1 to 17 of 17 Permanent Data Science Jobs in the City of London

Data Scientist | 100% REMOTE | Up to £65,000 DOE Our Client is an internation CO Development, games studio, seeking an experienced Data Scientist to support the studio in new ways to capture, store, manipulate and analyse data for their clients. The Data Scientist will interpret complex … data set to create predictive models and make data-driven decisions. A commercial background in Data science with strong SQL and Python/R skills is essential. REQUIREMENTS: Minimum 4+ years Data Sciences Experience Strong SQL/T-SQL/U-SQL/KQL and … Python/R skills Experience creating predictive models Strong knowledge of ML solutions Experience working with large data sets and loves to work with data Strong communication skills ( strong command of the English language is essential ) Nice to have but not essential: Working knowledge of basic web technologies more »

About the job My client is seeking a dynamic Lead Data Engineer with robust data architecture and warehousing skills to lead their Data Engineering team. Being a leading financial institution, data fuels their operations and growth. being pivotal in ensuring data is expertly modelled, ingested … transformed, and accessible organisation-wide. Responsibilities: Team Leadership: Mentor and develop our Data Engineering team. Strategy Development: Shape and implement our data engineering strategy. Data Architecture: Define and implement solutions within our Data Vault framework. Cross-Functional Collaboration: Partner with data science, credit risk … and analytic teams to meet their data needs. Customer Data Platform: Manage our Rudderstack-based platform for comprehensive Customer 360 views. Quality Assurance: Ensure CI/CD and test automation with robust observability. Cost Management: Optimise data platform costs within budget. Supplier Management: Maintain strong relationships with more »

across EU. We are looking for a Sr. DSP Insights Manager who is ready to roll up their sleeves and help us develop actionable, data-driven insights, using various quantitative tools and core project management skills. Key job responsibilities Core responsibilities include : Managing our organizations AWS account, including a … data warehouse in Redshift. Manage permissions structure by eg administrating IAM settings. Owning reporting for strategic roadmaps by working with business leaders; driving expansion and optimization of new business units in our DSP program. Developing and maintaining performance dashboards with key metrics for review with senior leadership and business … teams; synthesizing large quantities of data to help create new, step-change initiatives for the organization. Onboarding data to our data warehouse by building automated data pipelines utilizing eg Python in Lambda or Sagemaker to invoke API calls. Using statistical techniques and tools for strategic deep more »

Head of Machine Learning and Data Science Centre of Excellence - Remote - United Kingdom Role Overview: The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and large language model (LLM) solutions. These solutions will leverage structured and unstructured data to automate workflows … into a technology-driven powerhouse by fostering innovation and driving business growth. Key Responsibilities: Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with overall business objectives and tech enablement goals. Build and lead a high-performing, cross-functional team of … ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions into impactful projects. Ensure data more »

Job Overview Position: Senior Data Engineer In this role, you will be responsible for storing, processing, modeling, and applying data science to ensure that data and insights are available for data analytics and business intelligence (BI) systems. You must be proficient in data assessment … and profiling, source system analysis, and providing a clear vision for processing and interpreting data to support its end-use. Ideal Candidate Profile The ideal candidate will have a background in Data Engineering or Data Warehousing (Data Engineer/DW Developer) with robust DW development and … ETL/ELT data pipeline experience, along with expert knowledge of SQL. Key Skills - Mandatory Strong data modeling and SQL/database design skills Proficiency in ETL/ELT processes Extensive experience with Python Excellent numerical, analytical, and statistical skills Ability to visualize and present data and more »

How can we quickly deliver the robust legacy system interfaces needed by our Agile development teams? What do I need to do to integrate data science models into our production business processes and unlock the value of our data? These are the types of questions that you … AWS technology stack to underpin a great UX visualising the flightpaths of every plane in the world – as well as analysing huge quantities of data to improve fuel efficiency, reducing costs and environmental impact. Our architects have always been at the centre of our engagements, managing technical risk and more »

Morgan Hunt is working with a leading and reputable organisation to recruit a Data Architect on a permanent basis. This position can be worked through a hybrid model and there are offices in London, Manchester, Bristol, or Cheltenham. Salary: £30k - £80k Candidates MUST hold active DV clearance in order … to be considered for this role. The role sits within the Data Intelligence department, consisting of 100 Data Consultants covering several data specialisms ranging from Data Strategy, Architecture and Governance to Data Science, Data Engineering, Artificial Intelligence and Machine Learning. They are currently … looking for Data Architects to help their clients across a wide range of industries in their mission to establish consistency and realise business benefit from data and information assets. They will be given the freedom and director level support to establish data agendas with clients where they more »

candidate sourcing, screening, and matching. 3. Collaborate with the recruitment team to identify areas where AI can improve efficiency and effectiveness. 4. Analyse recruitment data to identify trends and insights that can be leveraged to enhance decision-making. 5. Support the testing and refinement of AI models and algorithms … ensure optimal performance. 6. Provide training and support to recruitment team members on using AI tools effectively. Qualifications: - Currently pursuing a degree in computer science, data science, or a related field. - Familiarity with machine learning algorithms and AI technologies. - Strong analytical and problem-solving skills. - Excellent communication … closely with experienced professionals in the recruitment industry. - Opportunity to make a meaningful impact on the company's recruitment processes. - Develop valuable skills in data analysis, AI technology, and project management. This internship is ideal for individuals who are passionate about AI and its potential to revolutionize the recruitment more »

