Data Modelling Consultant Jobs

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. We are experts in Banking, Capital Markets, and Wealth and Asset Management. We are rapidly expanding our Insurance sector capability. We specialise in Digital Transformation, Data Management & Data Analytics, Business & Finance Transformation engagements, and IT Transformation and Change programmes. We are committed to growing our business and hiring the best talent in the market. Our focus is on maintaining our agile and entrepreneurial culture. About the Job Capco’s Data Team helps our clients transform every aspect of their business. We are highly skilled at formulating data strategy, defining business and technology initiatives across the data management lifecycle and aligning multi-year strategic roadmaps with clients’ business goals. As digital technologies advance and regulations tighten, today’s consumers and today’s businesses are becoming more aware of the importance of good quality data. We work to establish holistic ways to effectively manage data through the modern data supply chain and facilitate consumption through analytics, modelling, AI, machine learning, dashboarding, and reporting. What You'll Get to Do Design, implement, and enhance enterprise Data Governance and Data Management Frameworks across banking and financial services clients. Develop and maintain

Knowledge Graph & Semantics Consultant Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Turn complex data into connected knowledge that drives smarter decisions. The Role Financial services firms face significant challenges – and opportunities – in how they manage and extract value from increasingly complex data. Their ability to compete, comply and transform depends on connecting information across data silos and turning it into knowledge that people and machines can meaningfully understand. Graph and Semantics Engineering are emerging enterprise data technologies that use ontologies, advanced analytics and AI to represent knowledge in expressive and innovative ways. Next-generation AI systems powered by knowledge graphs can help organisations manage complexity, provide greater context and deliver more explainable outcomes. As a Knowledge Graph & Semantics Consultant, you’ll help our clients understand, design and implement solutions using graph and semantic technologies, advanced data management and analytics. You’ll also explore how approved AI tools, automation and AI-enabled workflows can improve the speed, quality and insight of delivery, while maintaining appropriate human judgement, review and responsible AI guardrails. You’ll contribute to the continued growth of Capco’s Data & Analytics practice, helping develop our capabilities, talent and thinking around how graph and semantic technologies can create value for financial services organisations. What You’ll Do Design and implement knowledge graph, semantic modelling and advanced data solutions that connect structured and unstructured information. Help clients identify and deliver practical use cases for graph and semantic technologies, advanced analytics and AI. Use approved AI tools and AI-enabled workflows where appropriate to accelerate research, modelling, analysis and delivery, with human-in-the-loop review and validation. Build Capco’s graph and semantic c

Who we are Artefact is a leading global consulting firm dedicated to accelerating the adoption of data and AI. We work with a variety of businesses, from supermarket chains, to private equity firms and telecoms; including Nissan, L'Oréal, Carrefour, WHSmith, Orange, Beiersdorf, BNP Paribas, and Samsung. Our success stems from combining advanced data technologies, agile methods for quick delivery, and dedicated teams of data scientists, data engineers, business consultants, and data analysts. Our 1,800 employees operate in 25 countries (Americas, Europe, Asia, Middle East, India, Africa) and we partner with 1,000+ clients . What you will be doing As a Senior Data Scientist in our London office , your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering committees. Supervising and mentoring team members on code, deployment, and best practices. Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles. Qualifications Necessary education and experience Education : A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative field. Project & Team Leadership : Demonstrable experience supervising team members, taking responsibility for project delivery, defining technical tasks, and presenting project updates to both internal and client stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency in objec

Location: Doha, Qatar | Practice Area : Technology & Engineering | Type: Permanent The Role Capco is looking for an AI Security Consultant to help our clients identify, assess, and manage security risks associated with AI technologies and AI-enabled solutions. You’ll work across data, security, technology, risk, and business teams to embed appropriate security controls throughout the lifecycle of AI systems. This is an opportunity to work at the intersection of AI, data, and cybersecurity within financial services, helping clients adopt AI securely while protecting sensitive information, strengthening governance, and managing emerging security risks. What You’ll Do Assess security risks associated with AI systems, models, data pipelines, and supporting technology environments. Conduct AI security assessments and secure AI architecture reviews. Define and implement security controls, standards, and guardrails across the AI lifecycle, from design and development through deployment and ongoing operation. Identify and assess AI-specific threats and vulnerabilities, including risks relating to data exposure, model access, prompt manipulation, and misuse. Deliver cybersecurity advisory services supporting enterprise AI adoption. Support clients in securing AI-enabled products, platforms and data ecosystems. Work with data, security, architecture, engineering, risk, and business teams to embed security-by-design into AI solutions and delivery processes. Support AI security governance, risk assessments, control testing, monitoring, incident response, and remediation activities. What We’re Looking For Strong experience in cybersecurity, information security, AI security, data security, or related technology risk disciplines. Practical understanding of AI and machine learning environments and the security risks associated with models, data, applications, and supporting infrastructure. Experience applying security controls, threat modelling, risk assessment, identity and a

