data engineer

data scientist

senior data scientist

senior data engineer

analytics engineer

data sciences director

Royal BAM Group

<div><div><div><h2 class="jobSectionHeader"><b>Building a sustainable tomorrow</b></h2>
</div><div><div><p>
What if your next step led further than you thought?<br>
With a reputation built over 150 years, BAM has the depth, scale and momentum to offer you more than a next step. We offer you a path. One that can take you across sectors, into leadership, or even around the world. We invest in development because we want our people to stay and grow. Wherever you want to go, we&rsquo;ll help you get there.</p></div><div><p>
BAM UK&amp;I are recruiting a UK &amp; I Data Director to join our Finance team from any UK office on a hybrid basis.</p></div><div><p>
The UK&amp;I Data Director for BAM UK &amp; Ireland is a senior role, responsible for the division&rsquo;s data strategy, governance, management and utilisation, focusing on turning data into a valuable company asset.</p></div><div><p>
The UK&amp;I Data Director will have the authority to recommend changes to divisional processes and, where appropriate, technology to achieve the above role objectives subject to BAM governance procedures.</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Making Possible</b></h2>
</div><div><p>
Senior executive leading enterprise data strategy, governance, and analytics for a major infrastructure contractor. Ensures data supports project delivery, financial performance, and regulatory compliance. Integrates project, cost, safety, people and environmental data to drive performance insight</p><p>
Degree in Data Science, Civil Engineering, Construction Management, or Business (often MSc/MBA) with a strong academic background and continuous professional development.</p><p>
Proven leadership of successful process and data transformation projects. Experience in managing and leading data management, reporting &amp; analytics teams. Proven success in developing enterprise-wide data and digital strategies within construction or infrastructure sectors. Demonstrated outcomes in improving project delivery, data quality, cost forecasting, and operational efficiency through data-driven decision-making.</p><p>
Deep understanding of European and UK data and construction standards &mdash; GDPR, ISO19650 (BIM), EU Taxonomy, CSRD, and national infrastructure digital frameworks. Ensures compliance with safety, environmental, and financial reporting requirements.</p><p>
Oversees integration of project, finance, procurement, and asset data across the enterprise. Fundamental understanding of core business processes, data and their associated technical solutions. Establishes data standards for cost control, planning, and performance reporting. Embeds automation and analytics in project controls and asset lifecycle management.</p><p><b>
Skills</b></p><p>
Works closely with project managers, finance leads, engineers, and IT to align data priorities with delivery and financial objectives. Works effectively as part of an executive team and is flexible to step in and assist whenever and wherever required.</p><p>
Champions digital transformation, automation, and process improvement across all project and corporate data workflows.</p><p>
Awareness of BIM, data governance, IoT data integration, cloud analytics, and AI applications in construction (e.g. predictive maintenance, safety analytics).</p><p>
Leads cultural change towards data-driven project management and decision-making.</p><p>
Supports upskilling in digital tools and data literacy.</p><p>
Working closely with the executive leadership especially the UK&amp;I Chief Operating Officer, Executive Director of Finance and the IT Director on data driven insights and strategic recommendations in a constructive, empowering and collaborative manner, examples may include data strategy, ROI of digital initiatives, and evidence-based performance management.</p><p>
Influences client and partner data collaboration standards.</p><p>
Creates clarity through dashboards, storytelling, and visual analytics; communicates data strategy across a dispersed and multidisciplinary workforce.</p><p>
Works effectively across all levels of the organisation to achieve shared goals and builds partnerships with technology vendors, joint venture partners, and clients to ensure interoperability and shared data value across the construction ecosystem.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your team</b></h2>
</div><div><p>
This role can be based from any UK&amp;I office, with a hybrid working pattern of three days per week in the office.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What&rsquo;s in it for you?</b></h2>
</div><div><div>
In addition to an attractive salary we offer a significant benefits package which could include:<br>
<ul><li> Competitive salary</li><li> A wide range of family friendly policies</li><li> Private healthcare</li><li> Life assurance</li><li> 26 days holiday</li><li> 2 wellbeing days</li><li> 1 volunteering day</li><li> Personal and professional development</li><li> Flexible benefit pot</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
The application process</b></h2>
</div><div><p>
BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel we need to do something to make it more accessible to you, do not hesitate to speak with one of our team, and we will do our best to support you.</p><p>
For more information or an informal conversation about this exciting career opportunity please contact Paul Howes, Recruitment Manager paul.howes@bam.com</p><p>
Closing date 15th July</p><p>
IND1</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What do you bring to the role?</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>About BAM</b></h2>
</div><div><p><i>
Building a sustainable tomorrow. That&rsquo;s our mission and our promise at BAM. It&rsquo;s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.</i></p><p><i>
We strive to create an environment where everybody feels welcome and valued. We&rsquo;re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.</i></p></div></div></div>

