lead data architect

TouMetis

<div>Principal Data Architect / Head of Data Engineering

Location: Hybrid (1-2 days in the office a week) 
Type: Full-time 
Reports to: Vice President, Data Science

Role Overview

We are seeking a hands-on Principal Data Architect to own and evolve our end-to-end data platform as the company scales. This role sits at the intersection of data engineering, data architecture, and data management, acting as the critical link between our Data Science and Cloud Engineering teams.

Today, our core data infrastructure is tightly coupled to our product UI and optimized for transactional workflows. While this has served us well, it limits extensibility, analytical flexibility, and scalability. Your mission is to architect data as a first-class product&mdash;one that is observable, queryable, versioned, and reusable by clients and internal teams alike.

This is not a pure strategy role. You will advise, design, and implement, working hands-on with Python, SQL, and infrastructure-as-code while influencing architectural decisions across the organization.

What You&rsquo;ll Do

Own the Data Platform Vision
<ul>
<li>Define and champion a scalable, secure, and extensible data architecture aligned with company growth.</li>
<li>Set standards, principles, and ways of working for data architecture, DataOps, and governance.</li>
<li>Ensure data models, pipelines, and storage systems support both product needs and advanced analytics/ML use cases.</li>
</ul>
Bridge Data Science &amp; Cloud Engineering
<ul>
<li>Act as the primary interface between data science and cloud engineering teams.</li>
<li>Translate analytical and ML needs into production-ready data architectures.</li>
<li>Prototype and productionize data solutions collaboratively across disciplines.</li>
</ul>
Build Data as a Product
<ul>
<li>Design and implement curated, versioned datasets with clear data contracts and lineage.</li>
<li>Enable feature creation, reuse, and publication for low-latency serving and batch inference.</li>
<li>Improve data observability, quality monitoring, alerting, and health checks across the platform.</li>
</ul>
Architect for Scale &amp; Cost Efficiency
<ul>
<li>Work with Toumetis&rsquo; Principal Cloud Engineer to evaluate and advise on cloud data technologies (e.g. Snowflake, Databricks, Redshift, Azure Data Services), balancing cost, performance, and long-term flexibility.</li>
<li>Challenge existing constraints and design patterns pragmatically, appropriate to a small but growing company.</li>
<li>Design data flows and lifecycle management from ingestion to consumption.</li>
</ul>
Enable Advanced Analytics &amp; ML
<ul>
<li>Partner with the data science and software development teams to establish strong MLOps and DataOps practices.</li>
<li>Support geospatial and large-scale analytical workloads.</li>
<li>Ensure data is discoverable, reusable, and fit for experimentation and production ML.</li>
</ul>
Governance &amp; Client Engagement
<ul>
<li>Develop a streamlined Enterprise Data Management (EDM) and data governance roadmap.</li>
<li>Ensure governance supports&mdash;not blocks&mdash;innovation and strategy changes.</li>
<li>Contribute to solution design with clients, including pre-sales, technical presentations, and strategy sessions.</li>
</ul>
Key Responsibilities
<ul>
<li>Create conceptual, logical, and physical data models across multiple subject areas.</li>
<li>Define data architecture frameworks, standards, and policies.</li>
<li>Map and manage data flows across systems and teams.</li>
<li>Advise on or lead procurement and implementation of data platforms and tooling.</li>
<li>Build interactive analytics solutions and guide clients to actionable insights.</li>
<li>Support traditional and modern data platforms (SQL Server, cloud data warehouses, big data ecosystems).</li>
</ul>
What We&rsquo;re Looking For

Experience
<ul>
<li>~7+ years working with business and technology stakeholders on data architecture and analytics initiatives.</li>
<li>Proven experience designing and delivering scalable data platforms in cloud environments.</li>
<li>Strong hands-on experience with Python, SQL, and infrastructure-as-code.</li>
<li>Experience across major cloud providers (AWS, Azure, or GCP).</li>
<li>Familiarity with modern data platforms (e.g. Snowflake, Databricks, Redshift, Hadoop ecosystems).</li>
<li>Solid understanding of data science and machine learning workflows and their infrastructure pain points.</li>
<li>Experience with Microsoft data platforms (SQL Server, Power BI, Azure Data Services) is a plus.</li>
</ul>
Mindset &amp; Skills
<ul>
<li>A DataOps-first mindset: lineage, versioning, data contracts, and automation by default.</li>
<li>Comfortable challenging existing architectures and proposing pragmatic alternatives.</li>
<li>Strong systems thinker who understands when to apply different data modeling patterns.</li>
<li>Self-starter who thrives in ambiguity and small-team environments.</li>
<li>Passionate about solving problems with data and staying current with emerging tools and practices.</li>
<li>Strong communicator, able to influence engineers, data scientists, and clients alike.</li>
</ul>
Why This Role Matters

This role is foundational to our next phase of growth. You will define and improve how data is built, governed, and consumed across the company&mdash;ensuring it is scalable, observable, and future-proof, while remaining practical for a small, fast-moving team.

