Senior Data Modelling Dataverse Jobs

Build something people love Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual and learn more about how we work . The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple. The Growth Data focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives. Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple's customer base. The Growth Data team plays a critical role in enabling data-driven decision making across all marketing channels. We're looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars, driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend. In this role, you'll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You'll work on challenging problems ranging from marketing optimization algorithms to attribution modeli

Senior Data Engineer, Proprietary Research London A Career with Point72's Market Intelligence team On our proprietary research team—Market Intelligence— you will uncover insights about markets and the broader economy through deep compliant fundamental research and applying data science and engineering techniques to alternative data sets. In partnership with our investment professionals and Compliance team, our team of analysts, data scientists and engineers work together to produce compliant research and build tools that inform our firm’s investments. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within. WHAT YOU'LL DO Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end business solutions including data pipelines, products and tools. Design and develop big data processing pipelines including but not limited to ingestion, transformation, trends creation to deliver AI-ready data assets & products. Develop reusable software components, libraries, and APIs that enable rapid experimentation and production deployment Implement data quality, lineage, and governance controls to ensure datasets are reliable, auditable, and compliant with compliance policies Build scalable AI-native cloud-based infrastructure using distributed systems techniques, to deliver efficient data-driven business solutions Optimize performance, cost, and reliability of software systems through benchmarking and iterative improvements WHAT’S REQUIRED 5+ years of experience in Data Engineering, Software Engineering or related field 2+ years of strong experience in Python development Experience with system design and leading multi-person development efforts Experience with distributed data processing frameworks like Spark Experience with building scalable APIs, and software applications w/ focus on backend infra

About Clutch Clutch is Canada's largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee. Named one of Canada's Top Growing Companies two years in a row and awarded a spot on LinkedIn's Top Canadian Startups list, we're looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by world-class investors including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca. About the role At Clutch, we believe advances in AI are fundamentally changing how great products are built. Traditional handoffs between product, design, and engineering are giving way to smaller, faster teams where builders can take ideas from concept to production in days instead of months. As a Senior Data Engineer, you'll own the data platform that powers decision-making across Clutch, from how we buy and price vehicles, to how customers move through our funnel, to how we deliver and finance cars. The pipelines, models, and infrastructure you build will be the foundation our analysts and data scientists rely on every day, including for our fast-growing financial services work. Our data engineers don't just move data, they own outcomes. That means working directly with stakeholders to understand what they need, designing systems that scale with the business, and making sure the data behind every important decision is reliable, well-modeled, and easy to use. If you see a broken pipeline or a question the data can't answer yet and feel compelled to fix it, you'll thrive at Clutch. Technology at Clutch We believe great engineers can learn great technology. Our data team builds with technologies like Snowflake, dbt, Airflow, Python, and

Senior Data Scientist, Financial Services About Clutch: Clutch is Canada's largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that's just the beginning. Named one of Canada's top growing Companies two years in a row and also awarded a spot on LinkedIn's Top Canadian Startups list, we're looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by a number of world-class investors, including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca . About the role: For most of our customers, buying a car is also one of the biggest financial decisions they'll make. That's why we built Clutch's financial services offering, and we're hiring a Senior Data Scientist to help shape what it becomes. Your mission is to bring a financing-first lens to the entire buyer journey. That means helping customers understand what they can afford earlier, feel confident in their choices, and move from browsing to buying with fewer surprises. This role starts analysis-heavy. Your first priority will be building a deep understanding of how customers engage with financing today: where they start, where they get stuck, and what helps them move forward. From there, you'll build the models, tools, and experiments that shape how customers experience financing at Clutch, from pre-qualification through purchase. This is a rare chance to join early and help define how one of Canada's fastest-growing auto retailers approaches financing. You'll sit on Clutch's data team and work closely with our financial services, product, marketing, and engineering teams, and your work will be visible, measurable, and directly tied to both the cus

