lead data architect

Altak Group Inc.

<div>
 <p>
  <strong>
   Job Title: Lead Data Scientist &ndash; Healthcare (AI Architecture Focus)
  </strong>
 </p>
 <p>
  <strong>
   Location: EAST coast (REMOTE)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <p>
  &bull; 7+ years of experience in data science, with recent experience in a Lead Data
 </p>
 <p>
  Scientist or similar senior role.
 </p>
 <p>
  &bull; Strong experience working in the healthcare domain (payer, provider, life
 </p>
 <p>
  sciences, digital health, or health tech).
 </p>
 <p>
  &bull; Hands-on experience designing and deploying ML models in production
 </p>
 <p>
  environments.
 </p>
 <p>
  &bull; Solid understanding of AI architecture concepts, including scalable ML
 </p>
 <p>
  systems, MLOps, and cloud-based deployments.
 </p>
 <p>
  &bull; Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow,
 </p>
 <p>
  PyTorch).
 </p>
 <p>
  &bull; Experience with SQL and big data technologies (e.g., Spark, Databricks,
 </p>
 <p>
  Snowflake).
 </p>
 <p>
  &bull; Strong understanding of data modeling, statistics, and machine learning
 </p>
 <p>
  algorithms.
 </p>
 <p>
  &bull; Experience working in cloud environments such as AWS, Azure, or GCP.
 </p>
 <p>
  &bull; Excellent communication skills with the ability to explain complex technical
 </p>
 <p>
  concepts to non-technical stakeholders.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <p>
  &bull; Prior experience collaborating closely with or acting as an AI Architect on
 </p>
 <p>
  enterprise-scale solutions.
 </p>
 <p>
  &bull; Experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow,
 </p>
 <p>
  SageMaker, Azure ML).
 </p>
 <p>
  &bull; Familiarity with NLP, computer vision, or generative AI use cases in healthcare.
 </p>
 <p>
  &bull; Knowledge of healthcare interoperability standards such as HL7, FHIR, or ICD
 </p>
 <p>
  codes.
 </p>
 <p>
  &bull; Experience leading cross-functional teams in a contract or consulting
 </p>
 <p>
  environment.
 </p>
</div>


Lead Data Scientist

TouMetis

<div><p><b>Principal Data Architect / Head of Data Engineering</b></p>
<p><b>
Location:</b> Hybrid (1-2 days in the office a week)<br>
<b>Type:</b> Full-time<br>
<b>Reports to:</b> Vice President, Data Science</p>
<p><b>
Role Overview</b></p>
<p>
We are seeking a <b>hands-on Principal Data Architect</b> to own and evolve our end-to-end data platform as the company scales. This role sits at the intersection of <b>data engineering, data architecture, and data management</b>, acting as the critical link between our <b>Data Science</b> and <b>Cloud Engineering</b> teams.</p>
<p>
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 <b>architect data as a first-class product</b>&mdash;one that is observable, queryable, versioned, and reusable by clients and internal teams alike.</p>
<p>
This is not a pure strategy role. You will <b>advise, design, and implement</b>, working hands-on with Python, SQL, and infrastructure-as-code while influencing architectural decisions across the organization.</p>
<p><b>
What You&rsquo;ll Do</b></p>
<p><b>
Own the Data Platform Vision</b></p>
<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>
<p><b>Bridge Data Science &amp; Cloud Engineering</b></p>
<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>
<p><b>Build Data as a Product</b></p>
<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>
<p><b>Architect for Scale &amp; Cost Efficiency</b></p>
<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>
<p><b>Enable Advanced Analytics &amp; ML</b></p>
<ul>
<li>Partner with the data science and software development teams to establish strong <b>MLOps and DataOps practices</b>.</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>
<p><b>Governance &amp; Client Engagement</b></p>
<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>
<p><b>Key Responsibilities</b></p>
<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>
<p><b>What We&rsquo;re Looking For</b></p>
<p><b>
Experience</b></p>
<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 <b>Python, SQL</b>, and infrastructure-as-code.</li>
<li>Experience across major cloud providers (<b>AWS</b>, 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>
<p><b>Mindset &amp; Skills</b></p>
<ul>
<li>A <b>DataOps-first mindset</b>: 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>
<p><b>Why This Role Matters</b></p>
<p>
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 <b>scalable, observable, and future-proof</b>, while remaining practical for a small, fast-moving team.</p>
<p>
If you enjoy <b>owning data end-to-end</b>, bridging disciplines, and building platforms that unlock real business and analytical value, we&rsquo;d love to talk.</p></div><p></p>

