751 to 775 of 822 Data Scientist Jobs

Serve as Vortexa’s subject-matter authority for data science Design, implement and deploy advanced AI/ML methodologies and production-grade systems Define success for frontier problems without obvious baselines or established benchmarks Improve live predictions in collaboration with production-owning pods Own substantial projects … through long-term maintenance Identify emerging approaches, formulate hypotheses, design rigorous experiments and evaluate new techniques Translate research into practical real-world solutions Build Data Science capability through technical review, pairing, mentoring and setting working standards Lead the Data Science Guild by setting its technical agenda and facilitating ...

leading technology company is seeking a Data Scientist to develop data pipelines and machine learning models. This role involves working collaboratively within product squads and encompasses comprehensive responsibilities in optimizing decision-support products. Candidates should have strong knowledge of machine learning techniques, be proficient in Python ...

London, Greater London, England, United Kingdom · Data Science C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications … Generative AI, a suite of domain-specific generative AI offerings for the enterprise.Learn more at: C3 AI As a member of the C3 AI Data Scienceteam ,you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications ...

getting started. How you'll make an impactDeliver expertise and guidance to our key merchants by crafting optimal payments strategy. Conduct deep-dive exploratory data analysis to uncover insights and anomaliesConduct experiments and A/B tests to improve performance, including ML based solutions. Develop cutting-edge automation tools … Fintech or Consultancy, using analysis to make business recommendationsA huge advantage if you have previous experience working as Payment Analyst/Expert Data driven approach, by clearly defining success metrics and measuring progress against themSQL/Python knowledge to extract & analyse large data from our Data WarehouseGood ...

timePosted: 2026-06-29What you will do We are rebuilding our fraud detection systems from the ground up, and we are looking for data scientists who want the full mandate to do it right, from raw data to production model, at a scale that affects hundreds … demanding problem spaces at Klarna. You will build best-in-class machine learning systems from the ground up, owning the complete pipeline from raw data through feature engineering, model design, training, and real-time production deployment. A central part of this role is converting some of Klarna's existing ...

Transportation Data Scientists, Denver, CO: Manage multiple projects and technical tasks, including directing/overseeing parallel tracks of work performed by others. Develop budgets and approaches for complex projects. Regularly serve as a resource to analysts and non-analysts around the firm on how to tackle complex analysis challenges. … Develop scripts/software tools to solve novel/highly complex analysis and data management challenges. Coach and mentor junior staff on skills and projects. Some job duties can be performed from home. Salary $116k - $120k/Yr. Standard company benefits, including transit benefit of $125/mo. Submit ...

SCOR is seeking an Actuarial Analyst to join its Analytics Team. You will work on data analytics, programming, machine learning and research and development, with opportunities to lead high-profile projects and collaborate across SCOR and with the global team. You will help deliver the strategic plan by developing ...

what stores sell. The intelligence layer exists to test that claim, house by house, and to make it useful. It joins content and quiz data from the platform to sales data from the maisons, at POS, market and country level. This role owns the models inside it. … suggestions were worth taking. You build them with the engineers in Shenzhen, who ship them into the product. What you will do Join data of very different shapes and tempers: platform events, quiz results, POS feeds, market and country data. Build the correlation work that gives each maison ...

right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into … risk detection, QBR/autobrief generation, and post-call summarization & follow-ups. Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends. Prototype fast, ship to learn: Rapidly build with users, then productionize ...

Overview At Deliveroo we have an outstanding data science organisation with a mission to enable the highest quality human and machine decision‐making. We work throughout the company—in product, business and platform teams—using analysis, experimentation, causal inference and machine learning techniques to help make better decisions … improve data literacy across Deliveroo. Responsibilities Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the impact of exclusive deals we have with restaurants? How do we optimise our compensation policy to keep our customers happy and ordering with Deliveroo? What ...

setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python code, model design, distributed computing approaches … architectural decisions. Manage and develop a team of data scientists, setting standards for technical excellence, delivery discipline, and stakeholder engagement. Engage senior stakeholders (1LOD, Compliance, Control Owners, Technology) to prioritise initiatives, resolve competing demands, and ensure regulatory alignment. Candidate Requirements: Extensive experience building and deploying machine learning models ...

Harnham – Data & Analytics Recruitment is partnering with a leading UK digital insurance business to hire two Senior Data Scientists into its APP pricing team in Leicester. The role is hybrid with 1 day per week in the office. You will develop pricing models for car and van insurance … explore new data sources and apply ML techniques to influence commercial decisions. Strong Python/SQL and ML experience are essential; insurance domain experience is a plus. #J-18808-Ljbffr ...