If you enjoy owning data end-to-end, bridging disciplines, and building platforms that unlock real business and analytical value, we&rsquo;d love to talk.</div>

Principal Data Architect

The Cigna Group

<div>About Cigna Healthcare<h3 class="jobSectionHeader">
Cigna Healthcare is a global health service company dedicated to transforming healthcare. With roots in the U.S. and operations in over 30 countries, we serve more than 180 million customers and patients worldwide. Ranked 13th on the Fortune 500 in 2025, Cigna is recognized as one of the most trusted and influential names in the industry.</h3><h3 class="jobSectionHeader">
Our mission is to improve the health, well-being, and peace of mind of those we serve.</h3><h3 class="jobSectionHeader">
Join our globally recognized brand, where trust, communication, and a positive culture are at the core of everything we do. Our leadership is consistent, approachable, and supportive-ensuring your well-being and work-life balance.</h3><h3 class="jobSectionHeader">
We're looking for individuals who thrive in collaborative environments, are passionate about meaningful change, and want to grow in a company that puts people first.</h3><h3 class="jobSectionHeader">
At Cigna, you'll be part of a purpose-driven team that values innovation, compassion, and impact. Whether you're shaping better care experiences or supporting customers through life's key moments, your work will matter.</h3><h3 class="jobSectionHeader">
Grow with us-and help shape the future of healthcare.</h3>
Purpose of this Role<ul><li>
The Lead AI Architect (AI) is responsible for defining, adopting, and assuring AI-enabled data architectures that are commercially viable, technically robust, and aligned to Cigna&rsquo;s enterprise and data strategy.</li><li>
As part of the International Health Global Architecture function, this role sets architectural direction and ensures strategic priorities are realised through data and AI delivery.</li><li>
This role will drive innovation, productivity and operational improvements, and customer experience transformation by applying modern AI architecture in a secure, scalable, and responsible manner.
</li><li>This role collaborates closely with business leaders, product teams, engineering, and third-party partners to ensure data and AI investments deliver measurable value while meeting regulatory, operational, and security requirements.</li></ul>
Main Duties / Responsibilities
Strategy &amp; Architecture Leadership<ul><li>
Architect and own enterprise-scale Generative AI platforms supporting multiple business use cases, including internal pilots, automation assistants, knowledge discovery, and customer-facing AI experiences.</li><li>
Define and maintain reference target-state data and AI architectures for International Markets, aligned to enterprise architecture standards and data strategy.</li><li>
Act as a senior architectural authority for AI-enabled data solutions, ensuring consistency, reuse, and long-term sustainability across the landscape.</li><li>
Advocate for AI-driven data design, embedding modern AI and analytics patterns into enterprise data platforms and services.</li><li>
Maintain an active awareness of emerging trends in data architecture, AI/ML, and enterprise technology, assessing their potential impact and value for Cigna, advising senior leadership on AI strategy, feasibility and adoption paths.</li></ul>
AI Architecture<ul><li>
Define architectural patterns and standards to support AI model lifecycle management, AI and data pipelines, feature engineering, and associated design artefacts.</li><li>
Architect and own enterprise-scale Generative AI platforms supporting multiple business use cases, including internal pilots, automation assistants, knowledge discovery, and customer-facing AI experiences.
</li><li>Define and maintain reference architectures and design patterns for LLM-based applications, covering model access, orchestration, retrieval, prompt management, evaluation, and observability.
</li><li>Ensure that AI architectures support the needs of data science, analytics, and AI use cases, including scalability, performance, data quality, and governance.</li><li>
Work with Solution Architects and engineering teams to translate business and technical requirements into coherent end-to-end data and AI solution designs.</li></ul>
Delivery &amp; Governance<ul><li>
Participate across the full delivery lifecycle, from early concept shaping and investment cases through to design assurance and governance during build and implementation.</li></ul><ul><li>
Provide architecture governance through design reviews, standards definition, and participation in architecture review and approval forums.</li><li>
Capture and manage architectural risks, issues, and assumptions, articulating their financial, operational, and delivery impacts.</li><li>
Support sponsors in the creation of well-rounded and compelling business cases for data and AI-led change.</li></ul>