Principal Data Architect

Kasmoprav

<p>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.</p><p>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.</p><p>Key Responsibilities:</p><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><p>Required Skills:</p><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><p>Preferred Qualifications:</p><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><p>Pay: ₹100,000.00 - ₹120,000.00 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Work from home</li></ul><p>Work Location: Remote</p>

Lead AI and Data Platform Engineer

Lutron Electronics

<div>Overview:
<p>
Lutron is seeking a Lead Data Engineer in Coopersburg, PA or Philadelphia, PA to help build and scale a modern, cloud-native data and AI platform powering analytics, real-time intelligence, and next-generation products. In this role, you will shape the architecture and direction of our enterprise data ecosystem while applying your expertise in distributed systems, data platforms, and AI enablement.</p><p></p><p><br>
You will lead scalable data solutions, drive modern engineering practices, and mentor engineers across teams. Apply your experience in streaming pipelines, cloud platforms, and data modeling to deliver high-impact systems powering intelligent products and business insights.</p>
Responsibilities:
<ul><li><b>Guide</b><b> the development</b> of Lutron&rsquo;s cloud-based data ecosystem.</li><li><b>
Mentor</b> data engineers, software engineers, and data scientists.</li><li><b>
Drive best practices</b> in data engineering, governance, security, and scalability across teams.</li><li><b>
Streamline data access</b> and champion data literacy across the company.</li><li><b>
Process, clean, and </b><b>validate</b> the integrity of large-scale datasets.</li><li><b>
Architect cloud-based solutions</b> leveraging AWS and Microsoft platforms.</li><li><b>
Model data for the business</b>, enabling accurate analytics, KPIs, and decision-making across functional areas.</li><li><b>
Build and </b><b>maintain</b><b> infrastructure</b> to host, manage, and automate machine learning models and advanced analytics.</li><li><b>
Support AI/ML workflows</b> by developing scalable pipelines for model training, deployment, monitoring, and versioning.</li><li><b>
Integrate AI-driven tools</b> such as recommendation engines, natural language processing, and predictive analytics into enterprise systems.</li><li><b>
Optimize</b><b> data pipelines</b> for large-scale feature engineering, experiment tracking, and real-time inference.</li><li><b>
Collaborate with data scientists</b> to productionize AI models and agents, ensuring performance, reliability, and compliance.</li><li><b>
Ensure performance and data quality</b> through SQL programming and optimization.</li><li><b>
Communicate technical concepts</b> clearly to both technical and non-technical stakeholders.</li><li>
Provide <b>automated analytics, dashboards, and data visualizations</b> to empower business decisions.</li></ul><div></div><p><b><br>
Tools &amp; Technologies</b></p><p>
In this role, you will work with:</p><ul><li><b>
Cloud platforms:</b> AWS (S3, Glue, EKS, Lambda, SageMaker, Redshift, Athena, Bedrock, Agentcore)</li><li><b>
Databases:</b> SQL and NoSQL</li><li><b>
Visualization:</b> Power BI, Tableau, QuickSight</li><li><b>
Programming &amp; analytics:</b> Python (Pandas, NumPy, PySpark)</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Computer Engineering, or Software Engineering</li><li>
Minimum, cumulative GPA of 3.00 for all degrees earned</li><li><b>
8+ years</b> of experience in a related field</li><li>
Proven expertise in modern data modeling, real-time and batch data processing, and cloud-based architectures</li></ul><p></p><div><br>
Lutron Electronics&rsquo; position as the worldwide leader in innovative lighting control and shading solutions has enabled consistent, annual growth. Our company has cultivated a reputation for unsurpassed quality, a broad range of technologies and product offerings, and a strong commitment to servicing our customers worldwide. This has allowed the company to invest in developing new technologies and services, expand our technical capabilities and global presence, and to find and retain the best talent. Build your career with Lutron where you will enjoy competitive compensation and benefits while exploring many options for continued growth and education. Make a difference every day in our dynamic, people-centric, technology-driven organization. For more information, view our website at www.lutron.com</div><div></div><div><i><br>
Lutron Electronics is an Equal Opportunity &ndash; Affirmative Action &ndash; Employer. We welcome qualified, motivated applicants regardless of race, color, religion, sex, national origin, age, disability or genetics.</i></div><div></div><div><br>
#LI-VV1</div></div>