UK&I Data Director

Novartis

<div><div><h3 class="jobSectionHeader"><b>Summary
</b></h3><div>Independently lead agentic AI initiatives within the SPPO Data Science and AI Strategy in Global Drug Development, directly contributing to faster delivery of transformative medicines to patients.<br>
<br>
Role model a culture of AI-augmented, data-driven decision-making across GDD functions &mdash; spanning clinical development, translational research, and regulatory.<br>
<br>
Deep technical expert with accountability for agentic AI systems that reduce time to insight and time to patient across global development programs.<br>
<br>
Shape the agentic AI direction for your organizational domain, grounded in the broader GDD strategy set by leadership.<br>
<br>
Where managing a team: empower, guide, and coach data scientists and AI engineers to deliver at the frontier of applied AI in drug development.</div>
</div><div><h3 class="jobSectionHeader"><b>About the Role
</b></h3><div><p><b>Internal job title:</b> Director</p><p><b>
Position Location</b>: Hybrid working arrangement, London <b>#LI-Hybrid</b></p><p></p><p>
This is a senior AI leader role within Novartis Global Drug Development (GDD), responsible for leading the design, build, and productionization of agentic AI systems &mdash; think multi-agent architectures, tool-using LLMs, and autonomous workflow orchestration &mdash; to accelerate drug development timelines and time-to-patient. The role sits at the intersection of deep technical expertise (agentic frameworks, RAG, governance, data foundations) and strategic influence, shaping the agentic AI direction for its domain while collaborating across clinical development, translational research, and regulatory functions.</p><p></p><p>
Beyond hands-on design and delivery, the position carries accountability for agent evaluation frameworks (reliability, hallucination risk, auditability), agentic governance, stakeholder coordination across globally dispersed teams, and external visibility through publications and conference presentations. Where a team is in scope, the leader is expected to coach and develop data scientists and AI engineers at the frontier of applied AI in pharma. It requires 10+ years of production AI/ML experience with specific fluency in agentic design patterns and responsible-AI practices.</p><p></p><p><b>
 Major Accountabilities:</b></p><p></p><ul><li>
Develop and execute a roadmap for agentic AI systems &mdash; including multi-agent architectures, tool-using LLMs, and autonomous workflow orchestration &mdash; across multiple business verticals</li><li>
Architect, prototype, and productionize agentic pipelines: agent orchestration, memory and context management, tool integration, and human-in-the-loop governance frameworks</li><li>
Define agent evaluation frameworks covering reliability, hallucination risk, task completion rate, and regulatory-grade auditability</li><li>
Design and implement the data foundations (master data, governance, quality) that agentic systems depend on for grounded, trustworthy decision-making</li><li>
Identify and integrate internal/external data sources, APIs, and knowledge bases as agent-accessible tools with appropriate access controls and governance</li><li>
Strategically coordinate and prioritize team resources across initiatives; proactively manage risks, stakeholder expectations, and competing priorities</li><li>
Collaborate with globally dispersed stakeholders, external partners, and cross-functional teams to translate business problems into agentic AI solutions</li><li>
Proactively evaluate the evolving agentic AI landscape (e.g., reasoning models, agent frameworks, MCP, RAG) and guide technology selection</li><li>