Stakeholder &amp; Commercial Leadership<ul><li>
Proactively engage with stakeholders across Business, IT, and third-party partners to ensure solutions are cost-effective, appropriate, and aligned to business outcomes.</li><li>
Take a lead role in the selection and assessment of third-party data and AI solutions, establishing and maintaining effective supplier and partner relationships where required.</li><li>
Apply strong commercial awareness, including financial planning, budgeting, and cost-benefit considerations, in architectural decision-making.</li></ul>
Capability Building &amp; Mentoring<ul><li>
Provide high-level mentoring and guidance to architects, design, and development teams to embed data and AI principles, standards, and best practices.</li><li>
Take a lead role in the selection and assessment of third-party data and AI solutions, establishing and maintaining effective supplier and partner relationships where required.</li><li>
Contribute to the maturity of Cigna&rsquo;s data and AI architecture capability through knowledge sharing, standards development, and continuous improvement.</li><li>
Apply strong commercial awareness, including financial planning, budgeting, and cost-benefit considerations, in architectural decision-making.</li></ul>
Skills &amp; Experience
Essential Experience<ul><li>
Demonstrated expertise in architecting and leading large-scale AI initiatives, taking solutions from proof of concept through to successful production deployment.</li><li>
Deep understanding of architectural considerations and trade-offs in AI and machine learning projects, built through hands-on delivery experience.</li><li>
Experience working effectively within globally distributed teams and complex stakeholder environments.</li></ul>
Generative AI &amp; Core Concepts:<ul><li>
Large Language Models (LLMs), embeddings, prompt engineering - Retrieval-Augmented Generation (RAG), Knowledge bases and Multimodal embeddings</li><li>
Agentic AI workflows and tool calling - Model Context Protocol (MCP) concepts and context management</li><li>
Knowledge on foundational models and inference profiles, regional hosting and restrictions of various models and be able to identify the right model for the right requirements.</li></ul>
AI Architecture &amp; Tooling<ul><li>
Awareness of AI Gateway / model access layer design and access controls on the gateways.</li></ul><ul><li>
Proficiency in designing and implementing AI Gateway/model access layers to facilitate secure and scalable access to AI models.</li><li>
Experience in architecting solutions with vector databases and semantic search for efficient retrieval of information from large volumes of unstructured data.</li><li>
Skilled in leveraging document intelligence platforms (e.g., Azure Form Recognizer, AWS Textract, Google Document AI) for document classification, data extraction, and entity recognition from varied formats including scanned documents, PDFs, and handwritten forms.</li><li>
Knowledge of Intelligent Document Processing (IDP) solutions for automated ingestion, parsing, and validation of unstructured documents, ensuring accurate routing of documents to appropriate business workflows.</li><li>
Familiarity with workflow orchestration frameworks (such as LangChain, LangGraph, or equivalent) to automate end-to-end document processing pipelines, including document routing, exception handling, and integration with downstream systems.</li><li>
Understanding of optical character recognition (OCR), natural language processing (NLP) techniques, and entity linking for extracting actionable insights from diverse data types.</li><li>
Awareness of data validation, quality checks, and document lifecycle management best practices to ensure compliance and reliability in document processing solutions.</li></ul><ul><li>
End-to-end AI pipelines: ingestion, retrieval, generation, evaluation and rollout.</li><li>
Familiarity with AI governance, model lifecycle considerations, and responsible use of data and AI, particularly within regulated environments.</li></ul>
Qualifications<ul><li>
Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>
10+ years of experience building and architecting large-scale software or AI systems in medium-to-large enterprises.</li><li>
5+ years of experience with AI/ML, NLP, or Generative AI</li><li>
Experience working in regulated or compliance-sensitive environments (e.g., healthcare, finance, insurance, global enterprises).</li><li>
Strong communication skills with the ability to influence technical and non-technical stakeholders, with English at C2 level.</li></ul>
Why You'll Love Working here<ul><li>
Competitive salary</li><li>
Multicultural and hybrid working environment</li><li>
Private Medical Insurance</li><li>
Employee Wellbeing Benefits</li><li>
Educational Development Program</li></ul>
About Cigna Healthcare
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.
Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.</div>