About Clutch: Clutch is Canada's largest online used car retailer, delivering a seamless, hassle-free car-buying experience to drivers everywhere. Customers can browse hundreds of cars from the comfort of their home, get the right one delivered to their door, and enjoy peace of mind with our 10-Day Money-Back Guarantee… and that's just the beginning. Named one of Canada's top growing Companies two years in a row and also awarded a spot on LinkedIn's Top Canadian Startups list, we're looking to add curious, hard-working, and driven individuals to our growing team. Headquartered in Toronto, Clutch was founded in 2017. Clutch is backed by a number of world-class investors, including Canaan, BrandProject, Real Ventures, D1 Capital, and Upper90. To learn more, visit clutch.ca. About the Role At Clutch, we believe advances in AI are fundamentally changing how great products are built. Traditional handoffs between product, design, and engineering are giving way to smaller, faster teams where builders can take ideas from concept to production in days instead of months. As a Senior Data Analyst, you'll join our data team and take on some of the most important and complex questions facing the business. That means understanding how we buy and price vehicles, how customers move through our funnel, how we recondition and deliver cars, and how customers finance their purchases. You'll be the person leaders turn to when they need to know what's really happening and what to do about it. This is a role for someone who thrives on ownership. You'll scope ambiguous problems, build the data models and pipelines needed to answer them, and turn your findings into clear recommendations that drive decisions. If you're energized by messy, high-stakes problems and want to bring modern engineering practices (including AI-powered tooling) into your analytics workflow, you'll thrive at Clutch. What you'll do: Own deep-dive analyses on Clutch's highest-priority problems across acquisitions, inven

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Department Technology, Data & Analytics Team Who You Are You’re a data scientist with experience in building and deploying machine learning solutions for complex, and sometimes ambiguous, business problems. You have worked end-to-end on the ML model lifecycle, from early data discovery and analysis to deploying and maintaining models in production. You believe that the best data science work accelerates learning, improves decision making, and ultimately drives measurable impact for customers and the business. Justworks is looking for a Senior Data Scientist to join our ML group within the Data & Analytics team. You'll primarily partner with Product and Engineering to identify and frame domain-specific use-cases as data science problems, prototype and evaluate the appropriate technical solutions, and work with our Machine Learning Engineers to deploy them into production and maintain them. Your Success Profile What You Will Work On Lead end-to-end machine learning and data science projects: Partner with product and engineering leaders to identify and scope new data science use-cases within their domains such as Risk &

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. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee. As an Economist at Deliveroo you will help scale our business and improve the experience for restaurants, riders, and eaters. Using experimental or observational data, you will get to help answer questions like: Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the business impact of exclusive deals we have with restaurants? Can the Delivery food market sustain multiple players? What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? What is the optimum selection and variety of restaurants? What impact do online reviews have? How will a change in the user i

This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the company to measure the trajectory and overall health of the business. You will work closely with partner teams in Analytics, FP&A, Accounting, Cloud Billing, and Sales Operations to not only drive alignment on business performance narratives, but also to drive company wide transparency and data democratization for company key metrics. Data pipelines, visualizations, root cause analyses, and deep dives generated by this team routinely empower MongoDB’s executive team to make data-informed decisions. This is a high visibility role that offers exposure to senior leadership via the team’s support of the office of the CFO. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Deep dive on performance metrics from across the company to surface drivers of business growth to enable data-driven decision making at the executive level Produce insights to answer requests ahead of critical reporting periods, including earnings and investor days Partner with the rest of the team to own the end-to-end delivery of recurring consumption and revenue reports (weekly, monthly, and quarterly) ensuring they're accurate, timely, and trusted by stakeholders Proactively identify and fix data quality issues, broken pipelines, or reporting discrepancies Document metric definitions, report logic, and data lineage Skills & Attributes The ideal candidate excels equally in data wrangling, pipelining, and storytelling, and shares a passion for automation and continuous process improvement 4+ years in an analyst, data, or BI role with meaningful ownership of key business metrics reporting Strong SQL skills; comfortable writing and optimizing queries against large-scale warehouses (Trino, BigQuery, or similar) Working proficiency in Python for data transformation,

Role Description Defense Unicorns is seeking a senior Data Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads. The ideal candidate is a hands-on data engineer who can operate across the full data lifecycle and understands that data availability and integration are often the primary blockers to delivering AI capabilities. They should be comfortable entering an evolving architecture, learning unfamiliar systems quickly, working directly with commercial technology partners, and solving difficult problems involving data quality, lineage, access, performance, and security. This is not a traditional analytics or business intelligence role. The focus is on building the data foundations and repeatable patterns that allow AI and agentic capabilities to access trusted data and move from prototype to production in secure and classified environments. Responsibilities Design, build, and maintain reliable data pipelines that ingest, transform, validate, and deliver data for AI models, agents, and mission applications. Integrate structured and unstructured data sources into enterprise data services, including relational, document, vector, and graph-oriented technologies. Work closely with AI/agent engineers to make data discoverable and usable for RAG, semantic search, model context, and tool-enabled agent workflows. Develop repeatable data ingestion and transformation patterns using Python, SQL, APIs, event-driven architectures, and workflow/orchestration technologies. Establish data quality, validation, provenance, lineage, and metadata practices so downstream users and AI systems can t

