Data Instructor Jobs

Senior Data Architect Design the blueprint. Architect the future. Empower data transformation. The Role Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our financial services clients. In this senior consulting role, you’ll guide clients through their data transformation journeys, defining strategy, designing architecture, and building scalable, cloud-based platforms. You’ll also contribute to shaping Capco’s modern data architecture offerings. What You’ll Do Lead agile consulting projects focused on modern data architecture and cloud transformation Define and implement scalable enterprise data strategies across programmes and business units Design and deliver data platforms using cloud-native technologies on AWS, Azure, or GCP Drive integration of data governance, cataloguing, privacy, and metadata capabilities Act as a subject matter expert to clients, presenting technical concepts in a business context What We’re Looking For Proven experience in data architecture, cloud data engineering, and enterprise platform design Deep knowledge of modelling practices including contextual, logical, and physical data modelling Hands-on experience with cloud-based data ecosystems (AWS, Azure, GCP) and modern data stacks Understanding of cloud data migration, data management tools, and security frameworks Strong communication skills to engage stakeholders across technical and non-technical teams Bonus Points For Data or cloud architecture certifications (e.g., AWS, Azure, GCP, Databricks) Experience in data lake design and large-scale data migrations Familiarity with graph computing and semantic data modelling Background in Financial Services with stakeholder management in complex environments Ability to lead teams and contribute to the development of Capco’s data architecture propositions Why Join Capco Deliver high-impact technology solutions for Tier 1 financial institutions Work in a collaborative, flat, and entreprene

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Senior Data Scientist - Network Value (Credit) The Network Value Data Science team is helping Plaid build an industry-leading fintech consumer network with best-in-class products and user experiences. We are a product analytics team embedded in key product areas across Plaid. We support some of Plaid’s most important OKRs and help execute on product roadmaps. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go. You’ll be a Data Scientist supporting Credit, a critical product area within Plaid’s Network Value portfolio. You’ll become a data and analytical thought partner to product managers, engineers, and cross-functional stakeholders, helping shape Credit product strategy, improve product performance and user experience, and grow Plaid’s consumer network. You’ll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs and KPIs tied to business goals and user experiences, a

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. The Data Solutions Go-To-Market (GTM) Director is a key role driving growth and strategic partnerships within our sales organization. This position requires a dynamic leader who can orchestrate cross-functional collaboration with channel partners, particularly focusing on the cloud data & AI platforms and emerging AI technologies. Additionally, they will come with strong functional knowledge in Corporate Finance, Supply Chain, or Operations (or similar areas). The ideal candidate will be responsible for identifying and executing strategies to increase bookings and maximize cross-selling opportunities, while deepening client relationships. The ideal candidate will possess a unique blend of strategic thinking, sales acumen, and functional/technical knowledge, enabling them to capitalize on market trends and position our solutions for optimal growth in this rapidly evolving landscape. Ideal candidates will be able to: Establish new client relationships by leveraging Spaulding Ridge’s strategic relationships, demand generation tools and ongoing marketing automation within key market segments Generate pipeline in addition to obtaining leads through marketing efforts and alliances Run all aspects of the sales lifecycle for new and existing clients including prospecting, in-person and virtual meetings, marketing events, contract negotiations, closings, specific ongoing a

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features. The Airports team, within the Driver organization, focuses on the airport marketplace and the unique products designed for this use case. Airports are one of the most important, impactful, and complex parts of Lyft’s Rideshare business, as they are a key part of both the rider and driver Lyft experience and have unique dynamics. As a Data Scientist on the Airport team, you will collaborate with our team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product changes, develop end-to-end technical solutions, and is comfortable working with a highly cross functional team. In this role, you will help us tackle problems such as: What rider segments are present at airports and how can we address their major pain points to grow our airport marketshare? What new airport product features can we introduce to grow rider demand? Are we able to forecast rider demand and use this prediction to adjust ride offerings or improve the rider experience? How can we optimize ride offerings for each rider to maximize conversion? Responsibilities Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Desi