Lead AI Architect

Kasmoprav

We are seeking an experienced Lead AI &amp; Data Platform Engineer to join an innovative e-commerce and social marketplace platform built for the Middle East. The platform combines livestream shopping, real-time auctions, and social engagement into a highly automated, data-driven ecosystem.This is a hands-on engineering role focused on building the data and automation engine that powers growth, product recommendations, advanced personalization, and AI-driven experiences.Key Responsibilities:<ul><li>Architect, build, and manage scalable data warehouses using ClickHouse, BigQuery, Snowflake, Redshift, or similar OLAP databases.</li><li>Design and maintain robust data pipelines and event tracking systems across web and mobile applications.</li><li>Build audience activation pipelines from data warehouses to marketing platforms such as Meta CAPI, Google Ads, Braze, Customer.io, and WhatsApp API.</li><li>Develop lifecycle automation solutions including cart abandonment journeys, personalized notifications, and livestream reminders.</li><li>Design and implement recommendation systems and personalization algorithms.</li><li>Deploy and manage production-ready AI solutions, including LLM workflows, RAG systems, and AI agents for operational use cases.</li><li>Ensure data quality, scalability, performance, and cost optimization across the platform.</li><li>Collaborate with business stakeholders and translate technical solutions into measurable business outcomes.</li></ul>Required Skills:<ul><li>7+ years of experience in Data Engineering, Software Engineering, or Data Architecture.</li><li>Strong production-grade experience with Python and SQL.</li><li>Hands-on experience with Data Warehouses and OLAP technologies such as ClickHouse, BigQuery, Snowflake, or Redshift.</li><li>Experience with Event Tracking and Identity Resolution tools such as Segment, RudderStack, or PostHog.</li><li>Experience with Marketing Automation and Reverse ETL platforms including Braze, Customer.io, Hightouch, or Census.</li><li>Practical experience implementing LLMs, RAG systems, and AI integrations in production environments.</li><li>Strong understanding of scalable data architectures and distributed systems.</li><li>Excellent communication and stakeholder management skills.</li></ul>Preferred Qualifications:<ul><li>Experience in E-commerce, Consumer Applications, or Marketplace platforms.</li><li>Experience with Recommendation Engines and Personalization Systems.</li><li>Experience with Vector Databases and Semantic Search.</li><li>Experience working with real-time media or streaming technologies such as LiveKit or WebRTC.</li></ul>Pay: ₹100,000.00 - ₹120,000.00 per monthBenefits:<ul><li>Health insurance</li><li>Work from home</li></ul>Work Location: Remote

Lead AI and Data Platform Engineer

Hiscox

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Reporting to: Re &amp; ILS Head of Data
 
 
 
 
 Location:
 
 London
 
 
 Type: Permanent
 
 
 
 Role Overview
 
 
 
 The Lead Data Scientist is a crucial member of the
 
 extended
 
 RE&amp;ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
 
 Data Science and Machine Learning
 
 chapter.
 
 
 This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions).
 
 
 You will co-lead the new Data Science chapter with the RE&amp;ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&amp;ILS strategic Value Streams. Whilst the chapter grows, you are expected to be
 
 hands-on
 
 actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.
 
 
 Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
 
 Group AI Governance Framework
 
 and maintains rigorous data governance standards. You will be accountable of this adherence.
 
 
 This is likely to be your first managerial role and the first time you have had one or more direct reports &ndash; having previously been a Senior Data Scientist or Machine Learning Engineer yourself. In this role you will be responsible for the management of a 1 to 4 junior and mid-level Hiscox FTEs and Partner resources too. You will be expected to support the Head of Data with attracting and retaining the best talent; helping to manage their career progression and ensure they are highly engaged, find the work fulfilling, and have the ability to rapidly deliver value to the business. As this is likely to be your first managerial role you will be supported and guided by other Data Leaders &ndash; Head of Data and the Hiscox Group Head of Data Science as well.
 
 
 
 About Hiscox Re &amp; ILS
 
 
 
 Hiscox Re &amp; ILS is located in
 
 Bermuda and London
 
 and underwrites reinsurance risks from around the world on behalf of our own and other people&rsquo;s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems. We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Chapter Leadership &amp; Talent Management
 </li>
 <li>
 People Management: Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Inspire chapter members to be curious, embrace new ideas, and nurture psychological safety to help build a high-performance culture.
 </li>
 <li>
 In this role you will manage at least one to two Hiscox data scientists and some partner resources too. You will be expected to manage their performance with relevant PDRs and help to calibrate their overall performance ratings with other people managers in the team. You will work with the Head of Data and Group Head of Data Science to help tailor the training needs to suit each individual and ensure they have the opportunity to grow and progress in their chosen career paths.
 </li>
 <li>
 Culture &amp; Development: Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members.
 </li>
 <li>
 Best Practice: Ensure the chapter adheres to best practices in data science, AI, and complex analytics, sharing knowledge across the wider Hiscox Analytics and Data community through active participation in Communities of Practice.
 </li>
 <li>
 Mentoring: Mentor and educate others in the various data science techniques, encouraging the team to continually learn &ndash; especially supporting the adoption of LLMs and proprietary models that could significantly accelerate our ability to deploy value.
 </li>
 <li>
 Solution Delivery &amp; ML Ops Excellence
 </li>
 <li>
 Hands-On Architecture: Get hands-on to help architect, design, and build complex models that integrate into existing IT solutions to improve data-driven decision-making throughout the Reinsurance Value Chain. Ensure you and your chapter members work closely with Platform Engineers and Architects to create the most optimal and safe solutions.
 </li>
 <li>
 ML Ops Platform: Actively work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform to facilitate the effective support of developed models in production. This includes embedding a rigorous model evaluation process, ensuring consistent model refresh/rebuild capabilities due to model or data drift, and implementing effective monitoring and alerts against rogue behaviour.
 </li>
 <li>
 Speed of Execution: Empower the chapter to work effectively within autonomous squads, delivering desired and valuable outcomes in an incremental manner while correctly balancing accuracy, fast return on investment, and reliability. Understand when to move on and fail fast &ndash; as a lot of AI use cases will be highly experimental in nature with no guarantees of success.
 </li>
 <li>
 Pipeline Collaboration: Work with Data Engineering and other teams to properly understand and contribute to the requirements and building of necessary data pipelines/products consumed by our models.
 </li>
 <li>
 Strategy, Governance &amp; Innovation
 </li>
 <li>
 Use Case Identification: Continually work with key business leaders, the Head of Data and key stakeholders to identify new use cases and opportunities where data science/AI can deliver a competitive advantage or reduce waste/costs through efficiency gains.
 </li>
 <li>
 Governance &amp; Compliance: Champion data and model governance, working within the Group AI Governance Framework. Ensure a mature understanding of data governance, lineage, and version control, and enforce data privacy by design in all new work.
 </li>
 <li>
 Innovation: Maintain a strong awareness of new trends and techniques in Data Science, AI, and Machine Learning. Drive the identification of innovative data solutions and technologies, and actively undertake Proof of Concepts and R&amp;D to deliver reliable insights and potential next steps quickly.
 </li>
 <li>
 Communication: Ensure clear and effective communication of data science solutions and outcomes across business layers, technical teams, and senior leadership.
 