Provide agile consulting and guidance on unplanned, high-priority analytical and AI challenges</li><li>
Publish and present at conferences and academic institutions; serve as a Novartis ambassador for agentic and applied AI</li><li>
Coach and develop junior data scientists and AI engineers in agentic design patterns and responsible AI practices</li></ul><p></p><p><b>
Key Performance Indicators:</b></p><p></p><ul><li>
Agentic system deployment rate and measurable business impact per vertical</li><li>
Agent reliability and task-completion metrics vs. baseline</li><li>
Governance and compliance endorsement at program tollgates</li><li>
Successful implementation against enterprise data and AI program objectives</li></ul><p></p><p><b>
Minimum Requirement: Work Experience:</b></p><p></p><ul><li>
Advanced degree in related field preferred. 10+ years in Data Science or AI, with demonstrable experience building and deploying production AI/ML systems</li><li>
Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, CrewAI, or equivalent)</li></ul><p></p><p><b>
Skills:</b></p><p></p><ul><li>
Agentic AI system design and orchestration</li><li>
LLM tool-use, RAG, and multi-agent coordination patterns</li><li>
AI governance and responsible AI (EU AI Act awareness a plus)</li><li>
Machine learning, deep learning, NLP and GenAI</li><li>
Data governance, quality, and strategy</li><li>
Statistical analysis and data visualization</li><li>
Change management and organizational awareness</li><li>
Stakeholder engagement and business value creation</li><li>
Mentorship and learning agility</li></ul><p></p><p><b>
Language:</b></p><p></p><ul><li>
English</li></ul><p></p><p><b>
Rewards</b></p><p>
At Novartis, we&rsquo;re committed to reimagining medicine together - and rewarding the people who make it happen.</p><p></p><p>
The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.</p><p></p><p>
Expected Annual Base Salary Range for role:</p><ul><li>
London: 100,240.00 - 143,200.00 - 186,160.00 GBP Annual</li></ul><p></p><p>
The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.
</p><p></p><p>In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.
</p><p></p><p>Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.</p><p></p><p>
Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf
</p><p><i>Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.</i>
</p><p></p><p><b>Commitment to Diversity and Inclusion / EEO paragraph:</b></p><p>
Novartis is committed to building an outstanding, inclusive work environment and diverse teams&rsquo; representative of the patients and communities we serve.</p><p></p><p><b>
Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Benefits and Rewards: </b>Read our handbook to learn about all the ways we&rsquo;ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards
</p></div></div><div><div><p><b>Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Benefits and Rewards:</b> Learn about all the ways we&rsquo;ll help you thrive personally and professionally.<br>
Read our handbook (PDF 30 MB)</p></div></div></div>
<br><div><div>Primary location salary range
<div>&pound;100,240.00 - &pound;186,160.00
</div></div><div>Division
<div>Development
</div></div><div>Business Unit
<div>Development
</div></div><div>Location
<div>United Kingdom
</div></div><div>Site
<div>London (The Westworks)
</div></div><div>Company / Legal Entity
<div>GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.
</div></div><div>Functional Area
<div>Data and Digital
</div></div><div>Job Type
<div>Full time
</div></div><div>Employment Type
<div>Regular
</div></div><div>Shift Work
<div>No</div></div></div><div></div>

