analytics engineer

data science manager

senior analytics engineer

associate data scientist

principal data scientist

director product analytics

Hayfin Capital Management

<div><p>We are hiring a Full-Stack Engineer to help build the analytics workbench applications that supports analysis and decision-making across our business.</p><p>
Hayfin is a global alternative asset manager with deep expertise in credit and a broad alternatives platform, partnering with institutional investors worldwide. Reporting directly to the Director of Portfolio Analytics, you will take ownership of our growing in-house analytics workbench - working across the full stack, shaping how the business uses data, and coordinating with a small offshore vendor team to keep delivery on track. It's a hands-on role for someone with a strong track record shipping enterprise software, who wants to bring that experience to a small, fast-moving team that's actively rethinking how it builds, using AI as part of the day-to-day workflow.</p><p></p><p><b>
What you'll do</b></p><ul><li>
Build and maintain the analytics workflow app, using Angular on the front end and Python (FastAPI) on the back end, writing clean, well-tested code that's easy to support and extend.</li><li>
Build data pipelines and models using pandas and NumPy, working with Snowflake and Azure to store and serve data reliably and securely.</li><li>
Coordinate an offshore vendor team: setting priorities, assigning work, reviewing output, and tracking hours and spend.</li><li>
Use AI coding assistants as part of daily development work, and look for ways to improve how the team builds, tests, and ships software.</li><li>
Work directly with the Director of Portfolio Analytics and business stakeholders, turning requirements into working software and explaining technical choices in plain language.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
8+ years building and managing enterprise-grade software, including experience working across offshore/onshore vendor teams.</li><li>
8+ years with Python, including pandas and NumPy; 5+ years building APIs with FastAPI; 5+ years with Angular and UI libraries such as Material or Bootstrap.</li><li>
Experience hosting and managing applications on Azure, and building solutions on Snowflake.</li><li>
Hands-on, day-to-day experience using AI coding assistants as part of a development workflow.</li><li>
A clear communicator, comfortable working directly with non-technical stakeholders.</li><li>
Financial services experience (asset management, banking, or fintech) is a plus, as is experience in a small, fast-moving analytics or engineering team.</li></ul></div>

