 month

About Us Tamara is a leading fintech platform in Saudi Arabia and the GCC region with a mission to help people own their dreams built on being simple, trusted, and everywhere our customers need us. Today, more than 25 million customers and over 130,000 partner merchants depend on Tamara every day for reliable financial solutions across retail, travel, education, healthcare, and beyond. Tamara is backed by Sanabil Investments, a wholly owned company of the Public Investment Fund (PIF), and SNB Capital, among others. operating out of its headquarters in Riyadh, Saudi Arabia with other regional and global support offices. Your Role: As our Financial Reporting specialist, you're the maestro behind our financial harmony. Your mission is to nail the accuracy, transparency, and compliance of our financial reporting, crafting financial reports and disclosures in compliance with international accounting standards and best practices. We are all about collaboration here, so team up with our internal squads, analyze financial data and freely apply your strong analytical skills. A keen attention to detail, profound understanding of accounting standards, and proficiency in financial modelling are integral to this role. Your responsibilities: 1) Financial Reporting & Consolidation: ● Prepare accurate and timely financial reports and disclosures in compliance with international accounting standards (IFRS). ● Manage and execute the consolidation process, ensuring accurate aggregation of financial data for various entities and subsidiaries. ● Prepare accurate and timely monthly management reporting packs along with key metrics. ● Collaborate with internal teams to gather financial data and ensure completeness and accuracy. ● Conduct analysis to identify and explain significant variances in Financials. 2) Data Analysis and Automation ● Liaise with the data analytics team to automate financial reporting metrics /dashboards through report

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview As a Senior Software Engineer II in the Ads Quality team specializing in ML infrastructure, you'll work with a team of software and machine learning engineers to build state-of-the-art systems that optimize Ads performance throughout the ads serving funnel, from retrieval to pricing. You'll own the technical direction of our data, feature processing and model training/serving solutions, enabling next-generation modelling opportunities—from utilizing out of the box LLMs to building bespoke Foundation Models that powers all the Ads use cases. You will eliminate bottlenecks across the training and serving system to optimize stability, latency and cost. Building on Instacart's unique data and market position, these systems create value for advertising partners, improve consumer experience, and directly contribute to Instacart's overall revenue / business succe

Job Title AI Senior Systems Engineer (AI for RAMS & Systems Engineering) Job Description As an AI Senior Systems Engineer, you will help shape the future of Systems Engineering at Philips by driving the application of Artificial Intelligence within Systems Engineering and Reliability, Availability, Maintainability and Safety Engineering (RAMS) practices. You will identify opportunities where AI can enhance engineering activities, improve engineering productivity, and increase the quality, consistency, and traceability of engineering deliverables throughout the product development lifecycle. Acting as a thought leader and trusted advisor, you will help engineering teams understand, adopt, and effectively apply AI technologies within their daily engineering work. Working closely with systems engineers, RAMS engineers, architects, software teams, and AI specialists, you will bridge the gap between engineering challenges and emerging AI capabilities. You will contribute to the evolution of engineering methodologies, tools, and best practices that enable the next generation of AI-enabled Systems Engineering and RAMS Engineering at Philips. Your role: Drive the adoption of AI within Systems Engineering and RAMS practices across Philips. Identify, develop, and scale AI use cases for requirements engineering, system architecture, modelling, verification, validation, traceability, and engineering knowledge management. Identify, develop, and scale AI use cases for RAMS engineering like FMEA, data analysis, HALT/ALT, Modelling Simulation & Analysis, for Hardware and Software Support engineering teams in evaluating and implementing AI-enabled engineering workflows, methods, and tools. Coach and educate Systems Engineers, RAMS Engineers, Architects, and technical leaders on the opportunities, limitatio

