data scientist

analytics engineer

senior analytics engineer

senior data scientist

data science manager

director of analytics

Dentsu

<div>The purpose of this role is to facilitate delivery of best in class analytic and data assessments and roadmaps per established processes and templates in concert with other business disciplines, to manage and develop the team and serve as a point of escalation as needed.<p></p><p><b>
Job Description:</b></p><div><div><p><b>
Role Overview</b></p></div><div><p>
Analytics is a core strategic capability within dentsu, enabling smarter decisions and sustainable growth for our clients. As a Global Analytics Director, you will have two focus areas:</p></div><div><p><br>
Client Impact: Deliver advanced analytics solutions that drive measurable business outcomes for global clients</p></div><div><p><br>
Solutions &amp; Innovation: Develop scalable analytics, AI and data science solutions that can be reused, productised and embedded across the dentsu network</p></div><p></p><div><p><br>
This is a hands-on leadership role combining technical expertise, product thinking and client engagement. You will translate complex data, modelling and AI capabilities into actionable insights, solutions and products that drive growth. You will work closely with the Global Analytics leads and cross-functional teams to evolve dentsu&rsquo;s analytics proposition, moving from bespoke delivery to scalable, AI-enabled solutions and products.</p></div><p></p><div><p><br>
Role &amp; Responsibilities</p></div><div><p>
1. Client Delivery &amp; Impact</p></div><div><ul><li><p>
Manage and execute analytics and data science solutions for global clients</p></li></ul></div><div><ul><li><p>
Develop and implement measurement frameworks, MMM, experimentation and optimisation approaches</p></li></ul></div><div><ul><li><p>
Translate complex analytical outputs into clear insights, recommendations and business actions</p></li></ul></div><div><ul><li><p>
Work with client teams to embed analytics into decision-making, planning and investment strategies</p></li></ul></div><p></p><div><p><br>
2. Product &amp; Solution Innovation</p></div><div><ul><li><p>
Design and develop reusable analytics products and solutions (e.g. growth models, planning tools, experimentation engines)</p></li></ul></div><div><ul><li><p>
Contribute to the development of dentsu&rsquo;s AI-enabled analytics suite (e.g. prediction engines, decisioning systems, agentic workflows)</p></li></ul></div><div><ul><li><p>
Translate repeatable client use cases into scalable modules, frameworks and toolkits</p></li></ul></div><div><ul><li><p>
Partner with data, technology and engineering teams to industrialise solutions, from prototype to production.</p></li></ul></div><div><ul><li><p>
Identify opportunities to embed automation, GenAI and agentic solutions into analytics workflows</p></li></ul></div></div><p></p><div><div><p><br>
3. Collaboration &amp; Integration</p></div><div><ul><li><p>
Work cross-functionally to support the integration of analytics into dentsu&rsquo;s growth products and planning solutions</p></li></ul></div><div><ul><li><p>
Collaborate with global and market teams to ensure solutions are adoptable, scalable and aligned to client needs</p></li></ul></div><div><ul><li><p>
Support new business pitches with analytics input.</p></li></ul></div><p></p><div><p><br>
4. Capability Building &amp; Thought Leadership</p></div><div><ul><li><p>
Contribute to the evolution of dentsu&rsquo;s analytics, AI and data science capability</p></li></ul></div><div><ul><li><p>
Develop and codify best practices, frameworks and playbooks</p></li></ul></div><div><ul><li><p>
Provide thought leadership on AI, modelling and measurement innovation internally and externally</p></li></ul></div><p></p><div><p><br>
Skills &amp; Experience</p></div><div><ul><li><p>
Previous experience in analytics, data, or research, ideally within a media or marketing environment.</p></li></ul></div><div><ul><li><p>
Experience applying AI and advanced analytics (predictive modelling, ML, and emerging GenAI approaches) to drive decision-making and automation</p></li></ul></div><div><ul><li><p>
Hands-on proficiency in data science tools and languages (eg.Python, SQL)</p></li></ul></div><div><ul><li><p>
Ability to translate analytical work into clear insights, recommendations and actions for non-technical stakeholders</p></li></ul></div><div><ul><li><p>
Strong commercial mindset, focused on impact, adoption and business outcomes, not just analysis</p></li></ul></div></div><p></p><p><b>
What we offer</b></p><ul><li><p>
This is a permanent role.</p></li><li><p>
This is a hybrid working role with the expectation that you will be in our London office 3 times a week.</p></li><li><p>
As well as a competitive salary, you&rsquo;ll enjoy a benefits package that you can tailor to your needs.</p></li></ul><p><b><br>
Inclusion and Diversity</b><br>
At Dentsu, we embrace diversity and inclusion, valuing the unique perspectives and contributions of every individual. We believe that diversity fuels creativity and innovation, benefiting our employees, partners, and communities.<br>
<br>
We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other protected characteristic. Beyond recruitment, we strive to create an environment where everyone feels respected, supported, and empowered to bring their authentic selves to work.<br>
<br>
We recognize the importance of work-life balance and are open to discussing flexible working arrangements for all roles. If you need reasonable adjustments due to a disability or medical condition during our recruitment process, please contact us at accommodations@dentsu.com, quoting the reference number of the role that you are applying for. Your needs will be handled with respect and confidentiality to ensure an inclusive and accessible experience.<br>
<br>
<b>About Dentsu</b><br>
Taking a people-centered approach to business transformation, we use insights to connect brand, content, commerce and experience, underpinned by modern creativity. As part of Dentsu Group Inc. we are headquartered in Tokyo, Japan and our 65,000 employee-base of dedicated professionals work across four regions (Japan, Americas, EMEA and APAC). Dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society.<br>
<br>
Diversity, equity, and inclusion sits at the heart of our Social Impact strategy &ndash; our fully integrated sustainability strategy which includes our ambition to build a fair and more equal society, where everyone is equipped to thrive.</p><p></p><p>
#LI-Hybrid</p><p></p><p><b>
Location:</b></p>
London<p></p><p><b>
Brand:</b></p>
Global Media<p></p><p><b>
Time Type:</b></p>
Full time<p></p><p><b>
Contract Type:</b></p>
Permanent</div>

