1,551 to 1,575 of 2,893 Permanent Data Science Jobs

will directly influence who we serve, how we grow, and how we deliver sustainable value. Key Responsibilities Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build deep insight into marketing campaign … Stay abreast of industry trends and competitor activity to ensure our products remain fit for purpose. Financial forecasting & portfolio analytics: Collaborate closely with the Credit Risk Analytics, Growth and Data Science teams to understand how our products and portfolio are performing at a granular sub-segment level. Define key KPIs and develop detailed monitoring to track performance against … ambiguity to assess the feasibility of new product, channel and segment expansion opportunities. Create robust commercial assessment frameworks, build tooling where necessary (e.g. RoI or NPV models) and extract data to support these assessments and deliver clear, insight-driven recommendations. Influence & execution: Collaborate with stakeholders across Credit Risk, Data Science, Product and Growth to bring your strategies More ❯

with the AI community and stay updated with the latest developments in AI. Candidate Profile Essential skills: Bachelor's, Master's, PhD, or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related fields. Proficiency in deep learning frameworks like PyTorch or JAX. Strong Python software development skills (knowledge of C++ or other languages is … work status If your right to work status is not included in the list, please share some context LinkedIn Profile How did you hear about this role? UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. … This data will be anonymised for statistical purposes only and will not impact your application. Your responses will remain confidential and will not be used in any way regarding your application. We are only using this data to improve our hiring process to be inclusive of all backgrounds. What is your ethnicity? Do you consider yourself to have More ❯

with the AI community and stay updated with the latest developments in AI. Candidate Profile Essential skills: Bachelor’s, Master’s, PhD, or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related fields. Proficiency in deep learning frameworks like PyTorch or JAX. Strong Python software development skills (knowledge of C++ or other languages is … work status * If your right to work status is not included in the list, please share some context LinkedIn Profile How did you hear about this role? * UK Demographic Data We take pride in our commitment to creating an inclusive and diverse workplace. As part of our recruitment process, we ask for confidential diversity data from all applicants. … This data will be anonymised for statistical purposes only and will not impact your application. Your responses will remain confidential and will not be used in any way regarding your application. We are only using this data to improve our hiring process to be inclusive of all backgrounds. What is your ethnicity? * Do you consider yourself to have More ❯

Augusta, GA 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. We are looking for … development activities including daily standups, sprint planning, and more Develop and maintain software documentation and configuration using tools like Git, Maven, and Nexus Requirements: Bachelor's degree in Computer Science or related field Mid-level candidates: 3-8 years of relevant experience Senior-level candidates: 9-13 years of relevant experience SME-level candidates: 14+ years of relevant experience … an active Secret clearance; will accept higher clearance such as Top Secret, TS/SCI, and/or TS/SCI with CI Polygraph Desired Experience: Experience with distributed data platforms and streaming tools (e.g., NiFi, Kafka) - Hands-on experience with cloud platforms such as AWS or Azure Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) Experience with NoSQL More ❯

Augusta, GA 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. We are looking for … development activities including daily standups, sprint planning, and more Develop and maintain software documentation and configuration using tools like Git, Maven, and Nexus Requirements: Bachelor's degree in Computer Science or related field Mid-level candidates: 3-8 years of relevant experience Senior-level candidates: 9-13 years of relevant experience SME-level candidates: 14+ years of relevant experience … an active Secret clearance; will accept higher clearance such as Top Secret, TS/SCI, and/or TS/SCI with CI Polygraph Desired Experience: Experience with distributed data platforms and streaming tools (e.g., NiFi, Kafka) - Hands-on experience with cloud platforms such as AWS or Azure Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) Experience with NoSQL More ❯

TOCs) that are already under public ownership - these are LNER, Northern, TransPennine Express (TPE), Southeastern and South Western Railway (SWR). About the Position: To lead DFTO’s IT, data, and cybersecurity across DFTO as an entity, and have a strategic view of these across all TOCs. The CIO is responsible for overseeing the design, implementation, and optimisation of … the Group’s IT infrastructure which is currently quite fragmented, establishing a robust data function, and enhancing the company's cybersecurity resilience. The CIO ensures that the company’s expanding network is supported by forward looking technologies, data-driven insights, and secure systems. The CIO is also responsible for fostering cross-functional collaboration to support DFTO’s growth … TOCs, and external partners. Effectively engages others to promote collaboration and achieve strategic objectives. Planning and Execution: Excels at creating and implementing detailed, effective plans for IT, cybersecurity, and data strategy development that align with DFTO’s growth objectives. Capable of designing scalable and robust solutions to meet current and future demands. Analytical Skills: Proficient in analysing data More ❯