Director Data Science & Agentic AI

<div>As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you.<p><b><br>
Make an Impact at RSM UK</b></p><p>
At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance.<br>
<br>
Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it&rsquo;s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses.<br>
<br>
It&rsquo;s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships.</p><p><br>
The Data Engineering &amp; Analytics Associate Director is responsible for establishing and leading the data engineering and analytics capability within the Forensic Technology team. The role combines hands-on technical delivery with team leadership and direct client engagement.</p><p>
Day-to-day, you will design and build data pipelines, analytical models, and automated forensic testing on Microsoft Fabric and Databricks using Python, PySpark, and SQL.</p><p>
You will work directly with clients, lawyers, and regulators understanding their problems, proposing data-driven solutions, and delivering through to completion.</p><p>
You will also be responsible for building the team around you: hiring and mentoring junior staff, setting coding and governance standards, and creating the reusable tools and IP that underpin a scalable, consistent analytics capability. This is a greenfield role therefore, you will contribute to defining how the function operates.</p><p><b>
You will make an impact by:</b></p><p>
You will help establish the data engineering and analytics function, choosing the patterns, setting the standards, and building the team. You will be responsible for delivering analytics solutions directly to clients from day one.</p><ul><li>
Designing and building production-grade data pipelines on Microsoft Fabric and Databricks to support forensic investigations, transaction analysis, and red flag testing.</li><li>
Presenting analytical findings directly to clients, lawyers, and regulators as part of live forensic engagements.</li><li>
Setting the technical direction for the team: defining coding standards, peer review processes, data governance practices, and documentation requirements.</li><li>
Leading the strategy to leverage and integrate AI into process and output.</li><li>
Mentoring and developing junior data engineers and analysts, and leading hiring as the team grows.</li><li>
Building reusable forensic analytics tools and templates that make the team faster and more consistent over time.</li><li>
Leading proposals and business development activity for forensic data analytics engagements.</li><li>
Collaborating with analytics professionals across the wider Consulting practice through a community of practice.</li></ul><p><b><br>
What we are looking for:</b></p><ul><li>
Strong experience with Microsoft Fabric or previous Azure Synapse components, Databricks an advantage.</li><li>
Strong Spark, SQL and Python skill.</li><li>
Solid understanding of data pipeline design, data modelling, and data governance.</li><li>
Working experience with Power BI and version control (Git, Azure DevOps or similar).</li><li>
Experience with Alteryx is desirable but not essential.</li><li>
Typically 5+ years in data engineering, analytics, or a closely related role.</li><li>
Experience leading a technical team or workstream, including mentoring junior staff.</li><li>
Ability to work with clients to understand their problems, propose data analytics solutions to address their requirements, and lead the delivery of those solutions from scoping through to completion.</li><li>
Experience in professional services, consulting, or a regulated environment is an advantage particularly in forensic or financial crime specialisms.</li></ul><p><b><br>
What we can offer you:</b></p><p>
We recognise that our people are our most important assets. That&rsquo;s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.</p><ul><li>
Hybrid working although travel to your local office will be required weekly.</li><li>
27 Days Holiday.</li><li>
Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.</li><li>
Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.</li></ul><br>
Diversity and Inclusion at RSM<br>
At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.</div>