Lead Data Engineer

Hiscox

<div>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Permanent
 <br/>
 <br/>
 <strong>
  Build a brilliant future with Hiscox
  <br/>
  <br/>
 </strong>
 <strong>
  Reporting to: Re &amp; ILS Head of Data
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 London
 <br/>
 <br/>
 Type: Permanent
 <br/>
 <br/>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 The Lead Data Scientist is a crucial member of the
 <strong>
  extended
 </strong>
 RE&amp;ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
 <strong>
  Data Science and Machine Learning
 </strong>
 chapter.
 <br/>
 <br/>
 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).
 <br/>
 <br/>
 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
 <strong>
  hands-on
 </strong>
 actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.
 <br/>
 <br/>
 Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
 <strong>
  Group AI Governance Framework
 </strong>
 and maintains rigorous data governance standards. You will be accountable of this adherence.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About Hiscox Re &amp; ILS
  <br/>
  <br/>
 </strong>
 Hiscox Re &amp; ILS is located in
 <strong>
  Bermuda and London
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Experience And Structure
  <br/>
  <br/>
 </strong>
 <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).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Candidate Profile
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Main Experience Required Is
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </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.
 <br/>
 <br/>
 <em>
  Work with amazing people and be part of a unique culture
 </em>
</div>


Faculty

<div><h2 class="jobSectionHeader"><b>Why Faculty?<br>
</b></h2><p><br>
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we&rsquo;ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.</p><p></p><p>
We don&rsquo;t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.</p><p></p><p>
Our business, and reputation, is growing fast and we&rsquo;re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.</p><p></p><p>
AI is an epoch-defining technology, join a company where you&rsquo;ll be empowered to envision its most powerful applications, and to make them happen.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
About the team</b></h2><div><br>
</div><p>Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good.<br>
<br>
From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector.<br>
<br>
Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.</p><p></p><h2 class="jobSectionHeader"><b>
About the role</b></h2><div></div><p><br>
As a Lead Data Scientist, you'll take on a pivotal, entrepreneurial role, functioning as the technical expert who thrives on complexity and commercial impact. You will be responsible for setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects.<br>
<br>
<br>
<br>
This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring cross-functional teams, and actively shaping both our technical standards and long-term customer relationships.</p><div></div><h2 class="jobSectionHeader"><br>
<b>
What you'll be doing:</b></h2><div></div><ul><li><p><br>
Setting the technical direction for complex, business-critical projects and expertly balancing trade-offs between speed, innovation, and reliability.</p></li><li><p>
Designing and implementing reliable, production-grade technical solutions, ensuring comprehensive documentation of architectures and specifications.</p></li><li><p>
Defining project problems, developing clear roadmaps, and overseeing end-to-end delivery across multi-disciplinary workstreams.</p></li><li><p>
Leading technical scoping and feasibility studies for high-value sales opportunities and strategic customer engagements.</p></li><li><p>
Managing relationships and communications with demanding clients, fostering trust and aligning technical solutions with shared long-term commercial goals.</p></li><li><p>
Driving the adoption of best practices, shared resources, and robust technical processes across the wider Data Science craft.</p></li><li><p>
Mentoring and developing other data scientists and team members, actively contributing to the growth and technical excellence of the organisation.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Who we're looking for:</b></h2><div></div><ul><li><p><br>
You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape.</p></li><li><p>
You are a skilled technical leader, proficient in mentoring individuals, managing teams (including other managers), and rolling out impactful tools and workflows.</p></li><li><p>
You have proven project management expertise, capable of dividing complex, ill-defined problems into actionable, clearly defined workstreams with timelines you can defend.</p></li><li><p>
You are adept at managing ill-defined, high-risk tasks, consistently delivering innovative and practical outcomes under commercial pressure.</p></li><li><p>
You possess strong customer leadership skills, able to act as a trusted technical advisor and drive long-term strategic relationships with demanding clients.</p></li><li><p>
You excel at cross-functional collaboration, effectively aligning technical strategy with Engineering, Commercial (BD), and Infrastructure teams.</p></li><li><p>
You have experience extending technical oversight to business unit-level initiatives, using your vision to influence and contribute to organisational success.</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Our Interview Process</b></h2><div></div><ul><li><p><br>
Talent Team Screen (30 minutes)</p></li><li><p>
Introduction to the team (45 minutes)</p></li><li><p>
Technical Interview (90 minutes)
</p></li><li><p>Commercial Interview (60 minutes)</p></li></ul><p></p><p>
#LI-PRIO</p><p></p><h2 class="jobSectionHeader"><b>
Our Recruitment Ethos</b></h2><p>
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We&rsquo;re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.</p><p></p><p><b>
Some of our standout benefits:</b></p><ul><li><p>
Unlimited Annual Leave Policy</p></li><li><p>
Private healthcare and dental</p></li><li><p>
Enhanced parental leave</p></li><li><p>
Family-Friendly Flexibility &amp; Flexible working</p></li><li><p>
Sanctus Coaching</p></li><li><p>
Hybrid Working</p></li></ul><p></p><p>
If you don&rsquo;t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.</p></div><p></p>