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Engineering Manager: Regulatory Reporting Data The Regulatory Reporting group is a foundational pillar of Adyen's licensed financial operations. It enables Adyen to meet its obligations to regulators, central banks, and supervisory authorities across the globe through accurate, auditable, and timely reporting. The group delivers the data pipelines, models, controls, and reporting products that demonstrate compliance with regimes such as tax, prudential and statistical reporting. It is a key driver of Adyen's license to operate and of the trust placed in us by regulators, merchants, and partners alike. As an Engineering Manager in the Regulatory Reporting group, you will lead a cross-functional team of talented and motivated individuals to deliver reporting products that are accurate, reliable, timely, scalable, and auditable. You will work closely with Compliance, Legal, Finance, and product development teams to translate evolving regulatory requirements into robust engineering solutions, and to set a new standard for how regulatory reporting is built and operated across the company. What you’ll do Impact-Driven Leadership: Drive the team autonomously toward success by focusing on measurable business and organizational outcomes that reduce operational friction and manual effort in the reporting cycle. Strategic Stakeholder Managemen

Data Scientist Lead Location: Hong Kong (Hybrid) | Practice Area : Data & Analytics | Type: Permanent The Role As a Data Scientist Lead at Capco, you’ll help clients optimise fraud models, machine learning platforms and supporting Google Cloud infrastructure, turning detailed analysis into practical, implementation-ready recommendations. You’ll take a hands-on approach to improving model and platform performance, reliability and run-cost across GCP infrastructure and ML pipelines. Working closely with IT infrastructure teams, data scientists and fraud stakeholders, you’ll identify opportunities to reduce compute and inference costs while maintaining effective, resilient solutions. You’ll provide configuration-level and code-level guidance, supported by clear estimates of implementation effort, expected savings and measurable outcomes. You’ll also use approved AI tools and AI-enabled workflows where appropriate to accelerate analysis, improve insight and support delivery, while maintaining human judgement, appropriate review and responsible AI guardrails. What You’ll Do GCP engineering: Lead hands-on design, diagnostics and optimisation across compute, storage and network services, implementing monitoring and observability to improve cost, performance and reliability. Fraud ML modelling: Support the development, validation and deployment of fraud and ML models end-to-end, identifying measurable opportunities to reduce compute requirements, accelerate inference and improve automation. ML and data pipelines: Optimise pipelines spanning ingest, transformation, feature creation and serving, training and inference, with a focus on cost efficiency, performance, resilience and responsible AI-enabled automation where appropriate. Big data and distributed processing: Develop and tune large-scale batch and streaming workloads using Spark or similar technologies, improving efficiency, stability and production readiness. Engineering excellence: Apply strong Python and SQL sk

Internship Summary Are you looking for an internship that provides real life experience? Phoenix Contact's Corporate Management Team is seeking a highly analytical and business-oriented Data Science & Analytics Intern to support strategic initiatives across Product Management, Operations, Sales, and Marketing. This role is ideal for students who enjoy combining technical data skills with business problem solving to identify trends, uncover opportunities, and recommend actions. Our Fall (Sept – Dec) interns work full time with the opportunity to continue through Spring. We strongly prefer candidates who can work onsite regularly to accelerate learning, collaboration, and business understanding. What does a typical day look like? Onsite Day Meet with Product Management, Operations, Manufacturing, Sales, or AEP teams to understand business challenges and decision-making needs. Analyze customer, product, pricing, operations, supply chain, and financial data to identify trends, root causes, and improvement opportunities. Translate ambiguous business questions into structured analytical approaches. Work directly with leadership and subject matter experts to understand product portfolios, operational processes, and customer dynamics. Build dashboards, predictive models, business cases, and executive-level recommendations. Present findings, risks, and recommended actions to stakeholders. Remote day: Deep analytical work including: Data mining and exploration Statistical analysis Predictive modeling Data cleansing and transformation AI-assisted analytics and automation Develop Power BI dashboards and self-service reporting tools. Prepare executive-ready presentations and recommendations. Document assumptions, methodologies, and business insights What makes this internship unique? Phoenix Contact is a global technology leader where interns work on real business challenges that impact customers, products, and operations. Unlike many internships focused solely on reporting,