 
 
 </li>
 </ul>
 
 Required Experience And Structure
 
 
 
 <ul>
 <li>
 Reporting: Reports into the RE&amp;ILS Head of Data with a dotted line into the new Group Head of Data Science.
 </li>
 <li>
 Direct Reports: Direct line management for Data Scientists and Machine Learning Engineers within the RE&amp;ILS Data Science Chapter.
 </li>
 <li>
 Key Partners: RE&amp;ILS CTO, Group Head of Data Science, RE&amp;ILS Head of Data, Product Managers, Product Owners, and strategic partners (e.g. Google Cloud, Microsoft).
 
 
 
 </li>
 </ul>
 
 Candidate Profile
 
 
 
 The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You will need to balance technical expertise with effective people management and strategic business partnership. You must be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards. You will have a strong determination and resilience and not fear failure or the inevitable setbacks often found in highly experimental work.
 
 
 
 Main Experience Required Is
 
 
 
 <ul>
 <li>
 Deep Interest in Leadership: As an experienced data scientist or machine learning engineer, has previously demonstrated excellent traits in mentoring and coaching more junior team members and has been happy to invest in them - clearly demonstrating they care about other peoples&rsquo; career progression. Also you can evidence some successful business outcomes that you personally drove forward using advanced Data Science/AI &ndash; as this most likely is your first leadership role.
 </li>
 <li>
 Technical Depth: Extensive "hands-on" experience in architecting, designing, and building complex ML models, with a strong understanding of cloud services and the AI/ML/LLM ecosystem.
 </li>
 <li>
 ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models, including establishing effective monitoring, evaluation, and refresh processes.
 </li>
 <li>
 AI and Data Governance: Mature understanding of AI and Data governance - data obfuscation &amp; data privacy laws, data version control, data lineage, and the application of AI governance frameworks in a regulated environment.
 </li>
 <li>
 Stakeholder Management: Experience in managing and driving collaboration with business unit leaders (Underwriters, pricing teams, MI team) and external technology partners like Google Cloud, Snowflake, DataIku and Microsoft.
 </li>
 <li>
 Education: Bachelor's/Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics, Engineering) or equivalent.
 </li>
 <li>
 Capacity for independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems.
 </li>
 <li>
 Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.
 </li>
 <li>
 Real world experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), AI Agents and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions.
 </li>
 <li>
 Demonstrate a Solid understanding of foundational statistics and experimental design. Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization.
 </li>
 <li>
 Ability to translate complex data science insights into tangible, measurable improvements across critical business processes and key performance indicators, ensuring the real-world adoption and beneficial outcomes of our analytical work.
 </li>
 <li>
 Ability to elevate the technical maturity and capabilities of the data science chapter by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices.
 </li>
 <li>
 Educator: shown the ability to train and coach more junior and mid-level team members - ensuring they have excellent career progression and become high performers.
 
