376 to 398 of 398 Senior Data Scientist Jobs

build production ML models that assess transaction risk and help merchants grow their businesses. You will design experiments, deploy models, and collaborate with data engineers to optimize decisioning strategies. The role emphasizes Python development, SQL proficiency, and experience with Spark/Databricks in a remote-first environment. It offers ...

At ControlExpert , a company of the Solvd Group based in Munich, you will be part of a team at the forefront on innovation in automotive claims management . Since our founding in 2002, we have ...

relaytech.co is seeking a talented individual for an Operational Research role, responsible for translating operational needs into optimisation models. You will develop algorithms and work closely with engineering teams to automate solutions, driving efficiency across ...

Sedona Digital Ltd is seeking a Lead Data Scientist to lead enterprise‐scale AI, ML and analytics solutions. The role combines technical leadership, solution architecture, and hands‐on data science to transform business challenges into measurable outcomes through data and AI. You will set best practices … across the Data & AI lifecycle, architect modern data for AI platforms, design governance and metadata frameworks, and guide multidisciplinary teams delivering scalable analytical and AI #J-18808-Ljbffr ...

Lead Technical Architect/NLP Engineer (Natural language processing)Interviewing immediately for NLP experts with a background in either data science or data engineering for a lead/senior position near Fleet within a ground breaking Fintech company which works with the latest technologies … mixture of architecture, development and leadership. Requirements: NLP experience commerciallystrong Python, R and SQL development skillsHands on solution architecture experienceA background in data engineering or data scienceBonus: Experience working in the financial industryAzureEngine developmentData design/modellingData insightsData ingestionData workflowIf you or anyone you know may be interested ...

Talk to customers and align on success criteria and measurement Use raw, real-world data to form clear, actionable insights Optimise agent performance for each onboarded customer Own the optimisation flow from identifying opportunities through testing hypotheses, running experiments, delivering improvements, and demonstrating value Analyse data … scope independent initiatives Turn ad hoc analyses and findings into scalable self-service tooling for teammates and customers Requirements Significant data science experience at a lead/staff level Experience building robust data pipelines Fluency in SQL and Python Strong understanding of statistical methods Background working ...

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 ...

across channels. The opportunity Become one of the top contributors to bring the new product vision live. Work end to end across metric design, data and modeling, experimentation, and product integration. What you’ll do Build components of new products that turn real customer signals into timely actions … impact; embed sound statistical practice; and turn results into simple, trusted narratives that guide product and commercial decisions. Productionize and scale thoughtfully: ship durable data and model workflows in collaboration with the engineering team, ensure quality and monitoring, and document decisions so the system is reliable, explainable, and easy ...

safer and more connected world. About the role This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels … group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.Excellent coding practice using Python ...

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 ...

here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife The team Our Data Science team helps Zopa make better credit decisions. We partner closely with Credit Strategy, Product and Engineering to turn ambiguous business problems into robust … models, clear analysis and practical solutions. We are growing a dedicated, product-facing data science capability focused predominantly on credit. The team will help rebuild and expand the models that support consumer-credit decisions, while increasing the sophistication of how we model risk, value and outcomes. This ...

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 ...

Join us and be part of something bigger. J OB P ROFILE DESCRIPTION Kainos is recognised as one of the UKs leading AI and data businesses, with a decade-longtrack recordof delivering impactful, production-grade AI solutions for clients across government, healthcare,defence,and commercial sectors. Kainos … leadership for your team as you solve challenging problems together. M INIMUM ( ESSENTIAL ) REQUIREMENTS : A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Have a deep understandingand developingof AI/ML models, including time series, supervised/unsupervised learning ...

role focuses on developing novel AI/ML solutions, scoping ideas and delivering projects for customers and internal research. You will work with senior leaders, mentor juniors, and require SC and eDV clearance. The role is hybrid (about 3 days on-site) with opportunities to influence technical direction ...

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 … temporal 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 ...

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 ...

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 ...

constantly evolving threat landscape. Responsibilities Lead the research, design, and evaluate detection models that identify automated, fraudulent, and malicious activity across Internet-scale data Mentor others in how to uncover patterns and behaviors that distinguish adversaries from legitimate users. Own the detection measurement framework, defining metrics and evaluation strategies … contested. Drive adoption of promising AI/ML techniques and represent Cloudflare in the broader research community. Drive cross-functional partnerships with ML Engineers, Data Engineers, and Product; Influence roadmaps and align detection strategy with company priorities. Shape long-term detection strategy, identifying gaps and opportunities that span multiple ...

mentoring more junior peers They're pretty cloud agnostic, Azure would be great though. Looking for the below skill set: Strong experience delivering applied data science or ML projects end‐to‐end, including feature engineering, model selection, evaluation, and iteration. Strong experience developing solutions in Python, with good practices ...

hackajob is partnering directly with Rentokil Initial to hire for this role. As part of our Group AI Team, we are scaling our internal capabilities to deliver cutting-edge, production-grade AI solutions across our ...

Orchard Therapeutics plc. in London offers a hybrid role for an ELN/Data Specialist who will be the SME for our ELN platform across TD and R&D. You will configure, govern and improve the ELN, define standards and guide scientists and superusers in applying them. You will … manage ELN operations, build data repositories, write SQL queries, and collaborate with R&D, Quality and informatics to enable data-driven decision making. #J-18808-Ljbffr ...

split time between heads-down analysis and leading projects, helping shape live decisions on quotes and policies. Your background in underwriting analytics, pricing, or data science will be crucial. Proficiency in Python or R and SQL is required, with GBMs and fraud analytics as strong assets. #J-18808-Ljbffr ...

Skillful is seeking a Lead Portfolio Analyst to join in London or Hampshire, combining underwriting analytics, pricing and data science to influence live underwriting decisions. You will report to the underwriting manager and Chief Underwriting Officer, with ~70% hands-on work and 30% leadership of projects and junior analysts. ...