Senior Software Engineer

Barclays

<div><div><p>Date live: 25/08/2026</p>
 <p>Business Area: Private Bank Processing</p>
 <p>Area of Expertise: Product Development &amp; Management</p>
 <p>Contract: Permanent</p>
 <p>Reference Code: JR-0000123512</p></div></div>
<br><div><ul><li>Lead the development of next-generation marketing, personalisation and decisioning capabilities that deliver tailored, timely and relevant experiences across channels.</li>
<li>Shape the future of data-driven engagement by combining customer insights, AI, analytics and digital experiences to deepen client relationships and commercial outcomes.</li>
<li>Define and own the strategic vision, roadmap and outcomes for the tribe, ensuring investment is aligned to measurable business, colleague and client value.</li>
<li>Lead a multidisciplinary organisation spanning Product, Design, Engineering, Data and Delivery, creating an environment where empowered teams can deliver continuously and at pace.</li>
<li>Drive end-to-end transformation initiatives, translating complex business priorities into scalable products, journeys and capabilities that improve colleague and client experiences.</li>
<li>Build strong partnerships with senior business, technology and operations stakeholders to align priorities, manage dependencies and deliver sustainable outcomes across the wider PBWM ecosystem.</li>
<li>Champion modern product and agile ways of working, fostering a culture of experimentation, evidence-based decision making, continuous improvement and accountability for outcomes.</li>
</ul><p></p><p><b>Desired Skills/Experience</b></p>
<ul><li>Proven experience leading large-scale digital, marketing, customer engagement or personalisation transformations, with accountability for defining strategy, securing investment and delivering measurable business outcomes.</li>
<li>Strong understanding of customer data, analytics, AI and personalisation capabilities, with a track record of translating insight into relevant, timely and impactful client engagement across multiple channels.</li>
<li>Experience operating within complex, regulated environments and partnering across Product, Technology, Data, Operations and Front Office teams to deliver end-to-end client and commercial outcomes.</li>
<li>Experience within wealth management, private banking, institutional, B2B or relationship-led businesses is highly desirable. Candidates should understand how engagement, decisioning and personalisation differ in high-value, adviser-supported environments compared to purely digital, high-volume retail B2C models.</li>
<li>Standout candidates will have successfully defined and executed multi-year digital transformation strategies, built and led high-performing product organisations, and demonstrated the ability to identify emerging industry, data and AI trends and convert them into scalable competitive advantage.</li>
</ul><p></p><p><b>Purpose of the role</b></p>
<p>To drive innovation, meet customer needs, and ensure the bank's long-term success and competitive edge.</p>
<p></p><p><b>Accountabilities</b></p>
<ul><li>Execution of market research to understand customer needs, pain points, and emerging trends to support the analysis of profitability, market size and positioning for new products compared to existing offerings, and to identify opportunities for diversification to gain a competitive advantage.</li>
<li>Collaboration with stakeholders across departments and teams including marketing, sales, technology, engineers, designers etc to generate innovative and feasible product ideas and porotypes for testing aligned with customer needs and strategic goals.</li>
<li>Development of concepts and specifications which define features, functionalities, target market, user interface, technical specifications and potential revenue models of new products.</li>
<li>Evaluation of the technical feasibility, legal compliance, and potential risks associated with the development and launch of the new product.</li>
<li>Monitoring of market trends and analysis feedback from internal employees and target customers through prototypes, user testing sessions, and beta programs to identify areas for improvement to refine the product before launch.</li>
<li>Management of comprehensive launch plans and technical deployments for products that establish rollout timelines, marketing strategies, training initiatives and communication channels to promote the launch new products effectively.</li>
<li>Monitoring of key metrics such as adoption rates, usage patterns, customer satisfaction, and revenue generation to assess the product's performance against set goals.</li>
</ul><p></p><p><b>Director Expectations</b></p>
<ul><li>To manage a business function, providing significant input to function wide strategic initiatives. Contribute to and influence policy and procedures for the function and plan, manage and consult on multiple complex and critical strategic projects, which may be business wide..</li>
<li>They manage the direction of a large team or sub-function, leading other people managers and embedding a performance culture aligned to the values of the business. Or for an individual contributor, they lead organisation wide projects and act as deep technical expert and thought leader, identifying new ways of working and collaborating cross functionally. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..</li>
<li>Provide expert advice to senior functional management and committees to influence decisions made outside of own function, offering significant input to function wide strategic initiatives.</li>
<li>Manage, coordinate and enable resourcing, budgeting and policy creation for a significant sub-function.</li>
<li>Escalates breaches of policies / procedure appropriately.</li>
<li>Foster and guide compliance, ensure regulations are observed that relevant processes in place to facilitate adherence.</li>
<li>Focus on the external environment, regulators, or advocacy groups to both monitor and influence on behalf of Barclays, when appropriate.</li>
<li>Demonstrate extensive knowledge of how the function integrates with the business division / Group to achieve the overall business objectives.</li>
<li>Maintain broad and comprehensive knowledge of industry theories and practices within own discipline alongside up-to-date relevant sector / functional knowledge, and insight into external market developments / initiatives.</li>
<li>Use interpretative thinking and advanced analytical skills to solve problems and design solutions in often complex/ sensitive situations.</li>
<li>Exercise management authority to make significant decisions and certain strategic decisions or recommendations within own area.</li>
<li>Negotiate with and influence stakeholders at a senior level both internally and externally.</li>
<li>Act as principal contact point for key clients and counterparts in other functions/ businesses divisions.</li>
<li>Mandated as a spokesperson for the function and business division.</li>
</ul><p></p><p>All Senior Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others.</p>
<p></p><p>All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</p></div>