Global Analytics Director

<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

Genpact

<div>Delivery Director - Data and Analytics<p></p><p><b>
Ready to turn bold ideas into real-world impact?</b><br>
 At Genpact, we don&rsquo;t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we&rsquo;re at the forefront of it. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.<br>
<br>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.<br>
<br>
Genpact (NYSE: G) is an agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world&rsquo;s leading enterprises.<br>
 Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.</p><p></p><p><b>
Job Description -
</b></p>Responsibilities Leads strategic delivery of data products and platforms. Defines delivery roadmaps and partner engagement models. Manages cross-functional execution and client onboarding. Drives innovation in delivery channels and performance. Aligns delivery strategy with business outcomes.<p></p><p><b>
Qualifications -
</b></p>Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science<p></p><p><b>
Certifications -
</b></p>CompTIA Network+ - ComptiaComptia<p></p><p><b>
Required Skills -
</b></p>Ab Initio, Ab Initio, Agile Methodology, Alteryx, Change Management, Client Relations, Collaboration Tools, Data Integration, Data Modeling, Demand Forecasting, Design Thinking, Executive Presence, High Volume Replication, Inclusion, Informatica PowerCenter, Matillion ETL, Microsoft Excel, Microsoft Power BI, Microsoft Visual Basic for Applications, Modernizing Operations, Oracle Data Integrator (ODI), People Leadership, Personal Effectiveness, Project Management, Python (Programming Language) {+ 7 more}<p></p><p><b>
Language</b></p>
English (Required)<p></p><p><b>
Language Proficiency -
</b></p>Advanced - C1<p></p><p><b>
Additional Job Location -
</b></p><p></p><p><b>Job Type</b></p>
Regular<p></p><p><b>
Master Skill List -
</b></p>Data and Analytics Delivery Management<p></p><p><b>
Remote Type -
</b></p>Hybrid<p></p><p><b>
Work Shift -
</b></p>Standard (United Kingdom)<p></p><div><b>
Why join Genpact?</b><br>
<ul><li><b>Lead AI-powered transformation</b> &ndash; Drive innovation and solve real-world business challenges that matter</li><li><b>Make an impact </b>&ndash; Help global enterprises solve business challenges that matter</li><li><b>Accelerate your career</b> &ndash; Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead</li><li><b>Work with the best</b> &ndash; Join 140,000+ bold thinkers and problem-solvers who push boundaries every day</li><li><b>Thrive in a values-driven culture</b> &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
<br>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.<br>
Let&rsquo;s build tomorrow together.<br>
<br>
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.<br>
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div>