Aufgaben End-to-end development, deployment, and optimization of robust Machine Learning models that generate measurable business impact Identification of new opportunities through advanced data analysis and translation of complex insights into actionable strategies that drive sports betting business value Acting as a trusted partner to cross-functional stakeholders … enabling data-driven decision-making and delivering innovative solutions into production Continuous evaluation, adoption, and application of emerging technologies, statistical methodologies, and Machine Learning algorithms Profil Completed higher education (FH, university degree, or equivalent) in a relevant field Minimum of 3 years of professional experience in Data Science ...

Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AIAs a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise … applications on the C3 AI Platform (c3.ai/customers/). You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital ...

building a foundation model that turns that sequence into a single, reusable representation of the customer — a transformer trained specifically on Klarna's own data, built in-house rather than adapted from an existing public model, because the patterns it needs to learn don't show up in general … features, deciding on vocabulary size, sequence length, and how information compounds across a sequence. You'll own the model lifecycle end to end, from data preparation and training through to serving it in production. You'll translate research decisions — architecture choices, tokenisation trade-offs — into production systems that ...

National Geographic is looking for a Senior Data Science Engineer to lead projects in the Trading Intelligence Team. This role involves developing statistical models and collaborating across teams to enhance decision-making through data science. The candidate should have a Bachelor's degree in a relevant field … proven experience in data science, strong machine learning foundations, and proficiency in Python or R. Knowledge of Kubernetes and Kafka is desirable. #J-18808-Ljbffr ...

demos and deep-dive sessions Influence AI model selection and technical strategy across PwC projects and client engagements Requirements Strong hands-on experience in Data Science concepts or LLM experimentation using structured evaluation frameworks Highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code Experience deploying … technical direction, communicating clearly and supporting the development of others Available for work visa sponsorship Up to 20% travel Core Competencies Demonstrates expertise in Data Science concepts and LLM experimentation, with a strong focus on building scalable evaluation frameworks and deploying ML workloads on cloud platforms. Proficient in Python ...

Haleon is building a world-class AI & Data Science capability to power Marketing and Consumer Insights with responsible AI at its core. This role contributes to the development of models, pipelines, and tools that enable data-driven decisions across brands and campaigns. You will collaborate with product owners … data engineers and ML engineers, shaping data science solutions from modelling to deployment within Haleon’s agile, performance-focused culture. #J-18808-Ljbffr ...

Communicate results effectively to business stakeholders through written reports, visualizations, and presentations. Stay current with the latest research in LLM, agentic AI, ML, and data science, and proactively identify and leverage emerging techniques to drive ongoing enhancement. Qualifications, Capabilities, and Skills Proven experience applying NLP, LLM, and ML techniques … high-impact business problems. Demonstrated intellectual curiosity and a passion for staying current with the latest advancements in AI, LLMs, agentic AI frameworks, and data science. Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks. Excellent communication skills and ability to work collaboratively ...

risk signals at point of quote Working with the panel of underwriters to improve how they assess and select risk Exploring non-traditional data sources to sharpen underwriting decisions Getting models into production so they're shaping live underwriting decisions every day Helping junior analysts develop their thinking … This is a rare role and they know it. They're looking for someone who brings genuine breadth across underwriting analytics, pricing, and data science, someone who understands how insurance portfolios actually behave and can work credibly with underwriters, not just alongside them. Your background might span underwriting analytics ...

This is a senior data science role with a Cambridge digital health and AI company, working on models that support diagnosis, triage and clinical decision support. What you will do Own modelling across clinical and device-generated datasets from research through to validation. Build the evidence base that supports ...

generalised approaches that could replace separate credit and CLtV models Land commercial impact and communicate technical decisions Collaborate with a team of approximately twelve data scientists Requirements Background in probability and statistics from a quantitative field Experience building and shipping supervised machine-learning models end to end, including exploration … communication Domain experience in credit risk, lending, or customer lifetime value modelling is a bonus Experience shipping gradient boosting or neural networks on tabular data in production is a bonus Experience with hierarchical models, MCMC, or Bayesian updating is a bonus Experience modelling temporal data involving autocorrelation, drift ...

Checkout.com is seeking an experienced Payments Data Analyst to join our growing analytics team in London. You will translate merchant data into actionable insights, drive experiments, and build automation to monitor merchant performance. You’ll work with SQL and Python to query large datasets from our data ...

Open Data Science is looking for mid-level and senior Data Scientists/ML Engineers to join the team at Wheely. You'll be responsible for the entire process, from ideation to model implementation, tackling challenging tasks like developing driving models and pricing journeys. The position is located ...

addressable market safely, pushing conversion and profitability up together. Scientific integrity is non-negotiable. Model improvements need to be statistically significant, with no data leakage and no bias hiding in the numbers. You'll turn technical findings into business trade-offs leadership can act on, mapping ROC AUC straight … stand out if you've worked on highly automated lending, price sensitivity modelling, or Customer Lifetime Value. What this role could turn intoSenior Data Scientists here tend to grow into Staff or leadership roles with broader influence over risk strategy and team direction. We're building a quantitative risk ...