Senior Data Scientist | Lead Data Scientist | Senior Data Engineer | Lead Data Engineer | Data Architect I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence and Telco. They have experienced impressive growth … and as a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country. They are currently looking for a Senior Data Scientist, this will be a blend of client facing skills aka, the ability to understand business problems, create a novel models/solutions to help that client and communicate More ❯
Senior Data Scientist | Lead Data Scientist | Senior Data Engineer | Lead Data Engineer | Data Architect I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence and Telco. They have experienced impressive growth … and as a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country. They are currently looking for a Senior Data Scientist, this will be a blend of client facing skills aka, the ability to understand business problems, create a novel models/solutions to help that client and communicate More ❯
Systems Architecture - AWS data engineer Job Description Location: UK - Will require travel to customer site ](Belfast) Job Summary: We are seeking a skilled and experienced AWS Data Engineer to join our team. The successful candidate will be responsible for implementing, and managing data architecture solutions for our customers, with a strong emphasis on Cloud technologies (Preferably AWS … and tooling. This role requires understanding of data modelling, database design, and data integration techniques. Key Responsibilities -Data Ingestion and Extraction: Design and implement efficient data ingestion pipelines to and from databases and file storage services. -Data Transformation and Cleaning: Transform and clean raw data to ensure data quality and consistency. -Data Pipelines: Build, maintain, and optimise data pipelines to automate data flows and enable real-time data processing. -Data Quality Assurance: Monitor data quality and implement measures to ensure data accuracy and completeness. -Database Administration: Manage and maintain databases (e.g., SQL, NoSQL) to ensure optimal performance and security. -Cloud Infrastructure: Deploy and manage dataMore ❯
Systems Architecture - AWS data engineer Job Description Location: UK - Will require travel to customer site ](Belfast) Job Summary: We are seeking a skilled and experienced AWS Data Engineer to join our team. The successful candidate will be responsible for implementing, and managing data architecture solutions for our customers, with a strong emphasis on Cloud technologies (Preferably AWS … and tooling. This role requires understanding of data modelling, database design, and data integration techniques. Key Responsibilities -Data Ingestion and Extraction: Design and implement efficient data ingestion pipelines to and from databases and file storage services. -Data Transformation and Cleaning: Transform and clean raw data to ensure data quality and consistency. -Data Pipelines: Build, maintain, and optimise data pipelines to automate data flows and enable real-time data processing. -Data Quality Assurance: Monitor data quality and implement measures to ensure data accuracy and completeness. -Database Administration: Manage and maintain databases (e.g., SQL, NoSQL) to ensure optimal performance and security. -Cloud Infrastructure: Deploy and manage dataMore ❯
Senior Data Scientist Location: London Salary: Up to £80,000 About the Company Our client is one of the UK’s fastest-growing fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the … ground up. With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with … serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems into data-driven solutions and clearly communicate insights. Collaborate with stakeholders and contribute to the team’s growing More ❯
Senior Data Scientist Location: London Salary: Up to £80,000 About the Company Our client is one of the UK’s fastest-growing fintech companies, revolutionizing consumer finance by making it faster, cheaper, and more transparent. Backed by leading investors and loved by customers, they’ve rebuilt key financial products like loans, credit cards, and car finance from the … ground up. With a strong foothold in the UK and US markets, they are challenging big banks and outdated systems with cutting-edge technology. The Role As a Senior Data Scientist, you’ll be at the heart of the business, developing state-of-the-art credit risk models to underpin loan and credit card products. You’ll work with … serves deployments and monitoring, without reliance on a separate ML engineering team. Key Responsibilities Develop proprietary risk models to improve underwriting quality and enhance decision-making. Understand the products, data, and strategies to effectively inform risk modelling. Translate business problems into data-driven solutions and clearly communicate insights. Collaborate with stakeholders and contribute to the team’s growing More ❯