of our award-winning team at Sparta Global. About the Job You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles … including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information Engineer. You'll be designing, building, maintaining, and troubleshooting the data pipelines that enable organizations to store, process, and analyse their data, and ensuring the data is reliable through testing and debugging. … Looking for efficiencies and optimising the data pipelines for scalability and performance will be a focus. You'll be handling and working with large sets of structured and unstructured data and will be responsible for ensuring that the data is organized and available for data scientists more »

As a Quantitative Analyst, you will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable … initiative and as a team. You will ideally be educated to at least a MSc level in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. A PhD would be beneficial. Skills required: Ideally a MSc or PhD in Mathematics, Statistics, Data Science, Computer Science or Physics from Russell Group University Proficient in several of the following: Python, MATLAB, C++, R, C# Mathematical and statistical Modelling Quantitative Analysis experience within the sports trading industry is essential Excellent Mathematical skills Analytic mindset If you feel you have the skills and more »

a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as … Details Defining and developing the roadmap for claims predictive analytics aligned to our vision Working in collaboration with our operational, commercial, analytics and decision science teams to prioritise and sequence multiple use cases to maximise customer and commercial outcomes Translating the roadmap initiatives into requirements for our decision science … outcomes Skills we would love you to have Experience of the insurance industry and claims are advantageous, alongside previous experience of working alongside decision science teams and model delivery Experience of working in Agile environments and scum teams, working multiple projects simultaneously and organising/delivering at pace Ability more »

Data Engineer London - Hybrid working £55,000 - £60,000 A global leading HR staffing organisation based in London is currently looking to recruit a Data Engineer who will play a crucial role in designing, developing, and maintaining the data infrastructure that powers innovative solutions within the client. … We require an engineer who has a passion for data and has a good background in Azure, synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside … this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with cross-functional teams to understand data requirements and design efficient data pipelines. Develop and maintain scalable data models and databases. Design and implement data integration and ETL/ELT more »

their online platforms and APIs. This position involves both ongoing feature development and active participation in a programme focused on innovating and enhancing their data domain. You will require particular strength and experience with C# and React.js. Responsibilities: Develop and maintain application code as a hands-on full-stack … developer, supporting new product development, feature enhancement, and issue resolution. Collaborate within an agile Scrum team to deploy both backend large data solutions and frontend UX capabilities. Provide technical solutions aligned with business requirements in collaboration with Product Management and Business Analysts. Work closely with senior development and DevOps … team members to architect optimal solutions for data processing and platform delivery. Integrate and adopt AI/ML tools in collaboration with Data Science and Data Engineering teams. Mentor junior team members and review code outputs to ensure quality and adherence to coding standards. Qualifications and more »

data. Looking at why 0.1% of customers might say no or not respond to a campaign. This is about beingcreative in the use of data in a marketing context. For example - through the analysis you've carried out, making recommendations on how to improve targeting by looking at past … performance and applying this to future customer segmentation strategies, or working with the companys data science teams on next best action models and how they could be incorporated and activated into marketing activities to deliver value. Or creating data driven campaign strategies, leveraging new data assets … could lead to new customer journeys, or could be utilised to enrich existing campaigns which couldelevate their performance. Plus have the technical understanding of data tablesto be able to sit down with data engineers and IT teams to explain whats needed, how to get access to it,and more »

.NET, C#, Java, J2EE, Mobile, iOS, Android, Open Source, Front End, UI, UX, SQL Server, Oracle, Testing, Infrastructure, Support, ERP, SAP, Microsoft Dynamics, Salesforce, Data Science, AI, Artificial Intelligence, Cyber Security, Business Analyst, Project Manager, I.T. Recruitment Consultant) NOIRINTERNALREC more »

WHO WE ARE: We are a consultancy specializing in Insights & Growth, adept at discovering fresh avenues for our worldwide clientele using cutting-edge analytics, data science, and consulting on marketing strategy. Our mission is to assist brands in earning endorsement by comprehending the evolving landscape of Culture & Categories. … an expert team ready to provide guidance, brainstorm ideas, and introduce new concepts. Responsibilities: Analysing briefs and leading the development of methodologies Managing large data sets and translating them into compelling trends and actionable insights Identifying trends and themes in consumer attitudes, perceptions, and behaviours Leading and managing the … to create visually appealing and concise reports Presenting and clearly articulating analyses and findings to key stakeholders Ensuring deliverables meet the highest standards of data quality, reliability, and accuracy Serving as a mentor and quality leader for the team across all outputs Supporting and guiding Analysts on larger projects more »

projects that continually improve predictiveness and segmentation of statistical models of claims. You'll work across various products and channels using both, traditional and data science/contemporary techniques. What you'll be doing: Create, validate, and reconcile datasets for analysis and undertake analysis by writing and manipulating more »