1 to 25 of 27 Data Science Jobs in Bournemouth

Social network you want to login/join with: Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite … Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence. About the Role We are seeking a highly motivated and experienced AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context … management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative More ❯

and provide an adventure where you can push the limits of what's possible. As a Senior Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable … of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills Formal training or certification (MS and/… or PhD) in Computer Science, Machine Learning, or a related field, with applied machine learning concepts experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language 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 ❯

career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable … proof of concept, experimentation, and production-ready solutions. Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrate Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills MS and/or PhD in Computer … Science, Machine Learning, or a related field, with applied machine learning experience. Experience in programming languages like Python, Java, C/C++, with intermediate Python proficiency. Experience applying data science and ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs). Hands-on experience with machine learning and More ❯

teammates who drive continual improvement and innovation, supporting clients towards self-sufficiency with out-of-the-box capabilities and expert practitioners. The Role Are you passionate about transforming raw data into meaningful insights? We seek a talented Fabric/Data Consultant with expertise in Azure and Power BI to join our dynamic team. This role is ideal for … someone enthusiastic about working with cutting-edge technology, developing robust data architectures, and leading strategic business intelligence initiatives. If you're eager to help organizations unlock their data’s potential, we want to hear from you. Proven experience in data engineering, with exposure to Azure Synapse, Azure Data Factory, or Databricks. Familiarity with Microsoft Fabric or … a strong willingness to learn. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science, with a desire to expand into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities for a consultancy environment. Experience in data More ❯

career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable … of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required qualifications, capabilities, and skills MS and/or PhD in Computer … Science, Machine Learning, or a related field, with applied machine learning experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience More ❯

career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the AI and Machine Learning Data Platform Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable … of concept/experimentation and production-ready solutions. Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions. Integrates Generative AI within the ML Platform using state-of-the-art techniques. Required Qualifications, Capabilities, And Skills MS and/or PhD in Computer … Science, Machine Learning, or a related field, with applied machine learning experience. Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must. Experience in applying data science, ML techniques to solve business problems. Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs) Hands-on experience More ❯

Social network you want to login/join with: Head of Data Engineering & Governance, bournemouth col-narrow-left Client: Data Science Talent Location: bournemouth, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Head of Data Engineering & Governance Investment & Wealth … our client began to focus solely on wealth management. But now? This company – a trusted name in the UK financial services sector – fully recognise this. They understand that embracing data and AI is what will continue to position them at the forefront of the UK’s investment management sector. This isn’t a dalliance with data. It’s a … no debate about the direction, fighting for investment or dragging people with you. Now, following a recent acquisition, they’re ready to embark on the next phase – transforming the data and harnessing its power. And that’s where you come in. Where you fit in As one of three new leaders in the newly established Group Data function More ❯

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand … for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector More ❯

Social network you want to login/join with: Role Profile: Technical Product Manager – Horizon Customer Data Platform (CDP) Role Summary: We are seeking a dynamic and technically strong Technical Product Manager (TPM) to lead the development and evolution of our Horizon Customer Data Platform (CDP). This platform is the cornerstone of our customer data strategy … integrating data from multiple sources to provide unified single customer views, data science models, actionable insights, reporting and personalized experiences across channels. The TPM will work at the intersection of engineering, data, and business to define and execute the roadmap, ensure robust data integrations, enable analytics capabilities, and maintain compliance and governance standards. Key Responsibilities … and roadmap for Horizon CDP in alignment with company goals. Prioritize features and improvements based on customer needs, competitor landscape, business value, technical feasibility Technical Leadership Collaborate closely with data engineering, architecture, data science and activation teams to design scalable and robust platform with market leading features Evaluate and guide technical decisions including API design, data More ❯

systems. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets to continuously improve software applications and systems. Proactively identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture. Contribute … concepts and proficient applied experience. Hands-on practical experience in system design, application development, testing, and operational stability. Proficient in coding in Python. Proficient in the use of basic data science libraries in Python (NumPy, pandas, scikit-learn, pyspark). Experience in developing, debugging, and maintaining code in a large corporate environment with modern programming languages and database More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £60,000 per year. Pay is based on relevant experience, skills for the role … our total reward package. About You Your role will vary day to day, but here is a bit of what you can expect: Identifying trends, making links in the data, providing actionable insight, communicating and presenting results to key stakeholders of Pricing & U/W and Trading groups. Co-ordinating key outputs from Pricing & U/W and Trading … to be produced on a regular basis to ensure consistency. Regularly reviewing pricing and underwriting monitors, ensuring key points and changes in trends are escalated. Continually looking to improve data, processes and reporting by providing a consistent view. Getting hands-on with data from its source right through to analysis and reporting, choosing the right software tool for More ❯