CreateFuture

<div><p><b>Who we are</b></p>
<p>
CreateFuture is fast becoming the UK's most recognisable digital consultancy, with years of experience building digital products and services for major organisations whilst putting our people first. We have offices in the centre of Edinburgh, Leeds, Manchester, and London as well as remote employees located throughout the country.</p><br>
<p></p>
<p>
We are a team of creators - whether that's code, project plans, go to market strategies, culture initiatives, marketing campaigns, large language models or people policies. And together, with our clients, we create the future. This has seen us collaborate and partner across a multitude of industries and sectors, with the likes of PayPal, adidas, Natwest, FanDuel and Money Saving Expert, to name just a few.</p><br>
<p></p>
<p>
Our reputation as a partner determined to deliver high-quality, robust and thoughtful products has enabled us to scale to over 500 people in the last couple of years, and it is our amazing people - along with the safe, supportive and friendly culture we have built - that makes CreateFuture a great place to work. Don't just take our word for it though, we have been recognised by Best Workplaces UK multiple years in a row - across a number of categories - and our employee exit rate is astonishingly low.</p>
<p><b>
Join us on our journey&hellip; Let's create something awesome, together, today.</b></p><p></p><p><b><br>
About the role and team:</b></p>
<p>
We're looking for an experienced Lead Data Engineer to join our growing Data Practice, specialising in iGaming. You'll work as part of a multidisciplinary team delivering data solutions for some of the world's largest betting and gaming operators &mdash; organisations processing millions of events per day across sportsbook, casino, and exchange platforms.</p>
<p>
This is a role for someone who understands the pressures of the iGaming data landscape: sub-second odds feeds, high-stakes data integrity requirements, complex regulatory reporting, and large-scale platform migrations from legacy on-premises estates to cloud-native architectures on AWS.</p>
<p>
As a Lead, you'll shape technical direction, mentor engineers, and act as a trusted partner to client data and engineering teams.</p><br>
<p></p>
<h1 class="jobSectionHeader"><b>
What you'll be doing</b></h1>
<ul><li>Leading large-scale data migrations from on-premises or legacy platforms to cloud-native architectures on AWS &mdash; including Lakehouse designs using Databricks or Snowflake</li>
<li>Designing and building low-latency data pipelines that process real-time betting events, odds updates, and market data at high throughput</li>
<li>Implementing robust data integrity controls &mdash; validation, reconciliation, and auditability &mdash; across betting, trading, and customer data domains</li>
<li>Architecting streaming and micro-batch solutions using AWS Kinesis, Apache Kafka, or MSK for real-time sportsbook and in-play data feeds</li>
<li>Working with AWS platform services including S3, Glue, Lambda, Athena, Redshift, Lake Formation, Step Functions, and MWAA</li>
<li>Supporting regulatory and compliance reporting &mdash; ensuring data pipelines meet the auditability and lineage requirements of the UK Gambling Commission and international regulators</li>
<li>Leading and mentoring a team of data engineers, setting standards for code quality, testing, and documentation</li>
<li>Contributing to technical proposals, pre-sales scoping, and architecture reviews with iGaming clients</li></ul><br>
<p></p>
<h1 class="jobSectionHeader"><b>
We'd love to talk to you if...</b></h1>
<h2 class="jobSectionHeader"><b>You know the iGaming data landscape</b></h2>
<ul><li>You've worked in or closely with sportsbook, exchange, or casino platforms &mdash; and understand the data models behind markets, selections, bets, and settlements</li>
<li>You've built or maintained low-latency data feeds &mdash; odds ingestion, in-play event streams, price change feeds &mdash; where milliseconds matter</li>
<li>You understand the data integrity challenges specific to betting: reconciliation between trading and settlement systems, detection of data drift, and auditability for regulatory purposes</li>
<li>You've delivered or contributed to large-scale data migrations &mdash; moving high-volume transactional or event data from legacy estates to the cloud without losing fidelity or uptime</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