client success. Attend client meetings and eventually transition to a hybrid work model (2 days in-office, London). 🔑 What We're Looking For: Proven experience in econometrics and data analysis using tools like R or Python. Exceptional communication skills to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. A … degree in a quantitative discipline (e.g., economics, data science, or statistics) and relevant industry experience. More ❯

client success. Attend client meetings and eventually transition to a hybrid work model (2 days in-office, London). 🔑 What We're Looking For: Proven experience in econometrics and data analysis using tools like R or Python. Exceptional communication skills to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. A … degree in a quantitative discipline (e.g., economics, data science, or statistics) and relevant industry experience. More ❯

a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. Over the past few years, we've made significant investments in our data and tech capabilities, particularly within our CIO function. Our CIO team is at the forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We've … development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organisation. You will collaborate closely with cross-functional teams, including Data Science, Engineering, Product, and Business stakeholders, to understand complex business challenges and identify opportunities where AI can deliver measurable impact. You will lead the end-to-end lifecycle … of AI initiatives - from problem framing and data exploration to model development, deployment, and monitoring - ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex More ❯

5+ years of relevant professional experience with Bachelor's, 3+ with Master's or none with a PhD Education: Bachelor's or Master's degree in Software Engineering, Computer Science, Information Systems, or related field Security: Current/active TS/SCI clearance with CI polygraph or willingness to take one. Background investigation required, including a minimum of a … be willing and able to pass a CI polygraph • Ability to work in both classified and unclassified environments on location 5 days a week • Bachelor's degree in Computer Science, Information Systems, or related discipline (4 years of additional experience may be substituted for a degree) • 5+ years of experience in database engineering, database performance optimization, and configuration management … maps to custom software. Pelagic AI was founded by industry visionaries, each boasting decades of experience in the AI landscape. Our roots trace back to the early days of data mining, and our journey has encompassed pioneering work in modeling and simulation, algorithmic development, data science, machine learning, and generative AI. With a collective wealth of knowledge More ❯

scale our AI capabilities from the ground up.This is a high-impact opportunity to shape our approach to AI, lay strong foundations, and work at the intersection of engineering, data science, and product. What You'll Be Doing Own the end-to-end lifecycle of ML-powered features - from problem definition and data exploration to model training … deployment, and monitoring Help build the foundations and define the future of ML at Primer. where you'll have influence from day one. Collaborate with product, data, engineering and platform teams to identify and prioritise impactful ML use cases Design and build core ML infrastructure including versioning, CI/CD, and observability tooling Work across teams and functions as … evolving toward technical leadership or people management, we'll support your growth every step of the way What We're Looking For 6+ years of experience in ML engineering, data science, or applied research Familiarity with payments or e-commerce - this is essential as you'll be the domain expert from day one. Excellent Python programming skills and More ❯

5+ years of relevant professional experience with Bachelor's, 3+ with Master's or none with a PhD Education: Bachelor's or Master's degree in Systems Engineering, Computer Science, Information Systems, or related field Security: Current/active TS/SCI clearance with CI polygraph or willingness to take one. Background investigation required, including a minimum of a … and able to pass a CI polygraph • Ability to work in both classified and unclassified environments on location 5 days a week • Bachelor's degree in Systems Engineering, Computer Science, Information Systems, or related field (4 years of additional experience may be substituted for a degree) • 5+ years of experience in systems engineering • Experience in developing technical and user … maps to custom software. Pelagic AI was founded by industry visionaries, each boasting decades of experience in the AI landscape. Our roots trace back to the early days of data mining, and our journey has encompassed pioneering work in modeling and simulation, algorithmic development, data science, machine learning, and generative AI. With a collective wealth of knowledge More ❯

operational efficiency, utilizing the latest in machine learning, natural language processing, and predictive analytics. 3. Technology Integration: Seamlessly integrate AI solutions with existing enterprise systems and platforms, ensuring robust data analytics capabilities and operational effectiveness. 4. Client Collaboration: Establish strong, consultative relationships with clients, understanding their unique challenges and opportunities to deliver tailored AI solutions. 5. Leadership & Talent Development … organization. 10. Change Management: Lead change management efforts to ensure the successful adoption of AI technologies, addressing cultural and operational shifts required for transformation. Qualifications: - Advanced degree in Computer Science, Data Science, AI, or related field. - Minimum of 10 years' experience in AI and machine learning, with a focus on the Pharmaceutical and MedTech industries. - Proven track More ❯