Social network you want to login/join with: We are working with an exciting Tech company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company's aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce. You’ll be at the forefront More ❯

the delivery of high-impact Automation and AI/ML enabled solutions that create efficiencies and align the business to the target operating model. Projects may include Intelligent Automation, Data Transformation, Data Visualization, Data Digitization, Artificial Intelligence (such as LLM, NLP, & Gen AI) and various other initiatives. The role provides the opportunity to innovate through cutting edge … assessment, solution design, development, testing, deployment, and continuous improvement, while adhering to the firm’s standards, controls, and governance. Engage experts across cross-functional groups (including Operations, Technology, Controls, Data Scientists) to build solutions using AI and Intelligent Solutions tools, including Alteryx, Tableau, UI Path, and low code Workflows Develop As-Is and To-Be process flows using BPMN … as Signavio) to facilitate process analysis, improvement, requirement gathering and solution design Ensure compliance of Intelligent Automation (IA) builds against governance standards and any applicable risk requirements (e.g., JIRA, Data Use Council) Engage on a regular basis with senior Operations executives to communicate progress, highlight risks, and foster collaboration by advising on solution design and project management support to More ❯

At Travelex we are developing modern data technology and data products. Data is central to the way we define and sell our foreign currency exchange products. Our relationship with our customers is deeply data-driven. The data engineering manager ( DEM ) owns the design and delivery of all data flows to and from our data platform, underpinning crucial data products. The DEM is responsible for a significant transformation Travelex is going through, with event-driven and transactional enhancements to our enterprise data architecture, alongside expansion of our data warehousing function to support a wide range of data integrations. Main Responsibilities: Work with the Director of Data Engineering and IT … Leadership to enhance the company's data maturity. Maintain strong business alignment by engaging with leaders across domains and geographies. Ensure data engineering initiatives match evolving business priorities. Promote a product mindset, balancing technical efficiency with clear business value. Online job hunting tools Team Management Lead the Data Engineering team, providing supervision, coaching, and professional development. Work More ❯

Posted: 26.06.2025 Expiry Date: 10.08.2025 col-wide Job Description: Job Title: ML Engineering Trainer Location: Fully Remote Job Type: Permanent Role Overview: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/… practices. Key Responsibilities: Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow … services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material up to date with current Data Science/AI/ML industry trends, tools, and techniques. Support learners with career development and technical confidence. Required Skills & Experience: Strong coding experience in Python and the More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £63,000 per year. Pay is based on relevant experience, skills for the role … role will vary day to day, but here is a bit of what you can expect: Assisting in planning and carrying out risk model updates – continually looking to improve data and processes Working with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes Getting hands-on with data from … its source right through to modelling and then implementation in rating Analysing data, interpret output and communicate results to a non-technical audience Building and testing Statistical models and machine learning algorithms Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance model. Essential Skills We don't expect More ❯

DataCamp, Databricks Academy, and LinkedIn Learning. Additionally, we host Lunch and Learn sessions on key business topics hosted by experts across the team and monthly insight sessions, including the Data Science Forum and analyst forum, to refine your technical skills. Salary Information Pay: Circa £63,000 per year. Pay is based on relevant experience, skills for the role … role will vary day to day, but here is a bit of what you can expect: Assisting in planning and carrying out risk model updates – continually looking to improve data and processes Working with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes Getting hands-on with data from … its source right through to modelling and then implementation in rating Analysing data, interpret output and communicate results to a non-technical audience Building and testing Statistical models and machine learning algorithms Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance model. Essential Skills We don't expect More ❯

will support both technical and non-technical stakeholders to deploy ML to solve real-world problems. To enable this, we work in cross-functional teams with representation from commercial, data science, product management and design specialties to cover all aspects of AI product delivery. The Machine Learning Engineering team is responsible for the engineering aspects of our customer … software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems; Working with our customers to help understand their needs; Working with data scientists and engineers to develop best practices and new technologies; Implementing and developing Faculty’s view on what it means to operationalise ML software. We’re a rapidly growing … are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include: Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems. Leading on the scope and design of projects. Offering leadership and management to more junior engineers on the More ❯