Delivery Director - Data and Analytics 3

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

Intercom

<div><div><p>Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.</p>
<p>
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey &ndash; from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.</p>
<p>
Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</p></div><div><h1 class="jobSectionHeader"><b>
Product Data Science Leader, Fin</b></h1>
<h2 class="jobSectionHeader"><b>What makes this role different</b></h2>
<p>
This is not a classic experimentation-first product data science leadership role.</p>
<p>
Fin is a fast-moving, ambiguous, B2B AI-native product company. The role is less about owning a neat experimentation roadmap and more about helping shape direction in an environment where product bets are evolving quickly, the operating model is constantly changing, and decisions often need to be made before the data is complete.</p>
<p>
This person will not be successful if they wait to be asked for analysis. We need someone who creates momentum, brings clarity to messy problems, and helps leaders decide what matters, where to focus, and what should change.</p>
<p>
This is a highly consultative, influence-heavy leadership role. It sits at the intersection of product strategy, product analytics, customer outcomes, go-to-market signals, technical feasibility, and organizational design. Success depends on building trust and traction with product, engineering, design, research, sales, and executive stakeholders, often without relying on formal authority alone.</p>
<p>
The role is as much about shaping the system around product data science as it is about analytical depth. A major part of the job is creating the conditions for the function to be effective: improving how decisions get made, clarifying where data science should engage, helping define interfaces with adjacent functions, and ensuring insights actually influence outcomes.</p>
<h2 class="jobSectionHeader"><b>
Vision for Product Data Science at Fin</b></h2>
<p>
This role is not only about leading the current team well. It is also about helping define what product data science should become in an AI-native product organization.</p>
<p>
Fin is building zero-to-one products in an environment where the nature of the work is constantly shifting. As a result, the shape of product data science cannot be static or tied too closely to a traditional experimentation-and-dashboards model.</p>
<p>
We expect this leader to help define the future makeup of the function. That includes understanding where we need data scientists who are closer to engineers and builders, where we need people who operate more like researchers, and where deep statistical and analytical rigor should remain central.</p>
<p>
This person should bring a clear point of view on what an AI-native product data science function looks like, how AI should change the practice of analysis, and what capabilities, foundations, and operating model are required for the function to have the most impact over time.</p>
<p>
They should help define:</p>
<ul>
<li>the right capability mix for the team over time</li>
<li>where foundations work belongs and how it should be prioritized</li>
<li>how AI can increase leverage in analysis without lowering quality or rigor</li>
<li>how product data science should evolve as Fin evolves.</li>
</ul><h2 class="jobSectionHeader"><b>What this role is really about</b></h2>
<ul><li>Bringing clarity to ambiguous product bets with data and insights</li>
<li>Helping shape strategy in fast-moving B2B AI product areas</li>
<li>Pushing for better decisions, not just better analysis</li>
<li>Identifying product and performance gaps early;</li>
<li>Influencing where the organization should act</li>
<li>Creating traction for product data science where the model is still evolving</li>
<li>Designing how product data science should work, not just delivering within the current setup</li>
<li>Redirecting effort toward the highest-leverage problems</li>
Leading with judgment, influence, credibility, and conviction<br>
<li>
</li>
</ul><h2 class="jobSectionHeader"><b>What you&rsquo;ll do</b></h2>
<ul><li>Help product and company leaders make better decisions on where Fin should focus</li>
<li>Bring structure and judgment to ambiguous product, customer, and performance questions</li>
<li>Identify what is and is not working in the product, and where intervention is most needed</li>
<li>Shape early product direction, especially in zero-to-one and fast-evolving areas</li>
<li>Define where product data science should engage deeply versus where lighter support is sufficient</li>
<li>Define a vision for what product data science should look like in an AI-native product organization</li>
<li>Shape how AI is used in analysis, insight generation, and decision support, while maintaining a high bar for rigor and judgment</li>