Location: Doha | Practice Area : Technology & Engineering | Type: Permanent The Role Capco is looking for a Security Consultant to help our clients identify, assess, and manage cybersecurity threats and technology risks across complex environments. You’ll work with security, technology, risk, architecture, and business teams to deliver structured threat and risk assessments that support informed decision-making and effective security controls. This is an opportunity to work on complex cybersecurity challenges within financial services, helping clients understand their threat landscape, identify vulnerabilities and control gaps, and strengthen their overall security and technology risk posture. What You’ll Do Assess existing security controls and evaluate their effectiveness against identified cyber and technology risks. Identify potential threats, vulnerabilities, control gaps, and risk scenarios, documenting findings and recommending proportionate remediation actions. Conduct regular data, threat and risk assessments and recommend corrective actions to improve security posture. Work with security, architecture, engineering, risk, and business stakeholders to embed threat and risk assessment activities throughout technology change and delivery. Conduct threat and risk assessments across infrastructure, cloud environments, technology platforms, and business services. Produce clear risk assessments, reports, and recommendations that support governance, remediation planning, risk acceptance, and informed decision-making. What We’re Looking For Strong experience in cybersecurity risk assessment, threat assessment, technology risk, information security, or related disciplines. Practical knowledge of threat modelling, vulnerability assessment, security controls, risk assessment methodologies, and remediation planning. Experience assessing applications, infrastructure, cloud services, or technology solutions against security and risk requirements. Strong understanding

Management Consultant – Insurance – London Markets Location: London (Hybrid) | Practice Area : Insurance, Business Consulting | Type: Permanent Shape the future of the London Market with Capco. The Role We’re seeking experienced London Market Consultants to join our growing Insurance practice. You’ll work across transformational projects with leading Lloyd’s and Companies Market participants, helping to modernise processes, implement digital platforms, and unlock the value of data. From market modernisation initiatives to regulatory compliance and data strategy, you’ll bring insight and delivery excellence to some of the sector’s most complex challenges. What You’ll Do Support client engagements and proposal development for London Market transformation initiatives Deliver consulting services including business analysis, project management, and data strategy Lead cross-functional Capco-client teams and manage senior stakeholder expectations Contribute to thought leadership and market insight activities within the London Market Drive collaboration across underwriting, claims, reinsurance, and technology teams What We’re Looking For Experience working with London Market entities such as syndicates, reinsurers, brokers, and MGAs Demonstrated success in leading large-scale transformation programmes within insurance Strong understanding of both business and IT functions - underwriting, claims, e-trading, policy admin Expertise in London Market processes and initiatives (e.g. Future at Lloyd’s, RPA, e-trading) Solid understanding of the project lifecycle from strategy to implementation and delivery Bonus Points For Experience in data governance, modelling, or analytics within insurance Exposure to agile methodologies and digital change frameworks Ability to identify areas for operational improvement and deliver continuous improvement strategies Effective collaboration with third-party vendors and external partners Prior consulting experience or strong internal transf

Financial Risk Transformation Consultant / Senior Consultant Location: London (Hybrid) | Practice Area: Finance, Risk, Regulatory & Financial Crime | Type: Permanent Lead meaningful risk transformation at the heart of financial services The Role Capco is seeking Financial Risk Consultants and Senior Consultants to join our growing Finance, Risk, Regulatory & Financial Crime (FRRF) capability. You'll advise clients on regulatory frameworks, optimise risk controls, and lead transformation in support of Chief Risk Officers. This is a chance to deliver complex, high-impact work across credit, market, liquidity, and capital risks. You'll also leverage approved AI tools and AI-enabled ways of working to enhance analysis, accelerate insight generation, and improve delivery while applying appropriate human judgement and responsible AI practices. What You'll Do Deliver advisory and implementation projects relating to Basel, IFRS 9, BCBS 239, and other key regulations, using AI-enabled analysis where appropriate to improve efficiency and insight. Support risk control improvements, regulatory change, and data-driven risk reporting and modelling, identifying opportunities to enhance delivery through AI-enabled workflows and automation. Evaluate client risk practices, identify process improvements, and recommend practical solutions using data-driven insights while ensuring appropriate human oversight of AI-assisted outputs. Collaborate across Credit Risk, Market Risk, Finance, Legal, Technology, and other business functions to deliver effective transformation outcomes. Contribute to internal capability building, business development, and risk thought leadership, including identifying opportunities to responsibly apply AI to client solutions. What We're Looking For Experience delivering risk and regulatory change initiatives within financial services. Strong knowledge of Basel, IFRS 9, BCBS 239, and wider prudential regulatory frameworks across credit, market, liquidity,