Data Engineering & Analytics Associate Director

Brainlabs

<div><div><p>Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we were built by engineers before we were a media agency. Today, 1,000+ Brainlabbers across five continents use our proprietary agents, built on 32 media tools and over 2,500 logged experiments, to help brands connect every channel they plan and buy to one thing: the bottom line.</p></div><p>
As the Director, Data Science, you will lead Brainlabs' Marketing Mix Modelling capability, overseeing the deployment of Google Meridian and other advanced modelling projects for our clients. You are accountable for the technical rigour of our data science output and for translating complex statistical findings into clear, commercially actionable insight that clients can use to make better decisions with their media budgets. Working at the intersection of advanced analytics and senior client engagement, you will build our data science practice and establish Brainlabs as the agency partner that makes MMM work in practice, not just in theory.</p>
<h3 class="jobSectionHeader"><b>
What you do</b></h3>
<ul><li><b>Lead MMM Deployments: </b>You own the end-to-end delivery of Google Meridian and other MMM projects for clients, from initial scoping and data preparation through to model calibration, scenario planning, and insight presentation.</li>
<li><b>Develop and Deliver Modelling Projects: </b>You scope and lead a broader range of data science engagements beyond MMM, identifying where advanced modelling can solve real client problems and designing solutions that are technically sound and commercially relevant.</li>
<li><b>Translate Complexity Into Action: </b>You distil the outputs of complex statistical models into narratives that senior client stakeholders can understand and act on, connecting model findings directly to media budget decisions and business strategy.</li>
<li><b>Drive AI Adoption Across the Team: </b>You lead the integration of AI tools, including Claude, into the data science team's ways of working &mdash; from accelerating code development and model documentation to improving how technical outputs are packaged and communicated to clients.</li>
<li><b>Own Senior Client Relationships: </b>You are Brainlabs' senior data science point of contact for key clients, presenting findings and recommendations at CMO and VP level and building confidence in our analytical approach.</li>
<li><b>Build and Lead the Data Science Team: </b>You manage and develop a team of data scientists, setting technical standards, running structured development conversations, and ensuring the team's output meets the quality bar the practice needs.</li>
<li><b>Grow the Practice: </b>You drive the development of Brainlabs' data science proposition, contributing to new business pitches, publishing thought leadership, and building the processes that allow the practice to scale.</li>
</ul><h3 class="jobSectionHeader"><b>Who you are</b></h3>
<ul><li><b>An MMM Expert: </b>You have extensive, hands-on experience with Marketing Mix Modelling, including working knowledge of Meridian, Robyn, and/or PyMC, and a track record of delivering MMM projects that have driven real client decisions.</li>
<li><b>Technically Proficient: </b>You are fluent in Python and experienced with GCP, with a strong grounding in Bayesian statistics and the principles underpinning modern media attribution.</li>
<li><b>AI-Forward: </b>You actively explore how AI tools can augment data science practice, from speeding up code development and model documentation to helping non-technical stakeholders engage more confidently with complex outputs.</li>
<li><b>A Skilled Communicator of Complexity: </b>You can take the output of a sophisticated model and tell a story with it that a CMO finds compelling and a media team can act on, without sacrificing the integrity of the underlying analysis.</li>
<li><b>An Experienced Team Leader: </b>You have led teams of data scientists, with a genuine commitment to their development and a clear view of what good technical mentorship looks like.</li>
<li><b>Commercially Astute: </b>You understand how data science creates commercial value for clients and for Brainlabs, and connect technical decisions to business outcomes in conversations with senior stakeholders.</li>
<li><b>A Practitioner-Leader: </b>You remain close to the technical work, not just the management of it, and hold yourself to the same standard of rigour you expect from your team.</li>
</ul><h3 class="jobSectionHeader"><b>How you succeed</b></h3>
<ul><li><b>Client Outcomes: </b>Clients can point to specific budget decisions informed by your modelling work, and you can evidence the incremental value delivered through the projects you lead.</li>
<li><b>Model Quality: </b>Every MMM deployment you oversee meets a documented quality standard, with calibration, validation, and scenario outputs that you and your team can defend under scrutiny.</li>
<li><b>Clear Communication: </b>Your data science outputs land with senior client stakeholders, evidenced by positive feedback and by clients returning to Brainlabs for further analytical work.</li>
<li><b>AI Adoption: </b>You achieve documented AI adoption across the data science team's workflows, with clear evidence of time saved or quality improved as a result.</li>
<li><b>Team Development: </b>The data scientists in your team are growing in capability, and you can point to specific examples of how your leadership has raised their technical standards or broadened their skills.</li>
<li><b>Practice Growth: </b>You contribute to at least one new business pitch per quarter and publish thought leadership that builds Brainlabs' data science credentials in the market.</li>
<li><b>Commercial Impact: </b>The data science practice grows its revenue and client base under your leadership, and you can evidence progress against agreed commercial targets over time.</li>
</ul><div><p><b>
What happens next?</b></p>
<p>
We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.</p>
<p></p>
<p><i>Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!</i></p>
<p><i>
Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.</i></p></div></div>

Director, Data Science

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
</p><p>As an Applied AI ML Director - NLP / LLM and Graphs within the Chief Data &amp; Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.</p><p>
</p><p>Job Responsibilities</p><ul><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li><li>
Lead, mentor, and inspire a team of AI engineers, fostering a culture of excellence, innovation, and continuous learning
</li><li>Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business</li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community<br>
<li>
</li></ul><p>Required qualifications, capabilities, and skills</p><ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field.</li><li>
Solid background in NLP, LLM and graph analytics and hands-on experience and solid understanding of machine learning and deep learning methods</li><li><p>
Hands on experience building agentic AI / multi-agent systems within regulated or compliance-driven environments</p><p>
</p><p>Recent hands-on experience training, deploying models and pipelines</p><p>
</p></li><li>Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals, with a focus on agentic systems and LLM evaluation</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul><p>
</p><p>Preferred qualifications, capabilities , and skills:</p><ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul><p>
</p><p><b>About MLCOE</b><br>
The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning</p><p>
For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe.
</p><p></p><b>ABOUT US</b>
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J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
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<b>ABOUT THE TEAM</b>
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Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director - NLP / LLM and Graphs