 
 
 </li>
 </ul>
 If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re &amp; ILS. Join our team and be a catalyst for AI adoption in a dynamic, forward-thinking organization.
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Lead Data Scientist

Hippo Digital Limited

About The Role Hippo is a rapidly growing digital consultancy passionate about building and delivering transformative digital solutions for a diverse range of Public and Private sector clients. We are recruiting for a Lead Data Engineer to join our Hippo Herd. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. As a Lead Data Engineer, you will play an important role in making Hippo the best Consultancy out there. You will work as part of a multi-disciplinary team combining data, design, product, delivery, analysis and engineering to deliver bespoke digital services that make a positive and meaningful impact on organisations and society. We're confident in our abilities, authentic in our approach, and passionate about what we do. You will act as a Lead Consultant providing technical expertise in data engineering practices both internally and to our clients. Lead Data Engineers at Hippo are experts in their field, leaders of people and teams, who drive strategic technical deliverables while maintaining high-level client relationships. Our solutions empower our customers to build and support secure, scalable, and well-engineered systems beyond traditional boundaries. We leverage deep data insights and continuous innovation to deliver awesome platforms that allow our customers to understand and get the most from their data and digital services. The Lead Data Engineer will be a key player and implementer in this mission. Please note we are looking for candidates who are looking for growth at the Lead level; therefore, the advertised salary band represents the entry point for this level, allowing for clear progression within the role, which we are very keen to support. Your Role in a Nutshell Act as a technical SME within the Hippo engineering community to ensure user-centred software is developed based on business requirements and best practice. Work collaboratively with colleagues and stakeholders to explore, design and deliver solutions to complex client problems. Design and manage software development and deployment pipelines, resolving issues and potential bottlenecks before they occur. Continuously review and prioritise the delivery team's workload and anticipate the need for realignment with evolving priorities. Be a strong communicator and presenter, presenting solutions and progress to internal and external stakeholders in a clear, concise manner. Build great relationships with your team and stakeholders, identifying and ensuring that challenges are overcome. Lead in the recruitment and on-boarding of other engineers, and support consultants in their professional development. Lead on new business opportunities, writing technical bids and proposals. Promote Hippo&rsquo;s Data Herd externally through writing blogs, workshops, or speaking at conferences. Skills and experience that you need Essential Experience Excellent experience delivering in Python and experience with at least one other core language. Excellent experience of SQL and relational databases. Solid experience of Cloud providers such as AWS, Azure or GCP. Solid experience of working with Snowflake and dbt. Strong experience of working with different data formats, e.g., CSV, JSON and XML. Expertise in building reliable Data Pipelines. Experience operating as a technical leader on complex projects and able to manage stakeholder expectations. Expertise in coaching and guiding others on the best way to achieve an optimal solution. Excellent verbal/written communication skills, able to articulate in both technical/non-technical terms depending on audience. Mastery of working in an Agile Environment and CI/CD practices. Ability to define working procedures and methodologies for the team. Desirable Experience Knowledge of NoSQL databases. Experience in Data Modelling is highly desirable. Broader knowledge of IT &mdash; e.g., Security and Networking. What makes us great Alongside working with some of the most talented people out there and on-top of a competitive salary, which we&rsquo;re transparent about from the outset, you can also expect a range of benefits: Contributory Pension Scheme (Hippo 6% &amp; Employee 2%) 25 Days Holiday plus UK Public Holidays Perkbox access for a wide range of discounts Critical illness cover Life assurance and death in service cover Volunteer days Cycle-to-work scheme for the avid cyclists Salary sacrifice electric vehicles scheme Season ticket loans Financial and general wellbeing sessions Flexible benefits scheme with options of: Private health cover Private dental cover Additional company pension contributions Additional holidays (up to an extra 2 days) Wellbeing contribution Charity contributions Tree planting Diversity, Inclusion and Belonging at Hippo At Hippo, we&rsquo;re dedicated to creating a diverse, equitable and inclusive workplace that works for everyone. We understand that having a diverse team unlocks our capacity for innovation, creativity and problem solving. Only by building a community of diverse perspectives, cultures and socio-economic backgrounds can we create an environment where all can contribute and thrive. We actively encourage applications from underrepresented groups including women, ethnic minorities, LGBTQ+, neurodivergent and people with disabilities. We are committed to providing an inclusive and accessible recruitment process that reflects our workplace culture. We are a registered Disability Confident Employer, Mindful Employer, Endometriosis Friendly Employer and a member of the Armed Forces Covenant. Hippo continually strives to remove barriers, provide accommodations and offer reasonable adjustments to ensure equity throughout our practices. Hi, we&rsquo;re Hippo At Hippo, we design with empathy and build for impact. We do this by combining data-informed evidence, human-centred design and software engineering. We're a digital services partner who is genuinely invested in helping our clients thrive as modern organisations. Our delivery methodology is truly agile, from concept to reality, supporting innovation and continuous improvement to achieve your desired outcomes. We firmly believe that technology should serve humanity, not the other way around. We take a human-centred approach to everything we do because we understand that complex problems require a service design approach. This means understanding how users behave and ensuring our solutions work for them in the real world. Our combination of data, design, and engineering delivers bespoke digital services that make a positive and meaningful impact on organisations and society. Have a look through our Website at Our Story &amp; Purpose, Our Culture &amp; Values, Case Studies and Our Solutions &amp; Services to find out some more! Hippo Locations We are headquartered in Leeds and have offices across the UK in Glasgow, Manchester, Birmingham, London and Bristol. We're on the lookout for top talent nationwide but you need to be located within reasonable travelling distance from one of our offices. Given the dynamic nature of a consulting business, you may be required to work on-site at a Hippo office or at an in/out of town client location for a number of days per week (client dependent) and therefore candidates will need to be open/flexible to travel and working on one of those sites at least 2 days per week. We offer a generous relocation support package of up to &pound;8,000 (please ask for terms and conditions) to help make your move a smooth one. Work Location: Hybrid remote in Manchester M2 1DH