Principal Consultant – Semantic Data & AI Engineering Capco | Data & Analytics | New York, NY About the Role Capco is seeking a hands-on Principal Consultant to design and build semantic data solutions that make enterprise data usable by artificial intelligence, machine learning, analytics, and business applications. This role is designed for a versatile technical leader who can move across knowledge-graph engineering, AI solution development, data modeling, and data-pipeline delivery. The successful candidate will help clients connect structured and unstructured information, create machine-understandable representations of business knowledge, and provide trusted context for AI applications. You will work across multiple project roles depending on client needs—serving as a semantic architect, knowledge-graph engineer, AI engineer, data engineer, technical lead, or client advisor. This is not a research-only or ontology-only position. The role requires someone who can translate business requirements into practical solutions and contribute directly to architecture, code, data pipelines, testing, and production delivery. What You’ll Do Design and implement enterprise knowledge graphs, semantic layers, ontologies, taxonomies, and graph-based data products. Translate business concepts, policies, documents, data models, and subject-matter expertise into governed, machine-readable knowledge models. Build semantic data pipelines that acquire, transform, map, validate, enrich, and load data from databases, APIs, files, documents, events, and cloud platforms. Integrate knowledge graphs with AI and machine-learning solutions, including generative AI, retrieval-augmented generation, GraphRAG, semantic search, and intelligent agents. Support NLP and document-intelligence use cases such as entity extraction, entity linking, relationship extraction, classification, natural language inference, and knowledge extraction. Combine graph traversal, vector search, metadata, rules

About the Role We are looking for a Data Analytics Consultant in Taiwan to join our Enterprise Solution team. In this role, you will serve as the strategic bridge between our product applications, client data, and evolving business requirements. You are the vital link connecting our Product, Customer Success, and Sales teams. Your primary objective is to architect business solutions and successfully implement them using existing products, while simultaneously translating client feedback into actionable requirements for the Product team to drive continuous innovation. To excel in this role, you must develop an in-depth understanding of our products from technical development and service operations to sales strategy. You should possess exceptional communication skills to navigate complex client relationships and internal cross-functional collaborations. Responsibilities Requirement Advocacy: Gather and communicate new requirements and feedback from customers to the Product team to support continuous feature improvement and product-market fit. Cross-Functional Collaboration: Partner with Product Managers (PM), Customer Success Managers (CSM), and clients to identify business pain points and provide actionable analytical suggestions. Data Modeling & Analysis: Utilize SQL and Python to extract data from massive databases, conduct Exploratory Data Analysis (EDA), and build models to analyze business needs and predict user behavior. Further, verify and react with AI tools and validate the analytics results. Visualization & Reporting: Design and develop automated dashboards (e.g., Tableau or Looker) to provide intuitive, real-time monitoring and insightful data reports. (or proven capability of leveraging AI tools to complete tasks) A/B Testing: Design, execute, and analyze experiments to scientifically evaluate the effectiveness of marketing strategies and campaign performance. Solution Modeling & Frameworks: Design structured frameworks based on client

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: Strong SQL and Python skills Data modelling experience (dimensional, relational, or similar) Experience building and maintaining backend systems Familiarity with Microsoft Azure Understanding of APIs, containers, and backend development best practices Implementing cloud-native data platforms Engineering scalable and reliable pipelines Good knowledge of distributed computing with Spark Understanding of cloud architecture principles and best practices Hands-on experience in designing, deploying, and managing cloud resources Agile ways of working Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: Experience with Snowflake, dbt, CubeJS Experience with Databricks, PySpark, ML workflows Experience with containerized deployments (Docker, Kubernetes, Azure Container Apps). Frontend development experience (React, Next.js, TypeScript) Infrastructure-as-code (Terraform, CloudFormation) Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining ML Pipelines & CI/