Martech/Hyperpersonalisation Tribe Lead

Boston Consulting Group

<div><p>Who We Are</p><p>
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br>
<br>
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.</p><p><br>
What You'll Do</p><p>
As a <b>Global Product Director &ndash; AI Innovation,</b> you will lead BCG&rsquo;s Global AI Innovation agenda through the
<br>
<b>CT Zero to One squad.</b> You will guide the team in rapidly turning high-potential AI ideas into working
<br>
prototypes, using focused sprints to test concepts, gather evidence, and determine what has the potential
<br>
to become an enterprise-ready product.</p><p><br>
</p><p>You will provide senior product leadership from early opportunity identification through prototype delivery
<br>
and validation. Working in an environment where requirements are often still emerging, you will create
<br>
clarity around the problem to solve, set priorities, and mobilize multidisciplinary teams to build and learn
<br>
quickly. You will ensure promising innovations move beyond experimentation with a clear path toward
<br>
enterprise readiness and scaled product ownership.</p><p></p><p><br>
Responsibilities include:</p><div><ul><li><br>
Set the global product direction for AI Innovation, translating emerging opportunities and BCG
</li></ul>priorities into a focused pipeline of product experiments.
<br>
<ul><li>Lead the <b>CT Zero to One team</b>, creating the conditions for multidisciplinary teams to move from
</li></ul>idea to working prototype within a small number of focused sprints.
<br>
<ul><li>Frame opportunities and define clear hypotheses, user needs, success measures, and decision
</li></ul>points before teams begin prototyping.
<br>
<ul><li>Guide rapid prototype development and experimentation, using evidence and user feedback to
</li></ul>determine what should advance, iterate, pivot, or stop.
<br>
<ul><li>Drive promising prototypes toward enterprise readiness, identifying the product, technology, risk,
</li></ul>and operational requirements needed for successful transition.
<br>
<ul><li>Partner across Consulting Practice Areas, AI and technology, product, engineering, and design to
</li></ul>bring the right expertise into each innovation effort.
<br>
<ul><li>Establish repeatable zero-to-one ways of working that increase the speed and quality of innovation
</li></ul>while creating a clear path from prototype to scalable product.</div><p><br>
</p><p><b>YOU&rsquo;RE GOOD AT</b></p><div><ul><li><br>
Setting a clear product vision and direction for <b>Global AI Innovation</b>, translating emerging
</li></ul>opportunities into focused priorities and investment decisions.
<br>
<ul><li>Leading the <b>CT Zero to One squad</b>, rapidly turning business needs and emerging AI capabilities into
</li></ul>hypotheses, prototypes, experiments, and validated product opportunities.
<br>
<ul><li>Moving from <b>idea to working prototype within a small number of focused sprints</b>, creating clear
</li></ul>outcomes, success measures, and decision points that accelerate learning.
<br>
<ul><li>Making disciplined decisions about what to <b>explore, build, advance, pivot, or stop</b>, balancing user
</li></ul>value, business impact, technical feasibility, responsible AI, and risk.
<br>
<ul><li>Driving promising prototypes <b>toward enterprise</b> readiness, identifying what is required to
</li></ul>transition validated innovations into scalable, sustainable product capabilities.
<br>
<ul><li>Influencing senior leadership and aligning global product, business, AI, technology, engineering,
</li></ul>architecture, and design partners around priorities and investment decisions.
<br>
<ul><li>Leading multidisciplinary teams through ambiguity, providing clear direction while empowering
</li></ul>teams to experiment, learn quickly, and deliver.
<br>
<ul><li>Managing a dynamic pipeline of AI innovation opportunities, balancing emerging demand,
</li></ul>experimentation capacity, potential impact, and readiness to advance.
<br>
<ul><li>Communicating complex AI, technology, and product topics clearly, building alignment and driving
</li></ul>decisions across technical and nontechnical audiences.
<br>
<ul><li>Strengthening <b>zero-to-one innovation practices</b>, creating repeatable ways of working that
</li></ul>accelerate prototyping, validation, learning, and transition to enterprise-scale ownership.</div><p><br>
What You'll Bring</p><ul><li><b>10&ndash;12+ years of relevant experience</b>, including significant product leadership across AI, data, or
</li></ul>enterprise technology products.
<br>
<ul><li>Demonstrated success taking emerging ideas from early discovery and experimentation through
</li></ul>validation and product investment decisions.
<br>
<ul><li>Strong understanding of AI and GenAI capabilities, data platforms, and the technical foundations
</li></ul>required to build scalable products.
<br>
<ul><li>Ability to frame highly ambiguous problems, make evidence-based trade-offs, and translate
</li></ul>emerging opportunities into clear product direction.
<br>
<ul><li>Proven success influencing senior leaders and aligning global, cross-functional teams around
</li></ul>complex product priorities and investment decisions.
<br>
<ul><li>Experience leading and developing multidisciplinary teams while creating clarity, accountability,
</li></ul>and space for rapid experimentation.
<br>
<ul><li>Strong customer orientation and business judgment, connecting user needs, technology
</li></ul>possibilities, and measurable business value.
<br>
These expectations retain the experience precedent of the source JDs while aligning the leadership
<br>
scope to MSD3 expectations for deep expertise, complex problem solving, broad business impact,
<br>
influence, collaboration, and people leadership.<p><br>
Who You'll Work With</p><ul><li><b>BCG Global Consulting Practice Areas (Functional &amp; Industry) and Data teams:</b> the Data Product
</li></ul>Portfolio, Data Governance CoE, Master Data Mgmt., Enterprise Data Modelling, and Data Product
<br>
development teams
<br>
<ul><li><b>BCG IT, Knowledge Team and PA Specific data teams:</b> business intelligence and analytics,
</li></ul>operations, and technical teams, among other business functions
<br>
<ul><li><b>BCG Leadership:</b> Heads of IT, Consulting / Practice Areas, Knowledge Function, and Enterprise
</li></ul>Services among other business functions.
<br>
<ul><li><b>The Data Governance network:</b> Data Owners, Stewards, and Data Governance Directors
</li><li><b>Data Layer Team</b> &ndash; Collaborating closely with data engineers, lead enterprise architects, data
</li></ul>stewards, data product analysts, and QA engineers to develop, maintain, and enhance BCG&rsquo;s data
<br>
products and infrastructure.<p><br>
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.</p></div>