Lead Data Engineer

Lloyds Banking Group

<div>End Date
Wednesday 29 July 2026
Salary Range
&pound;92,701 - &pound;109,060
We support flexible working &ndash; click here for more information on flexible working options
Flexible Working Options
Hybrid Working, Job Share
Job Description Summary
.
Job Description
<div><div>JOB TITLE: Lead Data Scientist
</div><div>SALARY: &pound;92,701 - &pound;109,060
</div><div>LOCATION: Edinburgh, Leeds, Manchester &amp; Bristol
</div><div>HOURS: Full time (35 hours)
</div><div>WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Colleagues with disabilities can be supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. 
</div><div>About this opportunity&hellip;
</div><div>At Lloyds Banking Group, we&rsquo;re moving to the next stages of our digital transformation, and it&rsquo;s our job within the Chief Security Office (CSO) to ensure that we keep our customers, colleagues and assets safe from threat. The CSO&rsquo;s Security Data and AI lab have a phenomenal opportunity for an experienced and dynamic Lead Data Scientist to work with our Analytics and Data Engineering feature teams. 
</div><div>In this role, you&rsquo;ll be owning the way in transforming how we detect, mitigate, and prevent cyber threats using advanced AI and machine learning. This is a rare opportunity to build the future of cybersecurity in one of the UK&rsquo;s most data-rich environments. 
</div><div>About us&hellip;
</div><div>Like the modern Britain we serve, we&rsquo;re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We&rsquo;re growing with purpose. Join us on our journey and you will too&hellip; 
</div><div>What you&rsquo;ll do...
</div><div><ul><li>Own the delivery of security outcomes , including d efin ing and evolv ing approaches to anomaly detection that balanc e performance, explainability, and operational risk .
</li></ul></div><div><ul><li>Lead a team of Data Scientists
</li></ul></div><div><ul><li>Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models.
</li></ul></div><div><ul><li>Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP.
</li></ul></div><div><ul><li>Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT, SOX).
</li></ul></div></div><div><div><ul><li>C ontribute to the Data Science Community of Practice, helping shape best practices across the organisation.
</li></ul></div><div><ul><li>Translate sophisticated data insights into actionable intelligence for collaborators across the Group COO and CSO functions 
</li></ul></div><div>What you&rsquo;ll need...
</div><div><ul><li>Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics.
</li></ul></div><div><ul><li>Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch ), and cloud platforms (preferably GCP).
</li></ul></div><div><ul><li>Deep Learning Theory &amp; Applications - Strong grasp of anomaly detection, time-series modelling, and deep learning architectures.
</li></ul></div><div><ul><li>Experience with LLMs and generative AI in production environments is highly desirable.
</li></ul></div><div><ul><li>Artificial Intelligence Ethics - A passion for ethical AI, model governance, and secure ML operations.
</li></ul></div><div><ul><li>Excellent communication and customer engagement skills
</li></ul></div><div><ul><li>Innovators Mentality - An innovator and change agent who keeps up to date with the latest trends and developments in data engineering and cyber security to ensure our strategies remain at the forefront of the industry. 
</li></ul></div><div>It would be great if you also had&hellip;
</div><div><ul><li>Understanding of the emerging threats within Cyber Security 
</li></ul></div><div>About working for us
</div><div>Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it&rsquo;s why we especially welcome applications from under-represented groups. We&rsquo;re disability confident. So, if you&rsquo;d like reasonable adjustments to be made to our recruitment processes, just let us know. 
</div><div>We also offer a wide-ranging benefits package, which includes&hellip;
</div><div><ul><li>A generous pension contribution of up to 15%
</li></ul></div><div><ul><li>An annual bonus award, subject to Group performance
</li></ul></div></div><div><div><ul><li>Share schemes including free shares
</li></ul></div><div><ul><li>Benefits you can adapt to your lifestyle, such as discounted shopping
</li></ul></div><div><ul><li>30 days&rsquo; holiday, with bank holidays on top
</li></ul></div><div><ul><li>A range of wellbeing initiatives and generous parental leave policies 
</li></ul></div><div>If you&rsquo;re excited by the thought of becoming part of our team, get in touch. We&rsquo;d love to hear from you!
</div></div>At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we&rsquo;re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.</div>

