37 open jobs on The Stack list Data science as a key skill. They come from 20 companies in 5 countries, and 37 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Data science in its key skills. We do not guess skills from the job title.
What you'll do: Build, validate and monitor credit scorecards and decisioning rules using bureau, Open Banking and internal data. Design and test credit strategies, pricing tiers and limits, balancing risk, volume and margin; work with engineers to deploy…
What they ask for: 2-5 years in decision science or data science within consumer lending or regulated financial services; experience developing credit scorecards or risk models (logistic regression or gradient boosting); strong SQL skills; understanding of…
What you'll do: Design, build, and deploy machine learning models to detect fraud and assess risk in financial services. Transform ambiguous business problems into measurable ML solutions and partner with Product, Engineering, and Operations to…
What they ask for: Minimum 5+ years of experience in Data Science, ML, Software Engineering, or related fields. Strong Python skills and experience with large-scale datasets, plus a track record of developing and deploying ML models in production. Ability to…
What you'll do: You will develop and lead AI, machine learning, and advanced analytics solutions while collaborating with cross-functional teams to deliver customer value. Additionally, you will mentor junior team members and work closely with functional…
What they ask for: Candidates must have strong Python scripting skills, experience with version control systems like Github, and the ability to develop maintainable code. A valid UK Security Clearance is mandatory for this position.
What you'll do: Own the UK SanTalk product vision, roadmap, delivery, rollout, and ongoing improvement for customer-facing AI across contact centres, chat, and digitally assisted channels. Lead multidisciplinary teams and collaborate with UK and Group…
What they ask for: Requires 6–8 years of experience in data science, applied AI, or advanced analytics, including leading complex AI solutions from concept to production, and an undergraduate degree in a relevant field or equivalent experience. Candidates…
What you'll do: Build and ship practical machine learning and data science solutions in an early-stage startup environment. Utilize agentic AI coding tools to maintain a high pace of execution while working with ambiguous data.
What they ask for: Requires five or more years of relevant technical experience with a strong quantitative foundation. Candidates must have experience in a zero-to-one startup environment and proficiency with AI coding tools.
What you'll do: You will work with subject matter experts to clean, analyze, and model datasets to provide practical solutions for clients. Additionally, you will contribute to prototypes and communicate findings through charts and presentations.
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with strong communication skills.
What you'll do: You will work with subject matter experts to clean, explore, and analyze datasets while building statistical or machine learning models. Additionally, you will contribute to prototypes and communicate findings through charts and…
What they ask for: Candidates should have hands-on experience in data science through projects or internships and proficiency in Python. A relevant degree in a quantitative or social science field is required, along with a strong grounding in statistics and…
What you'll do: You will take full responsibility for the end-to-end lifecycle of data science services, from conceptualization to production. Additionally, you will work on projects such as pricing prediction and elasticity models while mentoring…
What they ask for: You possess a long track record of implementing large-scale ML services and have extensive knowledge of classic machine learning algorithms. You are also experienced with modern infrastructure tools like Kafka, Kubernetes, and GCP, and are…
What you'll do: You will manage the end-to-end lifecycle of data science services, from conceptualization to production, while ensuring high performance and reliability. You will also collaborate with cross-functional teams to develop innovative ML and…
What they ask for: You must have extensive experience with the data science toolbox, including Python, SQL, and cloud infrastructure like GCP, Kubernetes, and Kafka. Additionally, you should possess specific expertise in either ML classifiers, NLP, AdTech…
What you'll do: Develop and deploy machine learning and data science solutions to address operational challenges in retail supply chains. Build complex forecasting and optimization models while utilizing agentic AI coding tools in a fast-paced startup…
What they ask for: Requires 5 to 10+ years of technical experience with a strong quantitative background and a rigorous degree. Candidates must be comfortable working in a zero-to-one startup environment and possess production-focused technical skills.
What you'll do: You will define the product vision and strategy for search, ranking, and personalisation to improve buyer discovery and conversion. You will lead cross-functional teams to execute experiments and scale machine learning-driven solutions…
What they ask for: The role requires at least five years of product management experience, preferably in consumer ecommerce or marketplaces. Candidates must have a strong background in search, ranking, or machine learning products and the ability to…
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python and data processing technologies. Candidates should have experience with large datasets and the ability to collaborate effectively with…
What you'll do: Lead the development and deployment of machine learning models to improve product performance and risk management. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions.