Social network you want to login/join with: Sports Modelling Data Scientist (relocation to Costa Rica), bournemouth col-narrow-left Client: Exacta Solutions Ltd Location: bournemouth, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: About the Job Our client is seeking … a Data Scientist with a strong focus on Sports Modelling to join their Research & Development team. You will play a key role in enhancing and developing state-of-the-art sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions … and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise in data shaping, preprocessing, and feature engineering . Excellent command of English , both written and spoken. Prior experience in the iGaming or sports modelling industry is a strong advantage. What’s More ❯

Social network you want to login/join with: Data Scientist – Inventory & Pricing Analytics Location: Manchester (Hybrid – 2 days onsite) The Company A global content powerhouse is building a next-generation analytics hub, reshaping how millions interact with digital media across publishing, audio, and out-of-home platforms. With data at the core of their strategic direction, they … are expanding their team and hiring a Data Scientist to focus on optimising one of their largest revenue streams—advertising inventory. The Role As a Data Scientist – Inventory & Pricing Analytics, you will play a pivotal role in optimising the company's advertising inventory, pricing models, and revenue performance. You will work across datasets covering sales activity, inventory levels … models based on supply, demand, seasonality, and campaign data. Deliver actionable insights that maximise revenue opportunities across multiple media channels. Collaborate with commercial, sales, and supply teams to embed data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. More ❯

re looking for a Legal AI Engineer who’s passionate about building intelligent systems at the intersection of law and machine learning. You’ll work closely with legal experts, data scientists, and product managers to develop AI features that tackle real legal challenges through the use of agentic GenAI. As Legal AI Engineer you will: Design and implement AI … from unstructured legal data. Collaborate with legal SMEs to translate domain knowledge into scalable machine learning solutions. Continuously evaluate model performance, ensuring accuracy, fairness, and compliance. Help shape the data pipeline and MLOps practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). More ❯

Social network you want to login/join with: This cutting-edge AI company is transforming the hospitality industry through intelligent, data-driven solutions that help hotels optimize revenue and operations in real time. As part of a dynamic, independent division, this role will play a pivotal part in powering the predictive engine behind smarter pricing decisions. THE ROLE … world. Specifically, you can expect to be involved in the following: Leading the design and maintenance of scalable infrastructure (Kubernetes, GCP) for ML-powered pricing systems Collaborating closely with Data Science teams to understand, support, and productionize predictive models Contributing hands-on to Python-based codebases, especially within data science contexts Providing light-touch line management … to a capable and largely autonomous team Driving technical excellence and being the go-to technical leader within the Science Platform team SKILLS AND EXPERIENCE The successful Software Engineering Manager will have the following skills and experience: Strong recent experience with Kubernetes, auto-scaling systems, and infrastructure on GCP Proficiency in Python, particularly in data science and More ❯

cloud environment. The Product OCI Functions is a fully managed, multi-tenant, highly scalable, on-demand, Functions-as-a-Service platform, deployed in dozens of commercial, government and private data centres around the world. The Functions deployment model is extremely flexible, allowing it to support a wide variety of use cases. OCI Functions is rapidly becoming the platform of … choice for Oracle SaaS workloads, backs the API Gateway for serving customer applications, as well as supporting Data Science processing use cases. The Positions Senior Software Engineer As we expand and grow our team, we are seeking engineers with varying levels of experience. Those who are starting their career with us will have a hunger and passion for … code in Java, Python, Go Lang or another modern programming language. Working with containerisation and virtualisation technologies such as Docker, containerd and Kubernetes. Deploying and operating your software in data-centres across the globe. Analysing, diagnosing and debugging issues across a full breadth of our stack Debug, maintain and improve existing systems, with a focus on performance and reducing More ❯

Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. More ❯