Data Scientist Level: Senior Location: McLean, Virginia Clearance Required: TS/SCI Full Scope Polygraph Job Description The Sponsor seeks an experienced Data Engineer/Data Scientist with a strong foundation in PL/SQL, Java, AWS, BASH, Linux, and Oracle. The candidate will play a critical role in developing and optimizing data solutions that ensure … the secure and efficient storage of information. The role involves designing and implementing migration strategies, ensuring integration with corporate data standards, and supporting various mission-critical applications. Key Responsibilities: • Develop data architecture solutions for cloud and physical systems, ensuring secure and efficient data storage. • Analyze system requirements and develop strategies for migrating and integrating existing data. • Lead … trends in database technology, providing strategic recommendations to improve performance and scalability. • Conduct database performance evaluations, risk assessments, and financial feasibility studies. • Provide technical oversight for database upgrades, new data standards, and major design enhancements. • Serve as a lead technical resource for data model design, integration, and optimization. • Collaborate with other technical teams to ensure seamless integration of More ❯
CREAM : • 1/3 van Persoonlijke ontwikkeling • 1/3 van Collectieve Intelligentie • 1/3 van Intrapreneurship En het bonus ingrediënt: Enkele gepassioneerde collega's :-) Wat is een Data Engineer bij Cream? Als Data Engineer bij Cream kun je verantwoordelijk zijn voor de implementatie van BI Business Projects of mogelijk junior data engineers coachen. Daarnaast ben … je verantwoordelijk voor de ontwikkeling van data ingestion en analytics oplossingen (data warehouses, data marts, etc.). Jouw taken : Architectuur van datasystemen: Het ontwerpen van robuuste en schaalbare datamodellen om aan de bedrijfsbehoeften te voldoen. ETL-ontwikkeling: Creëren of verbeteren van efficiënte Extract, Transform, Load processen om data te integreren en te verwerken. Process optimalisatie: Data Pijplijnen en databases bewaken en fine-tunen voor optimale snelheid en efficiëntie. Implementatie van gegevensbeveiliging: Opzetten van data beveiligingsmaatregelen om gevoelige informatie te beschermen en compliance te garanderen. Samenwerking met verschillende profielen: Nauw samenwerken met data scientists, analisten en andere teams om de gegevens vereisten te begrijpen en technische oplossingen te bieden. HOE STELLEN WE ONS ONZE More ❯
Are you looking to kickstart your career in data? Join iO-Sphere's Data Analyst Experience Accelerator to land a job as a data analyst at a leading organisation! - Apply now to join our upcoming cohorts starting June 16th and August 18th: - Why choose iO-Sphere? We run a unique training programme - the Data Analyst Experience … Accelerator - that is designed to secure individuals their next career step and become a data analyst. Instead of a traditional classroom, you'll be part of the new data team at our fictional e-commerce company, "Prism." From day one, you'll build the experience that leading employers require while learning the technical (Excel, SQL, Power BI, Python … professional, and business skills that are needed for a career in data all the while learning how to use Ai to make you a future-ready analyst. You will be delivering real projects using our data warehouse, which has over 500+ million rows of real data. We work with leading organisations looking to hire data analysts and More ❯
Data Scientist, Ad Fraud Detection, Traffic Quality ML Advertising at Amazon is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on Amazon and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies. One of the key … traffic filtering leveraging GenAI and state-of-the-art deep learning techniques. Our systems preserve advertiser trust and saves them hundreds of millions of dollars of wasted spend. A Data Scientist is responsible for delivering deep data-driven analyses with insights that drive the business. They would use a combination of analytics, data visualization and machine learning … to identify gaps in current solutions as well as prototype new algorithms that close the gaps. The ideal candidate should have strong experience in dive deep analytics and data visualization, thorough knowledge of statistical techniques and strong breadth in machine learning. The candidate should also have good programming and design skills to implement machine learnings algorithms in practice on More ❯
Senior Data Scientist - Optimisation (Contract) Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site) The brief A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both … accuracy and yield. Core responsibilities Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality. Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly. Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI …/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. A typical day Morning stand-up: align on performance targets and new constraints. Data dive: explore panel behaviour in Python/SQL, craft new features. Modelling sprint: run More ❯
A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both accuracy and yield. Responsibilities Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality. … AWS SageMaker (moving to Azure ML); containerise code and hook into CI/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker … PyTorch/TensorFlow; clean, tested code. Cloud ML: hands-on with AWS SageMaker plus exposure to Azure ML; Docker, Git, CI/CD, Terraform. SQL mastery for heavy-duty data wrangling and feature engineering. Experimentation chops - offline metrics, online A/B test design, uplift analysis. Production mindset: containerise models, deploy via Airflow/ADF, monitor drift, automate retraining. More ❯