Trantor Software Pvt. Ltd

Title - Lead Data EngineerExperience - 10+ yearsLocation - Bangalore (Hybrid)About Role:This role also requires a solid understanding of Large Language Models (LLMs) and GenAI data ecosystems, enabling the development of high-quality datasets and retrieval-ready pipelines for AI-powered applications. As a technical leader, you will mentor engineering teams, establish best practices, and collaborate closely with architects, data scientists, and business stakeholders to deliver robust data solutions.Key Responsibilities1. Lead the architecture, development, and optimization of scalable data platforms supporting both batch and streaming workloads.2. Design, implement, and maintain ETL/ELT pipelines for data ingestion, transformation, and curation using the Databricks Lakehouse Platform and medallion architecture.3. Define data models, schemas, and storage strategies for data lakes and data warehouses to support analytics, reporting, machine learning, and GenAI initiatives.4. Develop and curate high-quality datasets, feature engineering pipelines, and retrieval-ready data stores, including embeddings and vector-based data structures, for LLM-powered applications.5. Establish engineering standards, coding best practices, code review processes, and CI/CD pipelines to ensure maintainable and reliable solutions.6. Build and automate end-to-end data workflows using orchestration tools such as Apache Airflow or equivalent platforms.7. Lead migrations from legacy on-premises or cloud-based data warehouses to modern cloud-native and lakehouse architectures.8. Optimize performance and cost by implementing effective partitioning, caching, compute tuning, and distributed processing strategies.9.Implement robust data governance, security, lineage, and access control frameworks aligned with organizational compliance requirements.10. Build monitoring, logging, alerting, and data quality frameworks to ensure reliability and proactive issue resolution.11. Mentor and guide data engineers while collaborating with architects, data scientists, and business stakeholders to translate business requirements into scalable technical solutions.12. Participate in and lead Agile ceremonies, including sprint planning, stand-ups, retrospectives, and technical reviews.Required Qualifications10+ years of hands-on experience in data engineering, including leadership of enterprise-scale data platform initiatives.Strong expertise with the Databricks Lakehouse Platform, including Delta Lake, Delta Live Tables, Databricks Workflows, and Unity Catalog.Proven experience implementing the medallion (Bronze/Silver/Gold) architecture for enterprise data platforms.Deep knowledge of distributed data processing using Apache Spark, including PySpark and Spark SQL.Extensive experience building scalable ETL/ELT pipelines for both batch and streaming data processing.Expert proficiency in Python and SQL for data engineering, transformation, validation, and pipeline development.Strong experience designing and managing data lakes and data warehouses using dimensional and lakehouse modeling techniques.Practical understanding of Large Language Models (LLMs) and GenAI concepts, including prompts, embeddings, vector databases, Retrieval-Augmented Generation (RAG), and supporting data pipelines.Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and its core data services.Demonstrated success leading migrations from legacy platforms such as Hadoop or traditional data warehouses to modern cloud and lakehouse environments.Strong expertise in distributed computing, data partitioning, and performance optimization techniques.Experience implementing data security, governance, lineage, encryption, IAM, and metadata management.Solid understanding of object-oriented programming principles, software design patterns, and CI/CD practices.Experience working within Agile/Scrum environments and mentoring engineering teams.Excellent analytical, problem-solving, stakeholder management, and communication skills.Preferred QualificationsExperience developing LLM-powered applications or AI data pipelines using frameworks such as LangChain, LlamaIndex, or similar technologies.Hands-on experience with vector databases, including Pinecone, Weaviate, FAISS, or pgvector.Industry certifications in Databricks, AWS, Azure, or Google Cloud Platform.Experience with streaming technologies such as Spark Structured Streaming or Apache Kafka.Familiarity with Infrastructure as Code (Terraform) and DevOps tools such as Git, Jenkins, or Azure DevOps.Exposure to MLOps and LLMOps practices, including model deployment and lifecycle management.Experience working with business intelligence and visualization tools such as Power BI, Tableau, or Amazon QuickSight.Pay: ₹3,000,000.00 - ₹3,500,000.00 per yearApplication Question(s):<ul><li>What is your notice period?</li></ul>Experience:<ul><li>Data Engineering: 10 years (Required)</li><li>Large language Model: 4 years (Required)</li><li>cloud technology: 4 years (Required)</li></ul>Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka

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