<li>Improve visibility into product performance, opportunity size, and business impact</li>
<li>Partner across product, engineering, design, research, sales, and leadership to connect product signals with customer and commercial outcomes</li>
<li>Build trust with senior stakeholders and challenge weak logic or fuzzy thinking when needed</li>
<li>Help design the operating model for product data science in Fin, including interfaces with analytics engineering, research, and go-to-market teams</li>
<li>Ensure the function builds the right foundations for evaluating and improving zero-to-one AI products</li>
<li>Coach and raise the bar for product data science work through prioritization, judgment, and leadership presence</li>
<li>Ensure scarce data science capacity is focused on the most important problems, not just the loudest requests</li>
</ul><h2 class="jobSectionHeader"><b>What we&rsquo;re looking for</b></h2>
<ul><li>Strong product data science leadership experience in complex product environments</li>
<li>Track record of shaping strategy, not just supporting execution</li>
<li>Comfort operating in ambiguity and making high-quality judgment calls with imperfect data</li>
<li>Ability to influence senior stakeholders and challenge constructively when needed</li>
<li>Strong analytical depth and technical skills</li>
<li>A strong point of view on what product data science should look like in an AI-native company</li>
<li>Experience evolving team shape and capability mix in response to changing product and organizational needs</li>
<li>Ability to distinguish when the work calls for builder-type data scientists, research-oriented profiles, or deeper statistical specialization</li>
<li>Strong judgment on how AI should and should not be used in analytical and data science work</li>
<li>Excellent prioritization instincts and ability to identify high-leverage work</li>
<li>Experience working across product, engineering, design, research, and commercial stakeholders</li>
<li>Ability to translate across functions and connect product decisions to customer and business outcomes</li>
<li>Strong leadership presence: credibility, judgment, communication, and follow-through</li>
<li>Experience building or evolving operating models, team scope, or cross-functional ways of working</li>
Ideally, experience in AI-native, SaaS, or fast-moving B2B product contexts<br>
<li>
</li>
</ul><h2 class="jobSectionHeader"><b>What success looks like</b></h2>
<ul><li>Product and R&amp;D leaders actively rely on this person to shape priorities</li>
<li>Data science is involved early enough to influence direction, not just validate decisions late</li>
<li>Teams have a clearer view of product performance, opportunity size, and where intervention is needed</li>
<li>Product data science effort is focused on the highest-leverage opportunities</li>
<li>The interfaces between product data science and adjacent functions are clearer and more effective</li>
<li>The function becomes embedded in how critical Fin decisions get made</li>
<li>The overall quality of decision-making rises around the teams this person supports</li>
<li>The team evolves toward the right mix of capabilities for an AI-native product environment</li>
<li>AI is used to increase leverage in analysis and decision support without lowering rigor</li>
</ul><h2 class="jobSectionHeader"><b>Why this role matters now</b></h2>
<p>
Fin is operating in a space where product ships incredibly fast, decisions move quickly, ambiguity is high, and the organization needs stronger clarity on where product data science can have the most impact.</p>
<p>
We need a leader who can help shape the agenda, improve the system and operating model, and ensure product data science meaningfully changes outcomes.</p>
<h2 class="jobSectionHeader"><b>
Benefits</b></h2>
<p>
We are a well treated bunch, with awesome benefits! If there&rsquo;s something important to you that&rsquo;s not on this list, talk to us!</p>
<ul>
<li>Competitive salary and equity in a fast-growing start-up.</li>
<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.</li>
<li>Regular compensation reviews - we reward great work!</li>
<li>Pension scheme &amp; match up to 4%.</li>
<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.</li>
<li>Flexible paid time off policy.</li>
<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.</li>
<li>If you&rsquo;re cycling, we&rsquo;ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.</li>
<li>MacBooks are our standard, but we also offer Windows for certain roles when needed.</li>
</ul>
<p>#LI-Hybrid</p></div><div><p><b>
Policies</b></p>
<p>
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.</p>
<p>
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
</p><p>Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</p></div></div>