/or Counterparty Credit Risk with an in-depth understanding of CRR regulatory requirements and upcoming Basel. Successful candidates will also bring technical skills in Python, SQL, Tableau, and data analytics, along with professional certifications like CPA, CIA, FRM, or CFA. Excellent communication, analytical, and interpersonal skills are critical for collaborating with teams, influencing stakeholders, and delivering high-quality … Finance, Risk Management, or a related field Relevant professional certifications such as CPA, CIA, FRM, or CFA, or equivalent career experience in audit or risk management roles Proficiency in data analytics and coding, with experience in tools like Tableau, Python, SQL, and other data science techniques Excellent communication, analytical, and interpersonal skills to collaborate effectively with stakeholders More ❯

time - Onsite Who we are: We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining … relationships and collaborating with Senior Leaders across the business to shape a strategy that delivers models that provide our traders with a competitive edge. Using Dare's proprietary trading data and models to drive trading PNL. Developing trading indicators and strategies powered by machine learning. Partnering with quantitative research and algorithmic trading technology teams. Collaborating with the CEO and … other senior stakeholders to combine domain knowledge with engineering expertise. What you'll bring 3+ years experience in machine learning algorithms, software engineering, and data mining models, withlarge language modelling (LLM) experience being advantageous. A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical and statistical fundamentals More ❯

time - Onsite Who we are: We are an energy trading company generating liquidity across global commodities markets. We combine deep trading expertise with proprietary technology and the power of data science to be the best-in-class. Our understanding of volatile, data-intensive markets is a key part of our edge. At Dare, you will be joining … relationships and collaborating with Senior Leaders across the business to shape a strategy that delivers models that provide our traders with a competitive edge. Using Dare's proprietary trading data and models to drive trading PNL. Developing trading indicators and strategies powered by machine learning. Partnering with quantitative research and algorithmic trading technology teams. Collaborating with the CEO and … other senior stakeholders to combine domain knowledge with engineering expertise. What you'll bring 3+ years experience in machine learning algorithms, software engineering, and data mining models, withlarge language modelling (LLM) experience being advantageous. A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical and statistical fundamentals More ❯

integral role on the trading floor. Your responsibilities may include creating quantitative models to identify unseen market trends, utilizing statistical tools to assist clients in portfolio analysis, and analyzing data to inform product development and business strategies. Strategists in this division leverage quantitative and technological techniques to solve complex business problems. This dynamic, entrepreneurial team thrives in fast-paced … and analytics. The platform is a market leader and has received five awards over the past three years. The Marquee Sales Strats Team The team conducts quantitative analysis and data-driven insights on financial markets and platform trends, collaborating with Sales, Trading, Engineering, Product, Design, and clients. The global team comprises experts in financial markets, products, structuring, technology, and … data science. HOW YOU WILL FULFILL YOUR POTENTIAL At Goldman Sachs, our engineers make things possible by connecting people and capital with ideas and technology. We seek creative collaborators who adapt, evolve, and thrive in a fast-paced global environment. As a Marquee Sales Strategist, you will develop models to generate analytics that enhance client service, partnering with traders More ❯

integral role on the trading floor. You may create quantitative models to uncover unseen trends in markets, use statistical tools to assist clients in analyzing their portfolios, and analyze data to help shape product development decisions and business strategy. Strategists in the division use quantitative and technological techniques to solve complex business problems. This is a dynamic, entrepreneurial team … analytics. It is a market leader, having won 5 awards over the past 3 years. The Marquee Sales Strats Team The team performs quantitative analysis, working with models and data to provide insights on financial markets and platform trends. We collaborate with Sales, Trading, Engineering, Product, Design, and other areas of the division, as well as with clients. Our … global team includes experts in financial markets, products, structuring, technology, and data science. HOW YOU WILL FULFILL YOUR POTENTIAL At Goldman Sachs, our engineers make things possible by connecting people and capital with ideas and technology. We seek creative collaborators who adapt and thrive in a fast-paced global environment. As a Marquee Sales Strategist, you will design models More ❯

We are looking for an experienced Senior Database Engineer to design our data infrastructure. You will develop scalable, and secure database solutions that support our business applications and analytics platforms. Reporting into VP Architecture you will work with engineering, data science, and DevOps teams to ensure data integrity, performance, and availability across the organization. What you … ll do: Design and implement scalable database architectures for transactional workloads. Develop data models, schemas, and storage strategies that align with business requirements and performance goals. Define database standards, best practices, and governance policies. Collaborate with application developers and data engineers to improve queries, indexing strategies, and data access patterns. Lead database migration, replication, and backup/… and on-prem environments. Monitor database performance, ensuring high availability and disaster recovery readiness. Recommend new database technologies, and platforms. Provide technical leadership and mentorship to database administrators and data engineers. About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and More ❯

