1,726 to 1,750 of 2,715 Permanent Data Science Jobs

AI community and keep in touch with the latest developments in AI. Candidate Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). More ❯

ordinary. They design, develop, and launch credit products across the globe. The team manages our products from day one to the end, developing the back and front-end, the data science infrastructure, and then creating a local setup in each country with scalable risk management and portfolio management solutions. It's a big job, but our people are … of all credit KPIs through intensive monitoring Ensuring approval and good rating of first line credit risk function from second line, third line, and regulators Selecting and onboarding new data suppliers What you'll need 5-7 years of experience in credit risk management in consumer lending or SME lending products The ability to extract the essence from complex … matters and explain it simply Being inquisitive and ensuring decisions are data-driven Expertise working with large datasets using Python (Pandas) or SQL A solid understanding of credit policy governance framework and the ability to work through the second/third line of defence in a competent manner The ability to plan appropriately to meet multiple objectives To be More ❯

countries across the globe. As a Power Systems Research and Development Engineer in Camlin, you will work within a multi-disciplinary team of electrical and software engineers, and data scientists to deliver innovative solutions to support distribution network operators' (DNOs) business needs. You will study the network behaviour in detail, and develop and implement novel solutions to, for example … models, alongside documentation of associated methodologies, where required. Design, develop, document and test robust, efficient and novel algorithms to meet project requirements, consulting appropriate literature when required. Analyse field data to validate, troubleshoot and enhance the models and algorithms. Act as a subject matter expert on UK distribution power systems within multidisciplinary project teams. Communicate methodologies clearly to the … motivation to develop new skills and improve own working practices based on constructive feedback from peers. Excellent verbal, written and graphical communication skills. A genuine passion for algorithm development, science and engineering. Company Pension & Life Assurance Schemes On-site parking Hybrid Working Subsidised Gym Membership EQUAL EMPLOYMENT OPPORTUNITY STATEMENT Individuals seeking employment at Camlin are considered without regards to More ❯

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world … s most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We're looking for More ❯

experience in a customer-facing role in technology, financial services, or consulting (e.g. Customer Success, Presales, Product Analyst, Solutions Engineer). Top-tier academic background, ideally in STEM, economics, data science, or related fields. Strong analytical mindset and structured approach to solving customer problems. Clear communicator-able to present ideas persuasively and adapt style across audiences. Comfort working … of employment may be withdrawn or my employment with AUQUAN LTD may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with AUQUAN LTD's Candidate Privacy Notice More ❯

the face of uncertainty and complexity Trusted TMT advisors for our internal/external clients Requirements Undergraduate degree with a Major in Business, Economics, Engineering (Industrial, Electrical, Electronic, Computer Science, Data Science), Finance, Management, Strategy, Analytics or a related field 2-3 years of experience, preferably in strategic or management consulting, private equity, investment banking, regulatory assignments More ❯

of Hampshire. The Role: You will be working in our vital third-level application development and support team who are involved in Application Integration, Customer Relationship Management, Low Code, Data Science/AI, Data Analytics, Geographic Information Mapping and other key information development projects; occupying a vital role designing, building and implementing new technologies for Hampshire County More ❯

you enjoy solving technical cyber problems and identifying vulnerabilities? As part of our client's expanding National Security division, you'll contribute to high-impact missions across AI/Data Science, Cybersecurity, Cloud, DevOps, and Platform Engineering. We're seeking inquisitive individuals who excel at dissecting technical systems, not just to understand how they work, but to identify More ❯

you enjoy solving technical cyber problems and identifying vulnerabilities? As part of our client's expanding National Security division, you'll contribute to high-impact missions across AI/Data Science, Cybersecurity, Cloud, DevOps, and Platform Engineering. We're seeking inquisitive individuals who excel at dissecting technical systems, not just to understand how they work, but to identify More ❯

The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. Are you a highly experienced Network More ❯

AWS Cloud Developer Washington, DC We are seeking a Redshift Developer or Oracle Developer with AWS experience (Top Secret clearance required) to join a data warehouse and business intelligence (BI) development team supporting our federal client working to migrate an on-prem Oracle Enterprise Edition (EE) data warehouse to Redshift instance in AWS. This is a full-time … position with on-site work performed at the client's office located in Washington, D.C. Responsibilities: Work hand-in-hand with our AWS Solutions Architect and Data Warehouse Engineer to configure and implement existing on-prem data warehouse infrastructure to AWS Redshift. Develop and create tables, views, materialized views, indexes, constraints, and PL/SQL based ETL routines … system and ensure the ETL runs as efficiently as possible. Develop, implement, and maintain development and production environments. Develop Lambda functions, python code and ETL SQL procedures to retrieve data from source systems to AWS Redshift. Work in a fast-paced Agile environment with fluid requirements and changing priorities. Requirements: On-site Washington, D.C. Top Secret clearance required. Four More ❯

Interview Process: 3 stages We're working with a UK-based healthtech company looking for a Lead AI Engineer. This role sits within a cross-functional Data & AI team, focused on taking NLP projects into production and improving system design and infrastructure. You’ll also guide a small technical team (2–3 people), but the focus remains deeply technical … ideal for someone from a software engineering background. What you'll do: Build and scale NLP/document processing pipelines using microservices Lead 2–3 reports (data scientists + AIOps engineer) Set engineering standards and lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong … Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points for: Experience in regulated domains Knowledge of semantic search, graph/vector databases Java or C# background and understanding of SOLID principles 📩 Interested More ❯

Interview Process: 3 stages We're working with a UK-based healthtech company looking for a Lead AI Engineer. This role sits within a cross-functional Data & AI team, focused on taking NLP projects into production and improving system design and infrastructure. You’ll also guide a small technical team (2–3 people), but the focus remains deeply technical … ideal for someone from a software engineering background. What you'll do: Build and scale NLP/document processing pipelines using microservices Lead 2–3 reports (data scientists + AIOps engineer) Set engineering standards and lead architecture, code reviews, and deployment Work with DevOps, product, and data teams to deliver production-ready solutions What you’ll need: Strong … Python and experience with PyTorch or TensorFlow Solid understanding of REST APIs, CI/CD, Docker, Kubernetes, and AWS Proven delivery of NLP/OCR projects with unstructured data Experience managing or mentoring engineers Bonus points for: Experience in regulated domains Knowledge of semantic search, graph/vector databases Java or C# background and understanding of SOLID principles 📩 Interested More ❯

Job Title: Actuarial Analyst Location: London/Hybrid Employment Type: Contract/Perm options Key Responsibilities: Assist in developing and maintaining actuarial models for pricing, reserving, and forecasting. Perform data analysis and manipulation using actuarial software and tools (e.g., Excel, SQL, R, Python). Support client projects involving risk modeling, product development, and portfolio analysis. Collaborate with cross-functional … teams including underwriters, data scientists, and software developers. Interpret insurance data and trends to support strategic decision-making. Prepare reports, presentations, and documentation for internal stakeholders and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience More ❯

Job Title: Actuarial Analyst Location: London/Hybrid Employment Type: Contract/Perm options Key Responsibilities: Assist in developing and maintaining actuarial models for pricing, reserving, and forecasting. Perform data analysis and manipulation using actuarial software and tools (e.g., Excel, SQL, R, Python). Support client projects involving risk modeling, product development, and portfolio analysis. Collaborate with cross-functional … teams including underwriters, data scientists, and software developers. Interpret insurance data and trends to support strategic decision-making. Prepare reports, presentations, and documentation for internal stakeholders and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience More ❯

how companies get funding and optimise their working capital. Our client aims to change how corporate finance works, by replacing static, limited and often stale financial metrics with live data-driven insights sourced from direct connections to their clients systems. You will be joining a strong team of Python Engineers, Data Scientists, and financial experts, who are building … Python Software Engineer, you will contribute to the design, development, and delivery of scalable, high-impact features across our platform. Youll work closely with experienced engineers, product managers, and data scientists to build reliable systems that solve complex financial problems. This role offers an excellent opportunity to deepen your technical expertise, take ownership of individual projects, and grow in … Tech: Python, FastAPI, Pydantic, PostgreSQL, AWS DevOps tools: Kubernetes, Docker,Terraform, Jenkins Very strong software engineering principles Enthusiasm for startup environment and cross-functional teams Passion for automation and data infrastructure More ❯

you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to … innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly … you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches More ❯

led approach to Distribution across Marketing, Sales and Client Management. Sitting within the Distribution business management function (DSG), the Distribution Insight team are the powerhouse driving our approach to data-driven, insight led decision-making and commercial execution. In this senior role you will lead our efforts in this space, partnering with distribution leadership, enterprise tech/data … development campaign insight, sales funnel optimization & implementing AI capabilities across the spectrum of marketing, sales & client management functions. You're likely an evangelist for story telling through creative, compelling data visualization, able to see simple patterns and connections where others see complexity and relish in the ability to bring people on the journey. You'll have a keen interest … across Sales, Marketing and Client Management to understand business needs and opportunities, then developing ideas and solutions to solve for them. Building/running the Distribution Insight team, comprising data scientists and insight product management across the UK and India. Leading the 'insight sales' strategy and providing clear visibility to Distribution leadership, outlining the vision, the investment required to More ❯

prepares employees to work with artificial intelligence (AI). One of BCAI's many training offerings is the 18-month expert program, in which employees develop into experts in data engineering and data science. "In a few years, software competence will be standard for every engineer", says Máté. As part of the expert program, the group leader is … training to become a data engineer. A data engineer's job is to organize, cleanse and make data available to others for use in training an artificial intelligence, for example. "As a leader, I feel a responsibility to educate myself in the field and be a role model. I didn't know anything about professional software development … vibrations or extreme temperatures, for example. In the future, the test reports should be generated automatically. He is bringing this project into the advanced training program to become a data engineer. The idea: "The data pipeline begins with the collection, conversion and structured storage of raw data. By means of AI, relevant data is automatically printed in More ❯

partnerships, access to technology, training, and certifications to plan, integrate and manage large-scale, mission-critical IT programs. 5+ years of experience working in the field of analytics, big data and artificial intelligence supporting infrastructure deployment, setup and configuration, ideally through automation. • 2+ years of experience working with the Starburst tool suite. Ability to engage database administrators, warehouse designers … warehouse developers and data scientists to utilize this tool. • Experienced in performance tuning Starburst to provide business critical functions. • Very good knowledge of writing production-ready Starburst queries and operationalizing Starburst connectors ensuring high availability and upgrade management. Extensive knowledge of SQL query language. • Knowledge of best practices for the Starburst environment in terms of security and governance. • Good … understanding of Stargate and Starburst clustering. • Very good knowledge of troubleshooting complex data environments, especially environments with multiple heterogenous data sources. • Good knowledge of warehousing and ETLs. Extensive knowledge of popular database providers such as SQL Server, PostgreSQL, Teradata and others. • Proficiency in technologies in the Apache Hadoop ecosystem, especially Hive, Impala and Ranger • Experience working with open More ❯

cases, and setting measurable goals to influence pipeline and generate significant growth across all AI-related products and segments. Our objective is to position PlatformDIGITAL as the leading global data center provider that seamlessly integrates AI with cloud, core, and edge infrastructure, empowering intelligent digital businesses and addressing the challenges of data gravity. What you'll do The … joint AI go-to-market strategies and operationalize them with Digital Realty sellers. What Youll Need Broad expertise in digital business and AI Evangelism , with a deep understanding of data and applications, networking, cloud architectures, and AI technologies. Superior communication skills , with the ability to articulate complex AI concepts and solutions creatively and effectively. Strong presentation and writing skills … are essential. 10+ years of experience in data center, networking, applications, data sciences, or AI-related technology. Understanding of SDN and SD data center infrastructure , and how AI can be integrated to optimize these environments. Proficiency in cloud capabilities (public, private, and hybrid) , with a focus on AI deployment and management within these frameworks. Knowledge of network More ❯

seek those looking to make a severe impact and are excited about working in a high-growth startup. We ship fast, continuously, and iteratively, learning each step. We are data-informed. And are ok with finding the data when it's missing. Our products We have a suite of API products that automate tax-related workflows for any … internet company. Those products are Lookup , Tax , Returns , Data sharing and E-Invoicing . We may discover novel customer needs as we learn and spin up new products as required. Our API docs For you as an engineer, API documentation is probably an important part when considering a new career move. Thanks to the API docs, you can recognise … product features across the stack, from back-end business logic implementation to front-end customer-facing interfaces. You would be a great fit if You have experience working with data scientists and data engineers. You have a good understanding of how machine learning works and can bring this expertise to Fonoa. You have experience working with LLMs, including More ❯

seek those looking to make a severe impact and are excited about working in a high-growth startup. We ship fast, continuously, and iteratively, learning each step. We are data-informed. And are ok with finding the data when it’s missing. Our products We have a suite of API products that automate tax-related workflows for any … internet company. Those products are Lookup , Tax , Returns , Data sharing and E-Invoicing . We may discover novel customer needs as we learn and spin up new products as required. Our API docs For you as an engineer, API documentation is probably an important part when considering a new career move. Thanks to the API docs, you can recognise … product features across the stack, from back-end business logic implementation to front-end customer-facing interfaces. You would be a great fit if You have experience working with data scientists and data engineers. You have a good understanding of how machine learning works and can bring this expertise to Fonoa. You have experience working with LLMs, including More ❯

remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and … leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. … product strategy, roadmap development, and agile methodologies Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Passion More ❯

remote members, through the entire product lifecycle. Take ownership of product discovery, strategic roadmaps, and execution while aligning them with business goals and customer needs. Collaborate with designers, engineers, data scientists, and other key stakeholders to develop new features and optimize existing products. Prioritize new features and enhancements using robust product management frameworks. Conduct in-depth user research and … leverage data insights to define problems and validate solutions. Drive decision-making by setting clear priorities and using data (quantitative and qualitative) to measure success. Communicate product strategy, status updates, and potential risks to executive leadership and internal teams. Cultivate solid connections between the sales, marketing, and customer service departments to promote product-focused mindsets across the enterprise. … product strategy, roadmap development, and agile methodologies Demonstrated experience working in cross-functional teams and leading through influence, not authority. Expertise in user research, A/B testing, and data analysis to guide decision-making and product development. Skilled in critical assessment and oversight, with expertise in setting up and supervising key performance indicators and measures of achievement. Passion More ❯