726 to 750 of 6,425 Data Science Jobs

The ideal candidate will have strong analytical skills, excellent communication abilities, and understanding of customer success strategies, with experience working in a cross-functional, fast-paced environment. Key Responsibilities : Data and Reporting: Analyze data on payment and user performance to uncover trends, pain points, and areas for improvement; share actionable insights to support our commercial teams in increasing … optimization. Customer Insights & Business Strategy: Assist Customer Success executives with success stories and insights to showcase the value of our products and services. Provide actionable insights based on customer data, partner health scores, and feedback to influence product and service strategies. Customer Feedback: Support review of customer feedback from various touchpoints (scorecards, surveys, etc.). Support the creation of … activities and attend customer meetings when needed. Build and maintain relationships with internal stakeholders involved in customer success strategy, including Commercial, BI, Solution Delivery, Support, Risk & Fraud, Product, and Data teams. Key Skills and Competencies: Customer Success: Understanding of customer success principles and metrics (e.g., NPS, churn, satisfaction). Data Analysis Skills: Experience with data analysis tools More ❯

The ideal candidate will have strong analytical skills, excellent communication abilities, and understanding of customer success strategies, with experience working in a cross-functional, fast-paced environment. Key Responsibilities: Data and Reporting: Analyze data on payment and user performance to uncover trends, pain points, areas for improvement, and share actionable insights to support our commercial teams in increasing … Success executives with success stories and insights to highlight the value of our products and services. Help shape product and service strategies by providing actionable insights based on customer data, partner health scores, and feedback. Customer Feedback: Support review of customer feedback from various touchpoints. Contribute to customer success strategies aimed at maximizing retention and reducing churn. Cross-functional … activities and customer meetings as needed. Build and maintain relationships with internal stakeholders involved in customer success strategies, including Commercial, BI, Solution Delivery, Support, Risk and Fraud, Product, and Data teams. Key Skills and Competencies: Customer Success: Understanding of customer success principles and metrics (e.g., NPS, churn rate, satisfaction). Data Analysis Skills: Experience with data analysis More ❯

Location: Guernsey, Haywards Heath, Home Office (Remote) or Manchester Salary: £50,000 - £70,000 - depending on experience Department: Technology and Data We’re First Central Insurance & Technology Group (First Central for short), an innovative, market-leading insurance company. We protect the things customers love so they can get on with what matters to them in life. Data drives … us. It fuels our outstanding distribution, finance, technology and legal services. Our underwriting skills are built on data expertise; it creates the insights we need to give the right cover to the right customers at the right price. But, it’s the people inside and outside our business that power us. They make us stand out, help us succeed. … awards. Are you looking to advance your career in a dynamic and fast-paced environment? We’re seeking an AI & Machine Learning Engineer to join our innovative technology and data teams. Working as an AI & Machine Learning Engineer you’ll be responsible for understanding and answering complex business questions using advanced data and analytics techniques. You’ll be More ❯

s why good things happen when you meerkat. We’d love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will identify the tech requirements to productionise automated, scalable and … makes you great for this role. Some of the great things you’ll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models, ensuring the code follows … Follow best practices for the management and interrogation of large scale ‘structured’ and ‘unstructured’ datasets (million+ rows with thousand+ features, policy documents, etc). Enable the collection of new data and the refinement of existing data sources. Help manage day to day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated More ❯

