• Drive AI for Analytics data science work • Identify promising opportunity areas and contribute data expertise for new product ideas • Use and deploy a variety of AI systems in production • Improve product features by adding intelligent functionality that relies on data science methods including statistical and machine learning methods • Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc) • Create the product roadmap • Ruthlessly prioritize among requests from multiple competing stakeholders • Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals

• You would be responsible for driving AI for Analytics data science work which includes: • Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas. • AI expertise: You will be using and deploying a variety of AI systems in production settings. • Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods. • Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc). • Create the product roadmap. • Ruthlessly prioritize among requests from multiple competing stakeholders. • Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals.

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 will increase the number of features launched by 2x by the end of 2026 by effectively using AI. A primary driver of knowing which features to launch includes analytical work traditionally performed by data scientists in collaboration with a product team. We are developing systems to accelerate analyses completed by data experts and enable anyone to self-serve most analytics questions. ABOUT THE JOB You would be responsible for driving AI for Analytics data science work which includes: - Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas. - AI expertise: You will be using and deploying a variety of AI systems in production settings. - Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods The role requires strong XFN collaboration where an ideal candidate can: - Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc). - Create the product roadmap - Ruthlessly prioritize among requests from multiple competing stakeholders - Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals ABOUT YOU Minimum Qualifications - 6+ years of work experience in a data science or related field - Have deeply engaged with AI workflows - Expert in Python (pandas), SQL, git, and Jupyter notebooks - Strong statistical and analytical skills - Built a machine learning, statistical, or AI model that made its way into production even if the code you wrote was completely rewritten before being deployed Preferred Qualifications - 8+ years of work experience in a data science or related field - Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team - Significant causal experimentation experience - Built a complex machine learning or statistical model and deployed/supported it in production - Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks #LI-remote Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the base pay ranges for a successful candidate are listed below. CA, NY, CT, NJ $218,000—$230,000 USD WA $209,000—$220,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $200,000—$211,000 USD All other states $182,000—$192,000 USD

Role Description This is a commercially significant hire. You will be the Data Science business partner for Spain and the Ibero-America region, working directly with clients to shape and deliver high-impact solutions in fraud, credit risk, and collections. You will also contribute to EMEA engagements where your expertise is the right fit. This is not a back-room modelling role. You will be in front of clients, understanding their business challenges, designing solutions that create measurable value, and communicating that value clearly to senior stakeholders. You will also support the commercial pipeline, partnering with Sales and Solutions Consulting to shape opportunities and win new business. Reporting to the Head of Data Science within GAI, you will have the backing of a strong global practice and the platform to build a reputation in one of our most strategically important regions. This is a remote role, but you must be based in Madrid, Spain. Occasional travel may be required for regional team meet-ups and client meetings. Your Responsibilities 🚀 - Client Delivery & Consultancy: - Engage directly with clients, including at senior and C-suite level, to diagnose business challenges and design data science solutions with clear, quantified business value. - Lead delivery of fraud, credit risk, and collections analytics projects from scoping through implementation, on time and within scope. - Communicate technical solutions and outcomes to non-technical audiences, including senior client stakeholders and executive sponsors. - Commercial Support: - Partner with Sales and Solutions Consulting during the commercial cycle, shaping proposals, contributing to statements of work, and providing technical credibility in client conversations. - Help identify and qualify data science opportunities across the region, including proactively surfacing expansion opportunities within existing accounts. - Technical Execution: - Identify, source, and prepare data to enable the development, calibration, and deployment of state-of-the-art AI/ML models across the credit lifecycle. - Stay current on emerging data science trends and techniques; propose high-leverage innovations that strengthen Provenir's competitive position. - Contribute to analytical strategy and product development with expert input grounded in real client experience. - Team Leadership & Standards: - Mentor and coach Data Scientists within the region, raising standards of technical delivery and client consultancy. - Operate effectively in ambiguity, pivoting fluidly between hands-on problem solving and high-level roadmapping as business needs demand. Qualifications - 7+ years in a data science role, with hands-on expertise in supervised and unsupervised ML methods. - Domain expertise in at least one of: fraud detection, credit risk management, or collections analytics. - Demonstrated B2B client-facing experience, confident engaging senior stakeholders on ML products and their business value. - Strong commercial instinct: ability to frame, estimate, and communicate ROI on data science initiatives. - Strong data wrangling skills: merging, cleansing, sampling, and preparing complex datasets. - Exceptional communication skills and the ability to build trust across technical and non-technical audiences. - Fluent in Spanish and English. Requirements - Although not essential, it would be great if you also have any of these strengths: - Experience drafting project proposals and statements of work. - Demonstrated track record of leading data science projects and raising standards of those around you. - MLOps best practices: CI/CD, pipeline orchestration, model monitoring. - Industry experience in auto finance or telco financial services. - Portuguese language skills (Brazilian or European). Interview Process 💬 - Recruiter Screen - understanding your background, motivations, and any questions you have about the role. - Technical Challenge - a take-home task representative of the problems you will work on. - Technical Interview - deep-dive with Data Science colleagues. - Commercial Interview - business and behavioral conversation with senior GAI leadership. Benefits - Comprehensive health and wellness plans. - Paid time off and company holidays. - Flexible and remote-friendly opportunities. - Maternity/paternity leave. Company Description Provenir is a global fintech company with offices across North America, the UK, and Singapore backed by talented teams across APAC, EMEA, and LATAM. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders.