Gousto

Company Name: Gousto
Job Title: Staff Software Engineer
Job Description: **Job Title** Staff Software Engineer **Role Summary** Lead the technical direction of a high‑impact engineering team, driving architectural decisions and modernising key customer‑facing systems. Mentor engineers in agile/XP practices, champion technical excellence, and align engineering initiatives with business goals to deliver scalable, secure, and high‑performance solutions. **Expectations** - Deliver robust, API‑driven, event‑based architectures on cloud platforms using relational and NoSQL databases. - Modernise the sign‑up flow for a seamless multi‑market experience and enable CMS‑driven, SEO‑optimised landing pages. - Promote technical excellence, coding standards, and efficient developer workflows. - Mentor senior engineers, embed TDD, pair programming, and continuous improvement practices. - Collaborate across product, design, data, and platform teams to solve complex business challenges. - Advocate for DORA metrics, DevOps culture, and shared ownership to improve delivery velocity and quality. **Key Responsibilities** - Coach and mentor engineering teams in XP, TDD, pair programming, and Agile practices. - Design and implement scalable, API‑based and event‑driven architectures using cloud services. - Lead technical decision‑making for large‑scale initiatives, ensuring alignment with non‑functional requirements. - Guide and de‑risk delivery of major technical changes, driving improvements in scalability, reliability, and maintainability. - Collaborate cross‑functionally with product, design, and data teams to deliver business impact. - Shape engineering culture by advocating for best practices, DORA metrics, and continuous improvement. - Mentor senior engineers, uplifting technical standards and fostering a high‑performance mindset. **Required Skills** - Architectural design and implementation of scalable, secure, API‑centric, event‑driven systems. - Cloud platform proficiency (AWS, Azure, or GCP) and experience with relational & NoSQL databases. - Strong command of XP practices: TDD, pair programming, Agile. - DevOps mindset; ability to improve developer experience through tooling and process enhancements. - Experience with DORA metrics and continuous delivery pipelines. - Excellent communication, mentoring, and cross‑functional collaboration skills. - Proven track record delivering high‑impact, large‑scale technical solutions. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent industry experience). - Technical certifications are a plus (e.g., AWS Certified Solutions Architect, Azure Solutions Architect, or equivalent).

London, United kingdom

Hybrid

22-12-2025

Company Name: Gousto
Job Title: Simulation Scientist
Job Description: **Job Title** Simulation Scientist **Role Summary** Develop, enhance, and deploy simulation models for fulfillment centre operations. Lead product ownership, improve experimental frameworks, and collaborate with cross‑functional teams to drive cost savings, process improvements, and data‑driven decision making. **Expectations** - Autonomous working within a small, dynamic team. - Deliver production‑ready Python code and deploy with minimal engineering support. - Communicate complex simulation concepts to non‑technical stakeholders. - Advance simulation capabilities across the fulfillment domain. **Key Responsibilities** - Iteratively refine existing fulfillment centre simulation models to meet evolving business propositions and improve KPIs. - Own portions of the simulation product portfolio and drive roadmap alignment. - Enhance the experimental framework and simulation tooling. - Identify and validate broader simulation opportunities in fulfillment, collaborating with senior leaders. - Reduce BAU overhead for existing products via optimisation and automation. - Partner with engineering and data teams to deploy performant, cost‑efficient simulation solutions. - Support stakeholders in decision making by interpreting simulation outputs. - Contribute to knowledge sharing and best‑practice promotion within the data community. - Participate in OKR planning by proposing improvements and conducting feasibility assessments. **Required Skills** - Deep knowledge of simulation technology for real‑world problems. - Proficient in Python; working knowledge of Java, SQL, and PySpark. - Experience writing production‑ready code and deploying with limited engineering support. - Understanding of operational processes (supply chain, logistics, fulfillment). - Familiarity with optimisation techniques and their integration with simulation engines. - Ability to work independently in a cross‑functional environment. - Strong communication skills; able to simplify complex ideas for non‑technical audiences. **Required Education & Certifications** - MSc or PhD in applied mathematics, natural sciences, computer science, or engineering preferred. - Alternatively, a BSc in one of the above disciplines with significant commercial simulation experience. - Any certifications related to simulation (e.g., AnyLogic) or optimisation are a plus.

London, United kingdom

Hybrid

26-01-2026

Company Name: Gousto
Job Title: Data Scientist
Job Description: **Job Title** Data Scientist – Customer Behavior & Modeling **Role Summary** Embedded in the Activate tribe, this role develops and deploys machine learning and reinforcement learning models that drive customer acquisition, retention, and personalization across the customer journey. The data scientist owns the end‑to‑end process from ideation to production, working closely with product, engineering, and analytics teams to deliver data‑driven insights and solutions. **Expectations** - Own the full model lifecycle: ideation, data prep, model building, evaluation, deployment, monitoring, and iteration. - Deliver measurable business impact through quantified experiments and continuous performance measurement. - Communicate complex technical concepts to non‑technical stakeholders and influence product strategy. - Collaborate with cross‑functional squads and prioritize model development aligned with business goals. **Key Responsibilities** - Design, develop, test, and deploy machine learning and reinforcement learning models for customer behavior analysis (personalization, churn, campaign optimization, lifetime value, price optimization, etc.). - Collaborate with business users, product managers, and analysts to translate business needs into model requirements and evaluate model performance. - Report on model status, impact, and blockers to stakeholders and the wider team. - Prioritize and scope upcoming model projects in partnership with the Activate tribe leadership. - Educate senior stakeholders and the broader team on data science principles, model value, and best practices. - Maintain and automate data pipelines, model retraining, and monitoring workflows. **Required Skills** - Proven experience building machine learning models in customer acquisition or retention domains. - Strong Python programming skills with experience in libraries such as pandas, scikit‑learn, TensorFlow/PyTorch. - Familiarity with Databricks or similar data‑science platforms. - Ability to design and run controlled experiments, measure ROI, and optimize model performance. - Excellent verbal and written communication; able to simplify technical concepts for non‑technical audiences. - Commercial awareness and an iterative, data‑driven approach to product development. - Comfortable working in fast‑paced, high‑growth technology environments. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field (Master’s preferred). - Valid certifications in data science or machine learning (e.g., Databricks Certified Data Scientist, Microsoft Certified: Azure Data Scientist Associate) are a plus.

London, United kingdom

Hybrid

26-01-2026

Company Name: Gousto
Job Title: Data Science Manager
Job Description: **Data Science Manager** **Role Summary** Lead and grow high-impact data science teams across Activate (acquisition/retention) and Choice (menu) tribes. Drive strategic initiatives to enhance customer outcomes through data-driven solutions, mentor cross-functional teams, and align data science with business objectives. **Expectations** - Set performance and development goals for data science teams. - Collaborate with leaders to define quarterly strategies and prioritize cross-functional projects. - Oversee delivery of high-impact data science products at scale. **Key Responsibilities** - Lead data science delivery for Activate tribe, expanding solutions in acquisition, retention, and menu optimization. - Mentor and coach data scientists, fostering career growth and technical excellence. - Partner with product, engineering, and analytics teams to integrate data science into decision-making. - Champion data science initiatives in senior leadership forums and operating boards. - Strengthen team capabilities in tooling, data infrastructure, collaboration, and stakeholder engagement. - Lead hiring, onboarding, and team-building efforts to scale capacity. **Required Skills** - Expertise in machine learning, deep learning, and reinforcement learning (production application focus). - Domain knowledge in customer acquisition, retention, and menu optimization. - Proficiency in GenAI and agentic AI concepts for productivity and customer experience. - Strategic roadmap planning for data science products and capacity management. - Proven track record in cross-functional leadership and stakeholder influence. - Experience leading high-performing teams in agile, fast-paced environments. **Required Education & Certifications** - Advanced degree in computer science, statistics, or related field (Master’s/PhD). - Not required for this role.

London, United kingdom

Hybrid

27-01-2026

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