Convera is seeking a Data Analyst with a primary focus on helping us measure and optimise our Operational performance by leveraging data, analytics and a technical skill set. You will be reporting into the Instrumentation team who are responsible for the transformation of our data, reporting and analytics, as well as the roll out of data products and machine learning models. As such, you will have the opportunity to learn from a cross functional team of analysts and data scientists. You will be responsible for: • Owning the end-to-end delivery of analytical models in SQL and/or Python to generate actionable data driven insights and recommendations across Convera's business • Developing … automated data products to consistently drive effective insights and measurable results at scale • The design, build and maintenance of high-quality dashboards, KPIs and visualisations to evaluate business performance • Supporting performance optimisation across the business by sharing data, analytical expertise, and subject matter knowledge • Working with other Instrumentation and technology teams to ensure that relevant data, reporting More ❯
Senior Data Scientist - Optimisation (Contract) Outside IR35 | £400-450 per day | 3-month initial term | Hybrid London (2-3 days on-site) The brief A global marketing-data organisation is upgrading the engine that matches millions of survey invitations to the right respondents. Your task: treat the matching pipeline as a full-scale optimisation problem and raise both … accuracy and yield. Core responsibilities Model optimisation - refactor and improve existing matching/segmentation models; design objective functions that balance cost, speed and data quality. Experimentation - set up offline metrics and online A/B tests; analyse uplift and iterate quickly. Production delivery - build scalable pipelines in AWS SageMaker (moving to Azure ML); containerise code and hook into CI …/CD. Monitoring & tuning - track drift, response quality and spend; implement automated retraining triggers. Collaboration - work with Data Engineering, Product and Ops teams to translate business constraints into mathematical formulations. A typical day Morning stand-up: align on performance targets and new constraints. Data dive: explore panel behaviour in Python/SQL, craft new features. Modelling sprint: run More ❯
at RSM UK Join RSM, a pioneering professionalservices firm with 4,000+ staff across 30 UK offices, as we expand our digitaland IT capabilities. We're seeking a skilled Data Analyst to join our dynamic NationalTechnology department, driving forward our analytics and data-centricinitiatives. As a Data Analyst, you'll lead thedelivery of cutting-edge solutions, models … reports, and visualisations thatuncover new business insights. In an era of rapid innovation at RSM, your roleis pivotal in leveraging advanced analytics and data sciencemethodologies. You'll make an impact by: Uncovering and interpreting trends from complex datasets and diverse data sources. Developing optimised models and provide actionable insights to shape our business strategy. Grasping and integrate with … business processes, optimising data retrieval and creating impactful dashboards and reports. Fostering a data-centric culture by providing user support, training, and guidance. Collaborating closely with Data Engineers to define and refine data requirements. Working alongside subject matter experts to deliver innovative data products. Identifying and address system and process gaps that hinder effective dataMore ❯
Software Engineer/Data Scientist Active Top Secret (TS/SCI) clearance with polygraph is required. YOE Requirement: 8 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. Description: As a data scientist specializing in graph analysis and algorithms, you will join a collaborative team building an entirely new graph analysis platform that … for the first time, will allow our mission customers to visualize, analyze, and traverse their expansive and complex mission data in graph format and in near-real-time. Your responsibilities will center around enhancing our graph data capabilities-designing, modeling, and optimizing complex graph structures and crafting performant database queries. While familiarity with Neo4j and its query language … Cypher, is beneficial, we welcome candidates with broader graph analysis experience who are eager to deepen their expertise. You may also develop and maintain data parsers using Python to support our ingestion pipelines and maintain comprehensive documentation of data models. Finally, you will work directly with mission analysts and operators to listen to their needs and address them More ❯
Senior Data Scientist – Forecasting Remote - (Office in London) Up to £70,000 About the Role 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 More ❯