Location: Doha, Qatar | Practice Area: Data & Analytics | Type: Permanent The Role Capco is a global technology and business consultancy, focused on the financial services and energy sectors. We combine innovative thinking with deep industry expertise to help our clients solve complex business and technology challenges. We are looking for an experienced Data Architect to lead the design and evolution of enterprise data architectures across complex transformation programmes. The role combines strategic architecture, modern data platform expertise, and technical governance to deliver scalable, secure, and future-ready data solutions. You will work closely with business and technology stakeholders to translate requirements into practical architectural solutions, establish common standards, and guide engineering teams through implementation. What You'll Do Define target-state architectures, data models, domain structures, and integration patterns, ensuring alignment with business objectives, enterprise standards, and non-functional requirements. Design scalable data platforms and solutions leveraging technologies (including but not limited to Snowflake, dbt, and cloud-native services), with a focus on performance, security, resilience, and cost efficiency. Architect modular, microservices-based solutions incorporating REST APIs, API gateways, and modern data ingestion and integration patterns. Establish and promote consistent data modelling, naming conventions, semantic definitions, and data management standards to support interoperability, discoverability, and reuse. Collaborate with stakeholders and engineering teams to translate business and technical requirements into architecture designs, assess source-system integration feasibility, and validate proposed solutions. Lead technical design reviews, assess architectural decisions, dependencies, and risks, and provide practical recommendations to maintain consistency and minimise implementation rework. Facilitate a

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Architect , you will lead the architecture and data design work, working closely with Data Engineers, Business Analysts, BI teams, and client technology and business stakeholder in the Data Lake/Lakehouse implementation project. What You’ll Do Designing the target Lakehouse architecture and end-to-end data flows. Defining data models, canonical structures and reusable data-product patterns . Designing scalable and reusable batch, CDC and streaming ingestion patterns . Establishing data architecture standards covering data quality, reconciliation, lineage, governance, security and access . Assessing and aligning the solution with existing enterprise and regional architecture standards. Supporting source-to-target mapping, data migration and integration design. Providing technical leadership and guidance to Data Engineering teams throughout implementation. Supporting solution design reviews, testing, production readiness and BAU handover. What We’re Looking For 6+ years of experience in data architecture, data engineering, or related roles. Strong expertise in Azure, Databricks, Delta Lake, data modelling, data architecture, data integration/ETL, data governance and cloud architecture. Experience designing enterprise data platforms and data products, particula

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Engineer (Intermediate/Senior) , you will work closely with Data Architects, Business Analysts, BI developers, and client technology teams to design and implement reusable data ingestion and transformation pipelines in Data Lake/Lakehouse implementation programme What You’ll Do Developing batch, CDC and/or streaming data ingestion pipelines from multiple source systems. Implementing Bronze, Silver and Gold data layers , including data cleansing, transformation and standardisation. Developing reusable data pipelines and supporting data product implementation. Implementing data quality, reconciliation, validation and monitoring controls. Supporting data migration, integration testing, UAT and production release. Working with the architecture team to ensure solutions follow agreed cloud, security, governance and engineering standards . Supporting knowledge transfer and BAU handover. What We’re Looking For 4+ years of experience in data engineering or related roles. Strong experience in Databricks, Azure, SQL, Python/PySpark, ETL/ELT, Delta Lake, data modelling, data quality and CI/CD. Experience in financial services especially asset management or large-scale data transformation, would be advantageous. Experience in workong on an end-to-end enterprise da

Your challenge As an Integration Consultant, you focus on the technical analysis and implementation of our integration solutions into our customer’s business systems. Together with our integration architects, your contributions assist with delivering high-quality, fully-tested, and documented solutions by integrating our solution with enterprise systems such as SAP. You are responsible for: Designing and implementing integration workflows. Writing integration scripts. Designing and executing data mapping, data modeling, and data loading. Developing specifications. Analyzing customer needs. Performing testing. Developing integration solutions. About you Essential talents and qualifications: A Bachelor’s or Master’s degree in Computer Science, Mathematics, Industrial Engineering, or similar. A solid background in IT. 1-3 years of experience in systems integration implementations, troubleshooting, or support. Hands-on experience in building complex integrations with a broad variety of application types and technologies. Great analytical and problem-solving skills. A customer-oriented and results-committed attitude. Passionate about working in a multinational, customer-driven environment. A team player who can also work independently. Fluent in English. Willingness to travel. Bonus points if you have: Knowledge of or experience with SAP (PP and MM). Integration experience with enterprise systems like SAP or Blue Yonder. Experience with communication protocols for SAP (through BAPI / RFC), databases, and files. Web services technologies such as HTTP, SOAP, and REST (based APIs). Middleware such as SAP PO and SAP PI. Experience with MES/WMS. Proficiency in data communication or transformation techniques. Hands-on experience in designing, building, testing, debugging, deploying, and managing APIs and integrations. Experience with ETL tools. Technical knowledge of SQL, R, JavaScript, Python, etc. Soft skills ·

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What will you be doing? Securing delivery on your projects Communicating your work and achievements among the team Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition What are we looking for? A Master’s degree in machine learning, mathematics, computer science, or related fields Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) Strong knowledge of data processing, data modeling, algorithms, and data architecture Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact Artefact is the place to be: come and build the future of data and marketing! Innovation : We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration : We believe in bringing talented people together, winning together, and in learning from each other.