Job title: Data Validation Role Purpose (overall high level summary of the role) Finance has mobilised the first phase of a five year programme to transform the Finance operating model by leveraging cloud technology. Finance Cloud Transformation will rationalise operational processes, automate data and report production, to deliver comprehensive data to our internal and external stakeholders for analysis and reporting. The programme will entail migration of core Finance data and processes to the cloud, with an initial phase to implement a standard global operating process for Finance actuals report production, followed closely by forecast data and report production. The vision for the Finance on the Cloud Programme is “to deliver standardised global processes that leverage a single dataset for reporting, analysis and forecasting.” Key programme outcomes are to deliver a singular automated data production processing capability for actuals and forecasting, correction of data once for all downstream calculations, reports and outputs, introducing automated preventative and detective controls, significantly reduce manual activity in the run-time actuals process to allow the production of all actuals outputs by working day 5 for a monthly process The Data Analyst will be expected to support the delivery of data related activities within the FotC programme. Various aspects may include data validation, solution functionality validation, data gap analysis, reconciliation, user tooling or automation testing activities. • The role holder will be responsible to functionally understand and test our liquidity core release requirements • He/ She is required to perform a detailed data validation to ensure the data reflects accurately across all liquidity returns for all applicable regulations - PRA/EBA/HKMA/US FED etc. • He/She needs to furnish UAT dashboards and walkthrough the Reporting Ops of the changes introduced by liquidity core release requirements • He/She is

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Data Science Manager at Micron Fab15, you will be responsible for the vision, development, and management of a high performing and technical analytics team. Optimize team performance by collaborating with internal and external stakeholders to provide data-driven solutions to complex strategic and tactical challenges. This is a highly collaborative role with operations, engineering, management, information technology, etc. Combine problem-solving, data-analysis, and technical skills to identify, quantify, and solve business problems. You will lead and participate in a team that is constantly challenging the boundaries of what is possible. You will develop and improve individual capability of current and future Micron data scientists. Establish and monitor team performance metrics to identify and implement continual improvement opportunities. You will lead your team to generate algorithms, create computer models, and test and validate models that are scalable for production. Your team will discover and present business relevant “stories” to business stakeholders using data visualization methods. You will develop expert-level knowledge of Micron and use this knowledge to deliver prescriptive, actionable solutions to stakeholders. Be responsible for conveying corporate business initiatives, providing direction thereof, and driving a clear understanding of line of sight to department and corporate strategic objectives within your team. Lead research in and keep up to date on the latest devel

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description We are looking for a Data Scientist / Full-stack Application Engineer who aspires to learn, enjoys working with others, loves to innovate, and can apply the right technologies to solve a wide range of software and data problems. To be a successful candidate, you must demonstrate a passion for learning new technologies, frameworks, development tools, and business domains. You must possess strong communication and problem-solving skills, which you will use to work with customers and peers to analyze needs, fix problems, and collaboratively drive new application functionality and value. This role will use modern frameworks and technologies to create and maintain a wide variety of data analytics, data visualization, and reporting solutions that enable Micron’s engineering teams to deliver products that power our customers’ innovation. We are also looking for someone who can think beyond coding, understand operational impact, improve system maintainability, and continuously enhance both user experience and developer experience. Candidates with a DevOps mindset, testability mindset, and experience using AI-assisted development tools are highly preferred. Qualifications Qualified candidates will have good communication skills, problem-solving skills, passion for learning, and the ability to work in a team environment. Candidates should also be organized, motivated by challenges, enjoy technology, and willing to share their ideas. Ideal candidates will also

