16 open jobs on The Stack list Statistical analysis as a key skill. They come from 9 companies in 5 countries, and 16 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Statistical analysis in its key skills. We do not guess skills from the job title.
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: You will collaborate with external partners to design and prioritize clinical trials while building tools to identify new uses for existing medicines. Additionally, you will develop reusable infrastructure for biomedical data and…
What they ask for: Candidates must have hands-on experience in clinical development, including trial design or analysis, and strong engineering skills to take LLM-powered tools to production. Proficiency in handling biomedical data 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: 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: You will design and analyze A/B experiments to optimize user funnels and reward mechanics across a massive data lake. Additionally, you will build automated dashboards and data pipelines to provide actionable insights for product and…
What they ask for: You must have 5+ years of experience as a Data Analyst with strong proficiency in SQL and Python. A deep understanding of statistical concepts, experimentation design, and anomaly detection is required for this role.
What you'll do: You will collaborate with external partners to design and prioritize clinical trials while building tools to identify new uses for existing medicines. Additionally, you will develop reusable infrastructure and agentic skills to support…
What they ask for: Candidates should have hands-on experience in clinical trials or drug repurposing and strong engineering skills to take LLM-powered tools from prototype to production. Proficiency in handling biomedical data and the ability to communicate…
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: 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: 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 apply quantitative analysis and data mining to understand user behavior and inform product strategy. Additionally, you will guide product teams in measuring key metrics and running A/B experiments to drive product improvements.
What they ask for: The ideal candidate has a solid grounding in SQL and Python with experience in conducting large-scale A/B experiments. You should be impact-driven, commercially minded, and capable of working strategically within cross-functional squads.
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 analyst will monitor and evaluate product initiatives to drive data-informed decision-making across business segments. They will also build dashboards, improve data literacy, and collaborate with cross-functional teams to optimize…
What they ask for: Candidates should have at least one year of experience in product or analytics with strong proficiency in SQL and Python or R. A solid understanding of statistical methods, experimentation, and data visualization tools is required.
What you'll do: Develop and productionize large-scale machine learning models to optimize sponsored search, ad allocation, and user engagement. Collaborate cross-functionally with product managers and engineers to conduct A/B experiments and improve ad…
What they ask for: Requires a track record of applying statistical and machine learning techniques to real-world problems, with expertise in search, recommendations, or ads systems. Candidates must have experience training, deploying, and maintaining…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting production-level models. Additionally, you will collaborate with technical and non-technical…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and a degree in a quantitative field. You must possess strong proficiency in Python, machine learning, and statistical methods, along with experience in deploying…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and supporting 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 a degree in a quantitative field. You must possess strong proficiency in Python, SQL, and machine learning, along with the ability to communicate technical…