We are looking for an experienced Senior Database Engineer to design our data infrastructure. You will develop scalable, and secure database solutions that support our business applications and analytics platforms. Reporting into VP Architecture you will work with engineering, data science, and DevOps teams to ensure data integrity, performance, and availability across the organization. What you … ll do: Design and implement scalable database architectures for transactional workloads. Develop data models, schemas, and storage strategies that align with business requirements and performance goals. Define database standards, best practices, and governance policies. Collaborate with application developers and data engineers to improve queries, indexing strategies, and data access patterns. Lead database migration, replication, and backup/… and on-prem environments. Monitor database performance, ensuring high availability and disaster recovery readiness. Recommend new database technologies, and platforms. Provide technical leadership and mentorship to database administrators and data engineers. About Experian Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and More ❯

and customer support, to gather feedback, align roadmaps, and ensure successful product launches. This role involves significant interaction with commercial teams. Performance Monitoring : Monitor and analyze product performance, using data-driven insights to improve functionality and user experience. Qualifications Education : Bachelor's degree in Computer Science, or a related field. Experience : 7+ years experience in product management, preferably … least three of the following products/technologies: Product Recommendations Search & Merchandising Large Language Models (application in fashion-related tasks) Computer Vision/Image Recognition A/B Testing Data Science Pipelines Content Personalization (CMS, DXP) Communication Skills : Strong communication skills (verbal and written), with comfort and experience in public speaking, essential for cross-domain collaboration and interaction More ❯

on payment operations. Conduct audits, risk assessments, and compliance checks for continuous improvement. Fraud Prevention & Risk Reduction Manage fraud prevention strategies, balancing risk reduction with revenue growth. Collaborate with data science teams to optimise AI-driven fraud detection. Define and execute the Risk Reduction Roadmap with innovative strategies. Monitor transaction patterns to identify and prevent fraudulent activity. Product … Identify gaps in fraud tools and propose enhancements, including real-time monitoring dashboards and automated chargeback solutions. Partner with engineering teams to implement secure, scalable risk management systems. Use data analytics and machine learning to predict and prevent fraud. Payments Strategy & Partnerships Work closely with finance, product, and engineering teams to support business growth. Respond to third-party compliance … and reduce failed payments through strategic planning. Reporting & Communication Provide regular risk exposure forecasts and chargeback analysis. Communicate compliance updates and risk reduction strategies across the business. Generate clear, data-driven reports on payment trends and compliance performance. Advise internal teams on best practices for payment compliance. What Youll Need 5+ years of experience in payment compliance, risk management More ❯

We are looking for a Research Scientist to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets. The Impact Your algorithms will directly unlock financial opportunities for millions of people across Africa who've been excluded from traditional banking. We've already helped over 5 million customers access $1.5 … financial access What You Need Hands-on experience or Academic Publication in generative models (VAEs, GANs, diffusion models, or related methods) Advanced expertise in mathematics, statistics, and theoretical computer science Experience with deep learning, reinforcement learning, or specialised Machine Learning domains Experience with structured or unstructured data Proven ability to translate research into scalable algorithms Ideally a publication … UTC -1/UTC+3) with a diverse group of other employees working remotely from locations such as UK, Europe and Africa. You will be reporting to the Head of Data Science. Why M-KOPA? At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual More ❯

s tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and performance. Key responsibilities include: Managing … and optimising existing ML model deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing robust CI/CD pipelines … high-performance, scalable backend systems and APIs. Knowledge of systems programming concepts: memory management, concurrency, performance optimization. Familiarity with ML system architecture and computational requirements (model serving, training infrastructure, data processing pipelines). Experience with cloud platforms (AWS preferred) and distributed systems. Proficiency with containerization (Docker) and orchestration tools (Kubernetes). Strong experience with version control systems (Git) and More ❯

project developing Digital Twins for rare diseases. This is a unique opportunity to work at the intersection of systems biology, AI, and translational research, and to contribute to open science through the Chan Zuckerberg Initiative. Your group Petsalaki Group, in collaboration with Open Targets and BioModels teams. The project Digital Twins are virtual representations of patients that simulate disease … progression and treatment response. Rare diseases pose a unique challenge due to limited patient data-especially at the single-cell level-making traditional modelling approaches difficult. This project tackles that challenge by integrating multi-omics and clinical data using hybrid models combining mechanistic, GenAI, and machine learning approaches. You'll contribute to building disease-specific Digital Twins using … work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You will develop and apply methods to transform omics data into networks and executable models, collaborating closely with experts across the Petsalaki and Sheriff groups, Open Targets, EMBL-EBI, and the wider rare disease and biocuration community. You will More ❯