Join to apply for the Software Engineer role at Altrata . Overview The Data Software Engineer will develop and maintain ETL solutions using SQL Server, .NET, and Databricks. The role involves designing clean, decoupled solutions in collaboration with architects, creating automated tests for continuous delivery, and engaging in peer code reviews. The candidate will work closely with Business Analysts … QA Engineers, and Data Scientists to deliver high-quality software, with active involvement in DevOps processes. Responsibilities Design, develop, and maintain data pipelines and ETL processes. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Optimize and troubleshoot SQL queries and C#/.NET applications. Implement data integration solutions using various ETL tools. … Adhere to development standards and participate in continuous improvement efforts. Work with big data technologies such as PySpark and Databricks. Contribute to the delivery of data supporting new products and features. Participate in agile practices, including estimation, planning, and retrospectives. Ensure coding standards, CI/CD, and test coverage are met. Contribute to a positive company culture. Key More ❯

currently seeking a Machine Learning Engineer based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging More ❯

sessions. Whenever the opportunity arises, you will gather customer feedback to inform and lead the creation of new IP to guide FICO’s product and business development roadmap." - Analytic Science, Hiring Manager What You'll Do You will elevate how we engage with internal and external business on topics related to AI/Gen AI. You will be accountable … social medial messaging. You will create proof of concepts, product demonstrations, respond to RFIs/RFPs, and prepare sales package proposals. What We're Seeking MSc degree in computer science, engineering, physics, statistics, mathematics, operations research or natural science fields with hands-on related experience in data science, including AI/Gen AI and machine learning. … Experience analyzing large data sets and applying data-cleaning techniques along with performing statistical analyses leading to the understanding of the structure of data sets. Proven and demonstrable experience with at least three of the following machine learning algorithms: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear More ❯

currently seeking a Machine Learning Engineer based out of our Manchester office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging More ❯

Functions: Provide innovative solutions for problems in commercial real estate using generative AI and other machine learning algorithms Use large language models (LLMs) to analyze various commercial real estate data sets, including large sets of financial documents and commercial real estate market data Engineer and tune LLM prompts, and perform automatic and manual evaluations of LLM outputs Apply … machine learning algorithms to find patterns in financial data sets, especially time series, related to commercial real estate Translate business problems and requirements into tasks that can be solved with generative AI, machine learning, or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with engineering and product development teams Following experimentation and … deployment, and maintenance of machine learning solutions Monitor model performance post-deployment and iterate based on feedback Communicate with, and present results to, colleagues and stakeholders Present information using data visualization techniques Qualifications/Requirements: A master’s degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is More ❯

most pressing customer problems and simultaneously, maintain production models ensuring operational excellence as well as long term strategy. The ideal candidate will have a strong background in machine learning, data science, and software engineering, with the ability to design, develop, and implement robust machine learning models and systems in production. Key Responsibilities Lead the development of machine learning … algorithms and models for behavioural modeling and cybersecurity attack detection. Collaborate with cross-functional teams to understand requirements and translate them into effective machine learning solutions. Conduct exploratory data analysis, feature engineering, model development and evaluation. Work with infrastructure & product engineers to productionize models and new ML based features. Actively monitor and improve production models through feature engineering, rules … and ML modeling. Participate in code reviews and ensure high quality and maintainability of ML systems. Stay updated on the latest research in the field of machine learning, data science, and AI. Contribute to the development of machine learning best practices within the organization. Provide mentorship and guidance to junior team members. Required Skills: Proven experience as a More ❯

Join to apply for the Technical Support Engineer role at Tecton Join to apply for the Technical Support Engineer role at Tecton At Tecton, we solve the complex data problems in production machine learning. Tecton’s feature platform makes it simple to activate data for smarter models and predictions, abstracting away the complex engineering to speed up innovation. … Tecton, candidates must possess a minimum of 3-5 years of technical support experience in the software or technology industry, ideally coupled with a bachelor's degree in Computer Science or a related field. Demonstrated proficiency in troubleshooting complex technical issues, strong communication and analytical skills, and a proactive, solution-oriented attitude are essential. Technical expertise in software applications … programming languages like Python, and SQL for data querying and manipulation is required, with experience in cloud computing concepts (AWS, Azure, Google Cloud Platform) being highly advantageous. We set a high bar for excellence and seek candidates committed to exceeding customer satisfaction targets, continuous learning, and making a meaningful impact in shaping the future of MLOps at Tecton. Qualifications More ❯

most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a … wide range of life science industries, including in biotech and pharma. We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We’ve already shipped a first version of the Lumi platform and we’ve received excellent feedback from early customers. We have very … make an impact! Your impact As a Senior AI Engineer at Reach Industries, you will be responsible for developing and implementing state-of-the-art AI models for visual data analysis and inference. Working collaboratively with cross-functional teams, your focus will be on understanding business requirements and designing optimal AI solutions. Develop and deploy AI models for visual More ❯

and Automotive. We are taking the next leap in building out our technology platform and product offering. In this context, we are looking for a capable and enthusiastic research data scientists to join our research team. If all of this sounds exciting to you, we would love to talk. Note: We are currently recruiting for multiple positions, however please … optimise machine learning models with a focus on scalability and efficiency in our application domain Transform prototype model implementations to robust and optimised implementations Implement distributed training architectures (e.g., data parallelism, parameter server, etc.) for multi-node/multi-GPU training and explore federated learning capacity using cloud (e.g., AWS, Azure, GCP) and on-premise services. Work with research … scientists to design, build and scale foundation models for science and engineering; helping to scale and optimise model training to large data and multi-GPU cloud compute Identify the best libraries, frameworks and tools for our modelling efforts to set us up for success Own Research work-streams at different levels, depending on seniority Discuss the results and More ❯

Lead Machine Learning Engineer, Associate Director based out of our Manchester office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for More ❯

frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems. Key Responsibilities Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims … cost, conversion, retention, market models) Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work Collaborate with the technical pricing, street pricing and product teams to gather requirements and feedback on tooling and to build impactful technology Communicate complex concepts to … technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies: Model lifecycle: You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical More ❯

C1 Company Overview C1: 1 Contact, 1 Connection, 1 Choice C1 is the foremost, single-source provider of advanced communications and data technology for business. That means if it's digital, we connect our customers to it from phone systems and hardware to computer networks, application development, managed solutions and more. And we're 100% passionate with designing, implementing … our customers. You will collaborate with cross-functional teams to identify opportunities for automation, optimization, and innovation. This role requires a strong foundation in machine learning, deep learning, and data science, as well as a passion for solving challenging problems. Responsibilities Essential Functions Model Development: Design, develop, and train machine learning and deep learning models for various applications … including natural language processing, computer vision, predictive analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure data quality and availability. System Integration: Integrate AI models into existing software architectures, ensuring seamless functionality and optimal performance. Research & Innovation: Stay current with the latest AI research More ❯

product capabilities. With a focus on applied machine learning, generative AI, and cloud- tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. … Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model … growth of others through coaching, peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Documentation & Continuous Improvement Contribute to internal documentation and knowledge sharing More ❯

Lead Machine Learning Engineer, Associate Director based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. About the Team The Fitch Group's AI Implementation Chapter is seeking a … initiatives, ensuring the integration of ML solutions into existing workflows by collaborating with product squads and business stakeholders Develop robust, production-quality software artifacts using Python and large-scale data workflow orchestration platforms (e.g., Airflow), while managing team resources & timelines Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure Champion ML governance, ensuring More ❯

capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. … Own the full development cycle for ML systems — including architecture, data pipelines, model training, and production deployment. Cross-functional Collaboration Work closely with Product, Engineering, and DevOps teams to embed intelligent features into our platform. Ensure smooth end-to-end integration of AI/ML functionality within broader product development efforts. Technical Leadership Define best practices for MLOps, model … growth of others through coaching, peer programming, and technical reviews. Share learnings and help foster a culture of innovation and experimentation. Problem Solving at Scale Tackle challenges related to data quality, interpretability, bias, and reliability. Build processes and infrastructure that make AI/ML workflows efficient, robust, and repeatable. Contribute to internal documentation and knowledge sharing resources. Refine and More ❯

performance tuning, and troubleshooting to maintain high standards of reliability and efficiency. Collaboration and Communication: Foster strong cross-functional collaboration with other teams such as UX/UI design, data science, and operations. Communicate project status, risks, and opportunities to senior management and stakeholders effectively. Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or … to articulate complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with big data processing frameworks (e.g., Hadoop, Spark) and distributed computing. Certifications in relevant technologies or project management (e.g., PMP, Scrum Master). More ❯