About the Role: As a Senior Data Engineer at Tubi, you'll be instrumental in developing and maintaining robust data processing pipelines that underpin our reporting, analytics, and performance insights. You'll operate as an embedded data engineer within a specific data product vertical, shaping the culture, best practices, and overall approach to data engineering within the team. Our diverse product verticals, such as Viewer Growth, Ad Product Sales, and Marketing Analytics, are all highly data-driven. In this role, you will also be responsible for supporting Tubi’s Growth vertical with the creation and curation of CRM and Growth related pipelines, datasets, and scripting in the Databricks environment and leveraging the Braze CRM platform. Additionally tasks related to general pipeline creation, SQL optimization, data-related automation,, and contributing to the strategic direction of data engineering for the Growth organization. Each product team presents unique big data challenges, requiring you to be adaptable, curious, and possess a strong foundation in big data and engineering principles. Your responsibilities will span from constructing efficient pipelines and facilitating data access for data scientists and analysts, to building specialized data products that empower non-engineering teams with deeper insights into their datasets. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week. What You'll Do: Be the primary owner of the data needs of a specific product vertical. That means everything from raw-data ingestion to end-user analysis. Build intuitive, easy-to-use, and high quality datasets using Spark and DBT Track down data quality issues when they arise, and then set appropriate data quality monitors and alerts to help prevent future incidents Participate in the occasional on-call rotation (12-hr day time shifts, ~1-2/month) Understand your product vertical's datase

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 We are looking for a Senior Data Scientist to lead the Meals initiative — one of Instacart's top strategic priorities for 2027. This role is focused on scaling data science work following the MVP launch, with metric tracking and experimentation at the core. You will play a key role in driving engagement, activations, and reactivations for Instacart through a high-visibility, high-impact 0→1 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design. About the Job Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation Drive experimentation strategy — from hypothesis definition to analysis and recomm

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 We are looking for a Senior Data Scientist to lead the Meals initiative — one of Instacart's top strategic priorities for 2027. This role is focused on scaling data science work following the MVP launch, with metric tracking and experimentation at the core. You will play a key role in driving engagement, activations, and reactivations for Instacart through a high-visibility, high-impact 0→1 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design. About the Job Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation Drive experimentation strategy — from hypothesis definition to analysis and recomm

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 Instacart's Ads Optimization team is the decision-making engine of our $1B+ ads business. We own the systems responsible for bidding, pacing, budgeting, targeting, and additional optimization layers that convert advertiser goals into real-time outcomes — all while balancing value across users, advertisers, retail partners, and Instacart. As a Senior Data Scientist on this team, you will drive the analytics, experimentation, and algorithmic strategy that determines how our ad supply and demand meet, and how value and surplus are created and distributed across the platform. In this role, you will operate at the intersection of data science, economics, and production systems, partnering closely with Product, Engineering, and Machine Learning to build and ship solutions that directly impact Instacart's revenue and advertiser outcomes. Your work will touch the

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 Instacart's Ads Optimization team is the decision-making engine of our $1B+ ads business. We own the systems responsible for bidding, pacing, budgeting, targeting, and additional optimization layers that convert advertiser goals into real-time outcomes — all while balancing value across users, advertisers, retail partners, and Instacart. As a Senior Data Scientist on this team, you will drive the analytics, experimentation, and algorithmic strategy that determines how our ad supply and demand meet, and how value and surplus are created and distributed across the platform. In this role, you will operate at the intersection of data science, economics, and production systems, partnering closely with Product, Engineering, and Machine Learning to build and ship solutions that directly impact Instacart's revenue and advertiser outcomes. Your work will touch the

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary As a Senior Data Insights Specialist, you will be responsible for using SQL, MS Excel, Dataiku, Python, and related applications to determine disruption to existing and potential clients when network changes take place to retain and win business. This position involves making high-level decisions, managing multiple requests/priorities, developing new solutions to simplify the reporting process, and producing both standard and custom reports for multiple lines of business and specific clients regarding retail pharmacy network accessibility. Required Qualifications Experience in SQL, Microsoft Excel, and other relevant applications. Experience with data cleaning, transformation, and/or ETL. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Preferred Qualifications 2&#43; years' of professional analytical experience. Proficiency in Dataiku, Alteryx, or other related ETL applications. Experience with Python. Experience with Salesforce. Working experience in the Pharmacy Benefits Management (PBM) or related healthcare industry. Excellent verbal and written communication skills to effectively interact with internal teams and external clients. Ability to manage multiple requests and priorities in a fast-paced environment.</li