Data Scientist/Cloud Developer Work Type: Full Type Location: Washington, DC Job Description: GridIron IT is seeking a Data Scientist/Cloud Developer with an Active Top Secret (SCI Eligible Clearance). You will be responsible for designing, developing, and deploying secure, maintainable, and reliable software in the form of executable functions (e.g., AWS Lambda or Azure … Functions) across a cloud infrastructure that houses sensitive data and models that support mission critical operations. You will be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products … and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop analytic products tailored to mission user requirements. Strong communication and interpersonal skills are critical in your ability to collaborate with your technical colleagues and building rapport with More ❯
create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: As a Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be on analysing multidimensional time … that extract meaningful metrics of brain function and autoregulation, improve signal quality through advanced denoising and demixing techniques, and validate signal fidelity in real-world use. Responsibilities: Conduct exploratory data analysis on complex time-series datasets generated from clinical trials, internal studies, and external research databases Develop, prototype, and apply signal processing and machine learning models to interpret physiological … signals such as cerebral blood flow, cerebral autoregulation Design and validate algorithms for denoising, signal demixing, classification, and interpretation of neuromonitoring data Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows Write high-quality, well-tested Python code that meets industry standards for medical-grade software and supports FDA regulatory pathways Produce More ❯
Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯
Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯
control (e.g. Git or SVN) Desired skills and experiences: ElasticSearch/Kibana Cloud computing (e.g. AWS) Hadoop/Spark etc. Graph Databases Educational level: Master Degree Tagged as: Clustering , Data Mining , Industry , Information Retrieval , Master Degree , Sentiment Analysis , United Kingdom More ❯
AI experience Skills: Proficient: • Languages/Framework: Python, Fast API, Azure UI Search API (React) • Cloud: Azure Cloud Basics (Azure DevOps) • GitLab: GitLab Pipeline • Ansible and REX: Rex Deployment • DataScience: Prompt Engineering + Modern Testing • Data pipeline development and monitoring • Understanding of AI/ML algorithms and their applications • MLOps frameworks • Knowledge of cloud platforms (Azure … ML especially) • Model deployment process Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o DataScience: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account, PostgreSQL, Cosmos o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) o Knowledge of cloud … platforms (AWS SageMaker, Google AI Platform) o Expertise in data pre-processing, feature engineering, and model evaluation o Understanding of software engineering principles (version control, CI/CD, containerization) o Familiarity with distributed computing and big data tools (Spark, Hadoop) o Ability to optimize models for performance and scalability o Experience with Azure AI Search More ❯
City of London, Greater London, UK Hybrid / WFH Options
CONQUER IT
AI experience Skills: Proficient: • Languages/Framework: Python, Fast API, Azure UI Search API (React) • Cloud: Azure Cloud Basics (Azure DevOps) • GitLab: GitLab Pipeline • Ansible and REX: Rex Deployment • DataScience: Prompt Engineering + Modern Testing • Data pipeline development and monitoring • Understanding of AI/ML algorithms and their applications • MLOps frameworks • Knowledge of cloud platforms (Azure … ML especially) • Model deployment process Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o DataScience: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account, PostgreSQL, Cosmos o Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) o Knowledge of cloud … platforms (AWS SageMaker, Google AI Platform) o Expertise in data pre-processing, feature engineering, and model evaluation o Understanding of software engineering principles (version control, CI/CD, containerization) o Familiarity with distributed computing and big data tools (Spark, Hadoop) o Ability to optimize models for performance and scalability o Experience with Azure AI Search More ❯
Job Title: Gen AI Consultant Location: Fully Remote Job Type: Contract/Contract-to-hire Responsibilities: Data Engineering: Collaborate with cross-functional teams to design and implement data pipelines, ensuring efficient extraction, transformation, and loading (ETL) processes. Work with diverse healthcare datasets, integrating and cleaning data from various sources to create a unified and reliable data infrastructure. Develop and maintain databases, ensuring data quality, integrity, and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and … the latest advancements in genomics, healthcare, and AI technologies. Contribute to the development of new methodologies and tools to enhance our service offerings. Qualifications: Bachelor's degree in Computer Science, DataScience, or a related field. Strong foundation in data engineering, including experience with ETL processes, data modeling, and database management, as well as SQL. More ❯