What they ask for: Requires a proven track record of deploying models from scratch and solid knowledge of Python. Candidates should have experience with large datasets and the ability to collaborate effectively with engineering and risk teams.
What you'll do: You will collaborate with subject matter experts to clean and analyze datasets, build statistical or machine learning models, and develop prototypes. Additionally, you will communicate findings through charts and presentations to support…
What they ask for: Candidates should have hands-on experience in data science through projects or employment, including proficiency in Python and a grounding in statistics and machine learning. A relevant degree in a quantitative or social science field is…
What you'll do: The Senior Data Scientist will act as the UK Product Owner for SanTalk, setting the product vision, strategy, and roadmap for AI solutions across contact centers and digital channels. They will lead multidisciplinary teams to deliver, roll…
What they ask for: Candidates must have 6-8 years of experience in data science or applied AI, with a proven track record of leading complex AI solutions from concept to production. An undergraduate degree in a relevant field such as Computer Science, Data…
What you'll do: Develop practical data science and AI solutions using quantitative and engineering skills. Take ownership of technical workflows in a fast-paced, early-stage startup environment.
What they ask for: Requires five or more years of technical experience with a strong mathematical or engineering background. Candidates must be comfortable working in a high-intensity, ambiguous startup setting.
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and collaborate with security engineers to translate new attack…
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will own the machine-learning models in production that detect AI-enabled threats and analyze their performance for customers. You will also design low-latency models and build evaluations to turn new attack patterns into training data.
What they ask for: Candidates must have 5+ years of experience in applied machine learning or data science with models shipped to production. Strong proficiency in Python, PyTorch, and hands-on experience with NLP and LLM techniques is required.
What you'll do: You will develop and optimize AI-based financial crime detection systems using supervised and unsupervised learning to mitigate global money laundering risks. Additionally, you will collaborate with cross-functional teams to deploy…
What they ask for: The role requires strong Python programming skills and proven experience in implementing, training, and evaluating machine learning systems. Candidates should possess a strong product mindset, excellent problem-solving abilities, and the…
What you'll do: Provide technical leadership for data science within the Claims department, focusing on fraud detection and risk decisioning. Design and deploy production-grade machine learning and Generative AI systems to automate and improve the claims…
What they ask for: Requires significant commercial experience in end-to-end machine learning and hands-on experience shipping Generative AI systems in production. Candidates must possess a strong statistical foundation and the ability to influence technical…
What you'll do: Provide technical leadership for data science in claims and fraud, focusing on scaling decisioning and automating the claims journey. Design and deploy production-grade machine learning and generative AI systems while collaborating with…
What they ask for: Requires significant commercial experience in end-to-end machine learning and hands-on experience shipping generative AI systems in production. Candidates must possess a strong statistical foundation and proven ability to influence…
What you'll do: You will partner with engineering teams to develop actionable insights that guide improvements to the Wayve AI Driver through experimental and observational analysis. Your work involves formulating performance metrics, designing…
What they ask for: Candidates must have 3+ years of experience in a Data Science role with strong proficiency in SQL and statistical scripting languages like Python or R. You should possess a solid foundation in experimental design, statistical rigour, and…
What you'll do: Develop practical solutions to data science and AI/ML problems using quantitative and engineering skills. Collaborate with a technical team to turn early-stage ideas into functional technical output in a startup environment.
What they ask for: Requires approximately 5 to 10 or more years of relevant technical experience and a strong quantitative foundation. Candidates must have experience with agentic AI coding tools and a background in early-stage startup environments.