What You Will Achieve As a Senior Scientist, you will be at the center of our operations and you’ll find that everything we do, every day, is in line with an unwavering commitment to quality. You will be recognized as a technical expert and a scientific contributor. With your deep knowledge of the discipline, you will be an active team member whose decisions impact the projects. You will perform qualitative and quantitative analyses of organic and inorganic compounds to determine chemical and physical properties during chemical syntheses, or drug product development process. You will be using your scientific judgment to adapt standard methods and techniques by applying prior work experience. You will be forecasting and planning resource requirements for your project team. Your creativity in developing novel processes and new ideas will be used frequently. You will undertake mentoring activities to guide team members. It is your innovative scientific temperament that will help in making Pfizer ready to achieve new milestones and help patients across the globe. How You Will Achieve It This colleague will be responsible for developing analytical strategies in support of pharmaceutical drug substance and/or drug products during all development phases, including supporting manufacturing process development, developing, validating and transferring analytical methods, designing stability studies for shelf life assignments, and developing impurity control strategies. Collaborates with colleagues and subject matter experts to assess the most appropriate analytical approach to support project activities, including use of computational predictive tools, modelling software and data visualization tools where appropriate. Perform lab work and delegate responsibilities and review peer lab work as appropriate, Through effective communicat

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 F10 site, 1 North Coast Drive, Singapore 757432 Department Process Engineering Project Title PSK Thermal Optimization for Advanced Semiconductor Manufacturing Project Description The intern will undertake a structured Process Engineering project focused on wafer thermal management and plasma strip process optimization. Under the guidance of experienced engineers, the intern will investigate the impact of chuck temperature on wafer thermal behaviour, film properties, and process performance. The project will involve experimentation, Design of Experiments, statistical analysis, process modelling, and data visualization. The intern will also gain exposure to AI-Enabled data exploration and predictive analytics for identifying process relationships and optimization opportunities. Through this project, the intern will develop practical knowledge of semiconductor manufacturing while contributing data-based recommendations for improving process robustness, yield, productivity, and cost performance. Objective of the Project Develop an understanding of wafer thermal management and plasma strip processing in semiconductor manufacturing. Characterize the relationshi

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. Our Finance team shapes the company's future by directing capital to high-impact investments, developing robust financial strategies, and ensuring we deliver long-term value while pursuing our ambitious mission. We’re looking for a Finance & Strategy Senior Associate to join our London team. In this role, you’ll work with partners across Deliveroo to ensure we are making efficient, data-driven decisions that evaluate the effectiveness of our products and unlock new avenues for growth. Get to know our Finance team — what drives us, how we work, and what you can expect. What You’ll Be Doing You’ll be joining the Finance & Strategy team. We accelerate the growth of our business by implementing new opportunities and solutions, partnering across the company to improve the profitability and scalability of our business model. Here’s what your day-to-day might look like: Consumer Product Impact: Evaluate the effectiveness of high-impact consumer products at scale and develop creative growth strategies. Strategic Modelling: Build custom financial models tailored to specific business needs to improve high-stakes strategic decision-making. Framework Development: Collaborate with stakeholders to develop new investment decision-making frameworks and processes in a fast-paced environment. KPI Analysis: Track and analyse key business and financial KPIs, uncovering trends to assess risks and future opportunities. Operational Scaling: Lead special projects to automate and scale reporting tools, investment frameworks, and cost-tracking met

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! We’re a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there’s still an exciting journey ahead of us. Do you want to join us at the heart of trust? We’re currently looking for a Senior UX researcher to join our team at Trustpilot. Our goal is simple: to become the most trusted reviews platform in the world. We will achieve this by being ready and willing to disrupt ourselves through innovation, data and insight and adding product professionals with ambitions that match our own. As Senior UX Researcher, you'll be the go-to expert on measuring how people and businesses experience trust on Trustpilot , from reading a review to deciding our platform is worth paying for. You'll own the quantitative research agenda for your product areas, set the bar for statistical rigour across the team, and partner with Data Science to build a shared measurement culture. What you'll be doing: Research strategy & execution Design and own the quantitative research roadmap for your product areas, e.g. attitudinal measurement, behavioural analysis, and longitudinal tracking. Lead large-scale surveys (validated scales, NPS derivatives, trust-perception metrics) and log-data/behavioural analytics (funnels, A/B tests, cohort and retention modelling). Build measurement frameworks that define what ‘good’ looks like for review-reading, purchase-decision, and business-subscription journeys and track them over time. Quantitative methods Lead advanced quantitative research - surveys, behavioural analytics, experimentation, predictive modelling using statistical rig