Lead Machine Learning Engineer, Associate Director based out of our London office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group’s culture of credibility, independence … and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world’s top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets … impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for More ❯

UK, Germany. The Telefónica Tech UK&I hub has an end- to-end portfolio of market leading services and develops integrated technology solutions to accelerate digital transformation through: Cloud, Data & AI, Enterprise Applications, Workplace Services and Cyber Security & Networking. Values: Open, Trusted and Bold HPE: Platinum Partner – FY23 UK&I Solution Provider of the Year Palo Alto & Crowdstrike: part … NextDefense Cyber Security Portfolio Fortinet: Elite VIP Program – one of only 2 in the UK AWS: Advanced Solution & Managed Service Provider Program ROLE The role is aligned to our Data&AI division focussed on early-stage engagement with clients, helping our commercial teams structure and estimate programme deliveries. The role will involve a deep knowledge of the technology we … and how we do it with the Microsoft Technology stack. It will suit a technically minded person who has previously had strong experience in a consultancy role, delivering enterprise data platform solutions and working with clients to scope, design and estimate new projects. You may also have worked in a pre sales role before, but this is not essential. More ❯

Lead the architecture and design of AI solutions Work closely with clients to understand their business challenges and translate these into effective AI strategies Collaborate with software engineers and data scientists to drive the full lifecycle of AI solutions from concept and architecture to production deployment Ensure that AI solutions are scalable, maintainable, and adhere to security best practices … the team Requirements Proven experience as a Solutions Architect or in a similar role with a strong focus on AI and machine learning Solid understanding of machine learning algorithms, data structures, and statistical modelling Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn Strong programming skills in languages such as Python, Java, or Scala Strong … articulate technical concepts to non-technical stakeholders Any experience around AWS Bedrock, Google Vertex, AI Studio would be preferable Experience around leading teams and engagements A degree in Computer Science, Data Science, or a related field; advanced degrees are preferred Benefits About Digiterre Digiterre is a software and data engineering consultancy that enables technological and organisational More ❯

diffusion models Analyze large datasets to uncover patterns, insights, and opportunities for machine learning applications Optimize and fine-tune models for performance, scalability, and accuracy Build and maintain scalable data pipelines for model training and deployment Provide technical guidance and mentorship to junior data scientists and engineers Communicate complex technical concepts and results to non-technical stakeholders in … progress reports, and final presentations Participate in client meetings and workshops to showcase AI capabilities and provide thought leadership on AI strategies Requirements Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field Proven experience (3+ years) in machine learning and generative AI, with a strong portfolio of projects involving models like … AWS, Azure, Google Cloud) and MLops tools for model deployment and management Excellent problem-solving skills with a strong ability to identify and troubleshoot issues in model performance and data quality Effective communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences Ability to work independently as well as collaboratively in More ❯

growing business. Their team of analysts, consultants, software specialists and Defence SMEs work closely with their customers to deliver high-impact services and solutions. They provide software applications and data science capability to support their clients' decision-making processes. As Software Engineer your role will include: Developing high quality software applications for business users. Using agile approaches to … Deploying web applications on cloud platforms such as Azure, AWS, or GCP. Experience with Redhat Openshift Container Platform. Experience with React.js. Proficiency in working with SQL and NoSQL databases. Data science techniques, including discrete event simulation. Advanced MS Excel skills, including VBA. Understanding of the UK MoD and Armed Forces. It is a requirement that the successful candidate More ❯