What you'll do: You will lead the development and deployment of AI models and LLM-based systems to automate financial crime mitigation and operational workflows. Additionally, you will establish technical strategy, mentor team members, and design robust…
What they ask for: The role requires extensive experience in implementing, training, and evaluating machine learning systems, with strong proficiency in Python. Candidates should also possess deep knowledge of GenAI/LLM solutions and the ability to work…
What you'll do: You will lead the data strategy for a large domain, identifying and solving complex business problems while influencing senior leadership. You will also mentor data scientists and establish best practices for experimentation, modeling, and…
What they ask for: The role requires an exceptional track record of leading complex, business-critical data science initiatives from strategy to execution. You must possess deep expertise in SQL and Python, along with the ability to communicate complex…
What you'll do: You will own and evolve the machine learning and AI pipelines for the company's data product suite, including classical ML/NLP and modern LLM components. You will collaborate with data engineers to transition solutions from proof of…
What they ask for: Candidates must hold a bachelor's or master's degree in a quantitative field and possess at least 5 years of experience as a Data Scientist. Practical experience in bringing LLMs into production, along with proficiency in Python, Spark…
What you'll do: You will own the product roadmap for trivago's A/B testing infrastructure and analytics intelligence layer to drive company-wide experimentation. You will lead the AI transformation agenda to enable proactive decision support and build a…
What they ask for: Candidates must have 5+ years of product management experience with at least 2 years specifically in A/B testing or analytics infrastructure. A solid grasp of statistical foundations and experience building platforms for both technical and…
What you'll do: Lead the development and deployment of machine learning models to improve Receive product performance and mitigate fraud risk. Collaborate with cross-functional teams to translate business requirements into scalable data science solutions…
What they ask for: Requires a proven track record in deploying end-to-end machine learning models and strong proficiency in Python. Candidates should have experience with large datasets, data processing technologies, and a solid understanding of fraud…
What you'll do: The Senior Product Manager will own the strategy, roadmap, and execution for monetization and retention levers to drive user value and business impact. They will lead cross-functional teams through the full product lifecycle, from…
What they ask for: Candidates must have 6-12+ years of product management experience with a proven track record in monetization, growth, or retention. Strong analytical rigor, stakeholder management skills, and the ability to partner effectively with…
What you'll do: Build and ship end-to-end production machine learning and data science systems from raw data to live outputs. Operate with high autonomy in a fast-scaling startup environment to solve complex problems from first principles.
What they ask for: Requires 5 to 10+ years of technical experience and strong quantitative foundations, such as a PhD or equivalent degree. Candidates must have daily hands-on experience with agentic AI coding tools and a track record of working in…
What you'll do: You will build and evolve AI benchmarking and experimentation platforms to enable robust model evaluation. Your work will involve designing end-to-end workflows and generating business-ready insights to influence AI strategy across client…
What they ask for: The role requires strong hands-on experience in data science and LLM experimentation using structured evaluation frameworks. You must be proficient in Python and have experience deploying machine learning workloads to cloud platforms.
What you'll do: You will develop and deploy advanced pricing models using SQL and Python to manage loss ratios and drive business growth. Additionally, you will collaborate with engineering teams to implement pricing strategies and identify new data…
What they ask for: Candidates must have at least 3 years of experience in a data-driven commercial role with strong proficiency in SQL and Python or R. You are expected to have expertise in building GLMs, GBMs, and other statistical models for pricing and…
What you'll do: The role involves continuously improving conversion rate and market models to optimize retail pricing and maximize customer lifetime value. You will collaborate with the trading team to develop pricing strategies and utilize Python to test…
What they ask for: Candidates must have 4+ years of experience in personal lines insurance pricing and a strong background in conversion and market modelling. Proficiency in Python, SQL, and statistical modelling is essential, along with a numerate degree.
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and deploying production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and strong proficiency in Python, machine learning, and statistical methods. A degree in Mathematics, Computer Science, or a related field is required, along with…
What you'll do: You will lead teams to develop AI, machine learning, and advanced analytics solutions that provide demonstrable value to the business. Additionally, you will collaborate with functional leaders to prioritize impactful projects and mentor…
What they ask for: The role requires strong Python scripting capabilities and experience with analytics development platforms and model deployment architectures. Candidates must also possess the ability to obtain and maintain UK Security Clearance.
What you'll do: You will lead the end-to-end lifecycle of AI and Machine Learning initiatives to drive business impact across various banking operations. Additionally, you will act as a bridge between technical data science teams and business stakeholders…
What they ask for: Candidates must have at least 2 years of experience as a Product Manager in a technology-driven environment with a track record of shipping AI-powered products. Strong technical literacy in AI fundamentals and the ability to manage complex…
What you'll do: You will lead the end-to-end lifecycle of AI and Machine Learning initiatives, bridging the gap between technical data science teams and business stakeholders. Additionally, you will drive the development of scalable AI solutions to…
What they ask for: Candidates must have at least 2 years of experience as a Product Manager in a technology-driven environment with a track record of shipping AI-powered products. Strong technical literacy in AI fundamentals and the ability to manage complex…
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