Houseful

<div><p>Alto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each year. We create software solutions that connect businesses and consumers, delivering a one-stop shop for estate agents and home builders. Our goal is to drive efficiency, speed up transactions, reduce risk, and improve the end-customer experience. While we&rsquo;re not a start-up, we have a start-up mindset and want our people to operate with this mindset so that we can achieve our ambitions.</p><p>
</p><p><b>The Role</b></p><p>
We are looking for a Data Science Lead to build and lead Alto&rsquo;s data science capability from the ground up. We have rich data flowing through our Mission Control platform and a clear commercial ambition to turn it into predictive insight &mdash; this hire gives us the leadership and technical depth to make that happen. You&rsquo;ll work at the intersection of data, product, and commercial strategy, with direct access to executive leadership and a platform that&rsquo;s ready to be exploited.</p><p>
</p><p><b>What You&rsquo;ll Do</b></p><ul><li>Define and own Alto&rsquo;s data science roadmap, prioritising use cases based on measurable ROI and commercial impact.</li><li>Build, deploy and maintain production-grade predictive models across churn, customer health, propensity and capacity forecasting.</li><li>Design and analyse experiments to test pricing, product and operational changes, raising the standard of statistical rigour across the business.</li><li>Partner with Platform and Data Engineering to productionise models on Mission Control, defining data quality and feature requirements for reliable modelling.</li><li>Develop segmentation and scoring frameworks that Customer Operations and Commercial teams can act on directly.</li><li>Work with the Head of AI Operations to identify automation opportunities grounded in data science outputs.</li><li>Surface insights through ThoughtSpot and AI-enabled reporting for senior stakeholders, up to executive level.</li><li>Mentor analysts and grow data science capability across the business, building a team rather than a one-person silo.</li></ul><p>
</p><p><b>Who You Are</b></p><ul><li><b>A Builder: </b>You don&rsquo;t just advise on data science &mdash; you write production code, ship models, and take personal accountability for outputs that are actually used.</li><li><b>Commercially Sharp: </b>You understand SaaS metrics (MRR, churn, NRR, GRR) and have personally connected data science work to measurable business outcomes, not just model performance.</li><li><b>A Technical Authority: </b>You bring expert-level Python and SQL, a solid grounding in statistics and causal inference, and a track record of models in production &mdash; not just notebooks.</li><li><b>Cross-Functionally Effective: </b>You move comfortably between engineering, commercial, and operational stakeholders, translating between data science and business outcomes without losing either audience.</li><li><b>Outcome-Focused: </b>You prioritise ruthlessly, track ROI on your work, and resist the pull of interesting-but-unactionable projects.</li><li><b>Comfortable in Ambiguity: </b>You can define the problem as well as solve it &mdash; you don&rsquo;t need a fully formed brief to make progress, and you bring structure where there isn&rsquo;t any.</li></ul><p>
</p><p><b>Our Technology Stack</b></p><p>
<b>Languages</b></p><ul><li>Python, SQL</li></ul><p><b>
BI &amp; Reporting</b></p><ul><li>ThoughtSpot</li></ul><p><b>
Platform</b></p><ul><li>Mission Control (Alto&rsquo;s internal data platform)</li></ul><p><b>
AI / ML</b></p><ul><li>Modern ML frameworks; experimentation and causal inference tooling; LLMs and practical AI applications</li></ul><p>
</p><p><b>Why Join Alto?</b></p><p>
This is a rare opportunity to build a data science function with a blank sheet, executive sponsorship, and a data platform already in production. You&rsquo;ll have the mandate and the access to make data science a structural part of how Alto operates &mdash; from retention and pricing to operational efficiency and intelligent automation. For a technically strong data scientist who wants to lead, not just contribute, this is that role.</p><b><br>
Benefits</b><ul><li><br>
<b>Hybrid &mdash; 2 days/week in London HQ</b></li><li><b>Everyday Flex</b> &mdash; greater flexibility over where and when you work</li><li><b>25 days annual leave</b> &mdash; plus extra days for years of service</li><li><b>Day off for volunteering &amp; Digital detox day</b></li><li><b>Festive Closure</b> &mdash; business closed between Christmas and New Year</li><li><b>Cycle to work and electric car schemes</b></li><li><b>Free Calm App membership</b></li><li><b>Enhanced Parental leave</b></li><li><b>Fertility Treatment Financial Support</b></li><li><b>Group Income Protection &amp; private medical</b></li><li><b>Gym on-site in London</b></li><li><b>7.5% pension contribution by company</b></li><li><b>Discretionary annual bonus up to 10%</b> &mdash; of base salary</li><li><b>Talent referral bonus up to &pound;5K</b></li></ul></div>

