We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity - inside and outside our organization.WHAT YOU'LL DOOur Forward-Deployed Data Scientist team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of the world's leading brands. Design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying risks to set each engagement up for successBuild and own the full ML pipeline — taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end usersDrive customer success by providing ongoing technical guidance that ensures data science performance, successful adoption and measurable outcomesExtend product capabilities by developing features and tools that support the broader AI deployment team and scale what's possible across engagementsPartner with the Braze Product team to refine and advance Braze's reinforcement learning algorithms, pushing the self-learning capabilities of the platform forwardShape BrazeAI product strategy and roadmap by bringing customer-facing insights and deep technical expertise to the tableTake a closer look at what a day in the life of a Data Scientist, AI Ongoing Delivery at Braze looks like here.Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferredExperience: 3-5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deploymentEngineering best practices: follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithmsCustomer collaborator: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutionsContinuous learner: From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:Competitive compensation that may include equityRetirement and Employee Stock Purchase PlansFlexible paid time offComprehensive benefit plans covering medical, dental, vision, life, and disabilityFamily services that include fertility benefits and equal paid parental leaveProfessional development supported by formal career pathing, learning platforms, and a yearly learning stipendA curated in-office employee experience, designed to foster community, team connections, and innovationOpportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within BrazeCollaborative, transparent, and fun culture recognized as a Great Place to WorkABOUT BRAZEBraze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. The company has repeatedly been recognized as a Leader in marketing technology by industry analysts, and was voted a G2 “Best of Marketing and Digital Advertising Software Product” in 2025.News & World Report, a 2025 America’s Greatest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology by Great Place To Work, among other accolades. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.BRAZE IS AN EQUAL OPPORTUNITY EMPLOYERAt Braze, we strive to create equitable growth and opportunities inside and outside the organization.Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience - regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. If this sounds familiar, we encourage you to apply, as we’d love to meet youOUR AI-POWERED BRAZE RECRUITMENT PROCESSAt Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Depending on where you are located, you may have certain rights available to you in relation to Braze’s use of AI:To opt out of AI-assisted review of your application, please click the “Learn More” at the end of the application form below and follow the instructions before submitting your application. To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a manual review of any decision made or to contest a decision, please contact us at talentdata.Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. To opt out of AI-assisted review of your application, please click the “Learn More” button below and follow the instructions before submitting your application. Please submit any other request to our Talent Acquisition team at talentdata.Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.
Data Scientist Ml Ai Python in London employer: Braze
At Braze, we pride ourselves on being an inclusive employer that fosters a collaborative and vibrant work culture. Our commitment to employee growth is evident through comprehensive professional development opportunities, flexible work arrangements, and a strong emphasis on work-life harmony. With a focus on equity and community engagement, Braze not only empowers its employees to thrive but also encourages them to make a meaningful impact both within the company and in the wider world.