Director, Product Analytics

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

Deliveroo

<div><p>Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Analytics organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace.</p><p>
We're looking for a <b>Senior Analytics Engineering Manager</b> to join our London team. This is a hybrid role, with 3 days per week on-site. In this role, you'll help us scale our Analytics Engineering capability across multiple business domains, leading the teams that build the data products and metrics that power decisions across some of our most important business areas.</p><p></p><h1 class="jobSectionHeader"><b>
About the Analytics Engineering Org</b></h1><p>
Analytics Engineering is a core pillar of Deliveroo's Analytics organisation, alongside Data Science. With over 70 Analytics Engineers across the UK and India, we are embedded directly within product and business domains, owning the pipelines, models and metrics that power decision-making at scale: from self-serve AI-enabled analytics and experimentation through to executive reporting and strategic planning.</p><p>
The discipline is evolving fast. With new tooling changing how we work, we are shifting from building data pipelines to building AI first data products, developing rich semantic and data context layers and empowering self-serve data users. This role leads that work across several important business domains, managing multiple AE Managers and their teams. As well as running these teams, you will help shape AE standards, culture and direction across the wider org.</p><h1 class="jobSectionHeader"><b><br>
What You'll Be Doing</b></h1><ul><li><p>
Lead multiple analytics engineering teams across several business domains, managing the AE Managers who run them and owning performance, development and wellbeing across the org.</p></li><li><p>
Own the mid-to-long-term AE roadmap across your domains, identifying the highest-leverage investments and building the case for them with senior business and product stakeholders</p></li><li><p>
Contribute to AE-wide decisions on tooling, architecture, standards and process, helping shape how Analytics Engineering works at Deliveroo beyond your immediate teams</p></li><li><p>
Drive a data products mindset across your estate: clear ownership, SLAs, observability and data contracts built into how your teams work by default</p></li><li><p>
Coach and develop the AE Managers in your org, supporting them through performance, motivation, and team health challenges, while fostering a culture of technical rigour and continuous improvement across your teams</p></li><li><p>
Partner with Recruiting to hire strong, diverse AE talent across your domains</p></li></ul><h1 class="jobSectionHeader"><b><br>
What You'll Need to Thrive</b><br>
</h1><h2 class="jobSectionHeader"><b>
Essential</b></h2><ul><li><p>
Significant experience in an Analytics Engineering, BI Engineering, or Data Engineering leadership role, with hands-on SQL foundations you still draw on</p></li><li><p>
Proven experience managing managers as well as ICs, with a track record of developing the people managers in your org</p></li><li><p>
Demonstrated ability to own a multi-quarter technical roadmap and manage teams across multiple business domains in a matrixed environment, with measurable business impact</p></li><li><p>
Strong technical grounding across the modern AE stack (cloud data warehousing, transformation tooling, data modelling, and data quality practices), with the ability to engage credibly on architecture decisions and step in hands-on when needed</p></li><li><p>
Confident engaging and influencing at Director/VP level, with experience aligning analytics investment to business priorities</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Experience in a marketplace, e-commerce, grocery or retail analytics context</p></li><li><p>
Familiarity with federated data architecture patterns, semantic and metrics layer tooling, or Python for data automation and pipeline work</p></li><li><p>
Exposure to or research of AI for Data, including semantic layers and pipeline development processes</p></li><li><p>
Experience contributing to analytics organisational design: team structure, R&amp;R boundaries and cross-functional alignment between AE, Data Science, and Data Engineering</p></li></ul><p><b><br>
Why Join Us?</b></p><p>
At Deliveroo, you&rsquo;ll do work that matters, solving real-world problems in a three-sided marketplace that&rsquo;s constantly evolving.</p><p>
We&rsquo;re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:</p><p><b><br>
Solve meaningful problems at real scale</b><br>
Work on a complex, always-on marketplace that impacts millions every day.<br>
<br>
<b>See your impact, fast</b><br>
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership<br>
environment.<br>
<br>
<b>Grow through challenge and ownership</b><br>
Take on big, ambiguous problems and accelerate your career with strong support.</p><p><b><br>
A culture built for builders</b><br>
High standards, collaboration, flexible working and continuous learning.</p><p></p><p>
 <b>Share in the success you help create</b></p><p>
Competitive salary and equity options, so you&rsquo;re rewarded for the impact you make.</p><p><b><br>
Our Global Structure</b></p><p>
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we&rsquo;re unlocking new possibilities as one global team.</p><p><b><br>
Diversity, Equity and Inclusion</b></p><p>
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We&rsquo;re committed to fostering an environment where everyone can do their best work and feel they belong.</p><p>
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.</p><p>
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you&rsquo;ll have the opportunity to let us know once you&rsquo;ve submitted your application. We&rsquo;ll share details on how to request support so we can ensure you have a fair and equitable experience.</p><p>
If you&rsquo;re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we&rsquo;d love to hear from you!</p></div>

Senior Analytics Engineering Manager

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