Data Science Lead

IIT Software

<p>IIT Software Limited is a UK-based IT delivery and consulting company providing specialist technology services to clients across the UK and internationally. We work across Life Sciences, Healthcare, and Enterprise Software sectors, delivering data-driven solutions and consulting services. We are expanding our delivery capability and are looking for an experienced Senior Data Analyst with proven Life Sciences and Healthcare sector experience to join our team.</p><p><b>The Role</b></p><p>This is a specialist role requiring deep domain knowledge of Life Sciences and Healthcare data. You will be embedded within a delivery team supporting our client's data mapping, transformation, and schema management requirements. You must be comfortable working with complex, multi-source datasets in a life sciences context and be able to translate AI and business data requirements into clear technical specifications.</p><p>This is a remote, UK-based, full-time position. You will be employed directly by IIT Software Limited.</p><p><b>Mandatory Requirements</b></p><p>Candidates must meet ALL of the following criteria to be considered for this role:</p><ul><li>Minimum 3 years of direct, hands-on experience working with Life Sciences and/or Healthcare data - this is a strict requirement and non-negotiable</li><li>5+ years of overall experience in data analysis with a focus on data mapping, data transformation, and schema management</li><li>Strong proficiency in SQL for data querying, manipulation, and profiling</li><li>Proficiency in Python (Pandas and related libraries) for data analysis and automation</li><li>Solid understanding of data structures and formats including JSON, CSV, XML, and relational and non-relational database schemas</li><li>Experience with ETL/ELT concepts and processes</li><li>Ability to translate business requirements and AI data needs into technical data mapping specifications</li><li>Excellent analytical and problem-solving skills with strong attention to detail</li><li>Strong communication and collaboration skills</li><li>Candidates must have the right to work in the United Kingdom</li></ul><p><b>Key Responsibilities</b></p><ul><li>Lead and deliver data mapping, data transformation, and schema management activities within the Life Sciences and Healthcare domain</li><li>Review and interpret complex datasets from a variety of sources specific to life sciences and healthcare environments</li><li>Write and optimise SQL queries for data querying, manipulation, and profiling</li><li>Develop and maintain Python scripts (Pandas and related libraries) for data analysis and automation</li><li>Work with a range of data structures and formats including JSON, CSV, and XML</li><li>Support ETL/ELT processes and contribute to data pipeline development</li><li>Translate business requirements and AI data needs into clear technical data mapping specifications</li><li>Collaborate with cross-functional teams including technical, business, and client stakeholders</li><li>Contribute to data governance and quality assurance activities</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Information Systems, or a related quantitative field</li><li>Experience with customer data platforms (CDPs) or CRM systems such as Salesforce</li><li>Familiarity with data warehousing solutions such as Snowflake, BigQuery, or Redshift</li><li>Understanding of data preparation requirements for AI and Machine Learning models</li><li>Experience with data visualisation tools such as Tableau or Power BI</li><li>Familiarity with cloud data platforms such as AWS, Azure, or GCP</li><li>Knowledge of data governance principles and best practices</li><li>Experience in a startup or Agile development environment</li></ul><p><b>What We Offer</b></p><ul><li>Competitive salary of &pound;50,000 per annum</li><li>Workplace pension scheme</li><li>Flexible remote working arrangements</li><li>Opportunity to work on cutting-edge data and AI projects in the life sciences and healthcare sector</li><li>Supportive and collaborative team environment</li></ul><p>Pay: Up to &pound;50,000.00 per year</p><p>Benefits:</p><ul><li>Additional leave</li><li>Company pension</li><li>Flexitime</li><li>Work from home</li></ul><p>Work Location: Hybrid remote in London E14</p>

Senior Data Analyst - Life Sciences and Healthcare (essential)

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