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer II Aliso Viejo, CA The Data Engineering Team fuels real-time, intelligent data insights for PlayStation’s Cloud Streaming offering. In this role, you’ll collaborate closely with teams across PlayStation to deliver a scalable and reliable data platform that drives a data-first culture and outlook. As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for PlayStation. Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs, and APIs to provide real time data and insights across the Cloud Streaming ecosystem to ensure seamless data flow throughout our data pipeline. You will also work closely with our Business Intelligence team to translate product requirements to usable insights that fuel our business decisions. You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies, and state-of-the art technology to empower data-driven decisions to the company. You are self-motivated and thrive in a distributed team environment - comfortable taking initiative, handli

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role, Mission or Department Overview We are looking for analytical talent to turn experience with data and support of world-class journalism into decision-making insights. As part of the Data and Insights Group (DIG) and Data Platforms, you will join a large community of accomplished data professionals who partner with Product, Engineering, and Design teams across the business. You will focus on supporting our enterprise partners and report to our Executive Director, Analytics Engineering. Responsibilities: You will independently lead work streams in a high leverage, high visibility role building the next generation of data foundations for our core enterprise reporting datasets that executives depend on daily You will be our subject matter expert on our subscription data, translating our needs into technical implementations and mentoring teammates on the domain You will design reusable business logic and data pipelines allowing other analysts and partners to answer questions quickly. You will develop data models, data contracts, alerting, context, and metrics/semantic layers supporting both traditional and AI-assisted analytical use cases. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 5+ years of experience in analytics engineering, data engineering, product analytics or similar data

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Data Engineer At Snowflake, we are building the future of the data-driven enterprise. We are looking for a Senior Data Engineer who brings deep technical craft, strong ownership instincts, and the ability to operate across the full data lifecycle — from raw ingestion to production-ready data products. This is not a role for someone who executes tickets. You will design and build the data infrastructure that powers internal decision-making and external product capabilities, working at the intersection of data engineering, platform thinking, and stakeholder alignment. You will own complex technical decisions, set the bar for data quality and governance, and contribute to a data platform that scales with the business. The person we are looking for combines engineering rigour with pragmatic judgement — someone who can solve for today while building for the future, and who raises the standard of the teams they work within. AS A SENIOR DATA ENGINEER AT SNOWFLAKE, YOU WILL: Design, build, and launch production-ready data models and pipelines that scale effectively across the enterprise data lifecycle — from ingestion through transformation, modelling, and consumption Own complex system design decisions end-to-end, evaluating tradeoffs and documenting architectural choices c

We are looking for an experienced Senior Manager - Data Loss Prevention (DLP) - to join us! As a Senior Manager, you will work as a part of our Cyber Security team, and you will collaborate with other IT professionals to ensure that sensitive data is protected from unauthorized access misuse, and breaches. Your role will also cover Data Security Posture Management (DSPM), disk encryption controls, discovery and classification technologies, and Database Activity Monitoring (DAM) solutions. Source: Adani Group | Job ID: 57062

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure team is seeking a Data Center Energy Lead, based anywhere in the EU, to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint across the region. This is a multi-country role: from a single EU base, you'll cover several EU jurisdictions. You'll work at the intersection of energy markets, physical power, project development and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with TSOs, DSOs, and regulators across multiple European jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating the complex dynamics of the EU internal electricity market, national wholesale and capacity markets, and Europe's evolving energy regulatory environment to achieve the speed and scale required for frontier AI development. Responsibilities: Develop creative and novel means of energy deployment - grid connected, behind-the-meter/fence, etc. that drives fastest timelines to energization, while maintaining social license Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure across EU wholesale electricity markets and national capacity mechanisms, structuring utility partnerships and commercial agreements that prioritise speed-to-energisation and scale Own utility and regulatory stakeholder management across multiple European jurisdictions, building strategic relationships with TSOs, DSOs, national regulators, and ACER to accelerate connection timelines and unlock constrained capacity Drive