You're strong on AWS data engineering</b></h2>
<ul><li>AWS is your primary cloud &mdash; you're confident across Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, and Step Functions</li>
<li>You've built real-time or near-real-time pipelines using streaming frameworks &mdash; Kinesis Data Streams, Kafka, Flink, or Spark Streaming</li>
<li>You understand AWS cost models and how to optimise high-throughput workloads &mdash; Spot compute, reserved capacity, and right-sizing for event-driven architectures</li>
<li>AWS certifications are a bonus &mdash; Solutions Architect or Data Analytics Specialty</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
You know your tools</b></h2>
<ul><li>Solid experience with Python, SQL, and Spark &mdash; and pipeline tools such as dbt or Airflow</li>
<li>Comfortable with data quality frameworks and testing &mdash; Great Expectations, dbt tests, or custom validation layers</li>
<li>Experience with infrastructure-as-code (Terraform, AWS CDK) is a plus</li>
<li>Familiar with broader cloud platforms &mdash; Azure (Data Factory, Synapse) or GCP (Dataflow, BigQuery) &mdash; is beneficial but not essential</li></ul><br>
<p></p>
<h2 class="jobSectionHeader"><b>
You thrive in a consultancy setting</b></h2>
<ul><li>You've led or mentored data engineers and are comfortable owning technical direction on a complex engagement</li>
<li>You can navigate the politics of a large operator &mdash; multiple teams, competing priorities, and legacy systems that can't just be switched off</li>
<li>You balance hands-on delivery with client engagement, and know when to push back on scope and when to be pragmatic</li></ul><br>
<p></p>
<h1 class="jobSectionHeader"><b>
Tech snapshot</b></h1>
<div>
<div><div><div><p><b>Primary cloud</b></p></div><div><br>
<p>
AWS &mdash; Glue, Lambda, Athena, S3, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA</p></div></div><div><br>
<div>
<p><b>Streaming</b></p></div><div><br>
<p>
AWS Kinesis, Apache Kafka / MSK, Apache Flink, Spark Streaming</p></div></div><div><br>
<div>
<p><b>Languages</b></p></div><div><br>
<p>
Python, SQL, Spark</p></div></div><div><br>
<div>
<p><b>Pipeline tools</b></p></div><div><br>
<p>
dbt, Airflow / AWS MWAA, AWS Glue</p></div></div><div><br>
<div>
<p><b>Platforms</b></p></div><div><br>
<p>
Databricks, Snowflake, Amazon Redshift</p></div></div><div><br>
<div>
<p><b>Data quality</b></p></div><div><br>
<p>
Great Expectations, dbt tests, custom reconciliation frameworks</p></div></div><div><br>
<div>
<p><b>IaC / DevOps</b></p></div><div><br>
<p>
Terraform, AWS CDK (desirable)</p></div></div><br>
</div>
</div><p></p><div><h3 class="jobSectionHeader"><b>What we'll offer you:</b></h3>
<p>
We trust people to do their best work. That means flexibility over rigid rules, impact over activity, and real investment in your growth both professionally and personally. You'll be part of a supportive, and friendly culture, surrounded by smart, curious people who care deeply about what they do.<br>
<br>
We offer flexible working, including hybrid and remote options. Our office hubs are located in Edinburgh, Leeds, Manchester, London and Bulgaria, with occasional travel to client sites or CreateFuture offices when needed.</p>
<p>
We trust you to manage your time balancing collaboration with client time and focused work. What matters is the impact you have, not how busy you look.</p>
<h3 class="jobSectionHeader"><b>
Our hiring process</b></h3>
<p>
We try to keep our hiring process clear, fair and respectful of your time. We aim to get back to everyone who applies and we will be upfront about where you are in the process.</p>
<p>
It usually looks like this:</p>
<ul>
<li>Call with our Talent Acquisition Team</li>
<li>Role specific capability interview</li>
</ul>
<p>Depending on the role, we might also ask you to do a short presentation, a practical or technical task or have a values focused conversation. We will explain what is involved before anything happens.</p>
<h3 class="jobSectionHeader"><b>
Inclusion at CreateFuture</b></h3>
<p>
We believe diverse teams build better workplaces and better products. We want CreateFuture to be a place where people feel able to be themselves and do their best work.</p>
<p>
If you need any adjustments or support during the application process, just. We will do what we can to help.</p>
<p>
We look forward to your application!</p></div></div>

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