Global Product Director

Sportradar

<div><b>Company Description</b><p><br>
We&rsquo;re the world&rsquo;s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.</p><b><br>
Job Description</b><p><br>
The <b>Senior Pricing Analyst</b> is the quantitative engine behind the pricing function &mdash; answering <b>&quot;how much&quot;</b> and <b>&quot;what if&quot;</b> by building the financial, revenue, and ROI models that operationalize pricing strategy. You will work across large, multi-product revenue and operational datasets, using modern AI and analytics tooling to turn data into pricing decisions at speed, while setting the standard for modeling rigor across the team.</p><p><b>
THE CHALLENGE
</b></p><ul><li>Build and maintain financial revenue and ROI models that translate pricing strategy into commercial decisions.</li><li>
Analyze large, multi-product revenue and operational datasets to surface pricing, margin, and profitability insights.</li><li>
Apply AI and advanced analytics tooling to accelerate modeling, scenario analysis, and data exploration.</li><li>
Create and maintain global price lists across products and content.</li><li>
Run scenario modeling and price elasticity analysis to support pricing decisions.</li><li>
Support content and product valuation, including ROI assessment for content acquisition and new products.</li><li>
Provide business-plan modeling support for new commercial initiatives.</li><li>
Partner with the Revenue Strategy team to ensure models reflect strategy and policy.</li><li>
Set modeling standards and mentor junior analysts, reviewing methodology and outputs for rigor.</li></ul><p><b>
ABOUT YOU</b></p><ul><li>
Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field.</li><li>
5+ years in financial modeling, pricing analytics, data analysis, or commercial finance.</li><li>
Demonstrated experience in financial revenue modeling and ROI modeling.</li><li>
Strong AI skills &mdash; practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation.</li><li>
Proven ability to analyze large revenue and operational datasets and translate them into actionable recommendations.</li><li>
Advanced Excel and financial modeling skills; proficiency in SQL and analytics/BI tools (Python or R a strong plus).</li><li>
Exposure to <i>sports</i> <i>betting</i>/gaming, <i>sports</i> data, or B2B data/SaaS environments welcome.</li></ul><p><b>
Key Success Metrics</b></p><ul><li>
Pricing model adoption</li><li>
Speed of pricing updates</li><li>
Accuracy of content valuation</li></ul><p><b>
OUR OFFER:</b></p><ul><li>
A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding.</li><li>
Flexibility to manage your workday and tasks with autonomy.</li><li>
A balance of structure and autonomy to tackle your daily tasks.</li><li>
Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.</li><li>
Global Employee Assistance Programme.</li><li>
Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).</li><li>
Online training videos.</li><li>
Flexible working hours.</li></ul><p><i>
While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation&mdash;both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.</i></p><p><b>
OUR RECRUITMENT PROCESS:</b></p><ul><li><p><b>
Initial Screening</b>: A quick chat with our Talent Acquisition Partner to understand your background and expectations.</p></li><li><p><b>
Two Hiring Team Interviews</b>: Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit.</p></li><li><p><b>
Final Steps</b>: Receive feedback and, if successful, an offer!</p></li></ul><b><br>
Additional Information</b><div></div><p><i><br>
At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) &ndash; we believe skills evolve over time. If you&rsquo;re willing to learn and grow with us, we invite you to join our team!</i></p></div>

Sr Pricing Analyst

<div><h1 class="jobSectionHeader"><b>About Ema</b></h1><p>
Ema is building the world&rsquo;s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.</p><p>
We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production &mdash; we ship real systems that run real business processes at scale.</p><h2 class="jobSectionHeader"><b>
The Role</b></h2><p>
Shape Ema's product direction. You'll research customers, prioritize features, work with engineering and design, and drive adoption of innovative AI capabilities.</p><p></p><h2 class="jobSectionHeader"><b>
What You'll Own</b></h2><p>
Define product strategy and roadmap</p><p>
Conduct customer research and discovery</p><p>
Write PRDs (Product Requirement Documents)</p><p>
Collaborate with engineering and design to ship features</p><p>
Analyze metrics and drive data-informed decisions</p><p>
Go-to-market strategy and launch planning</p><p></p><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><p></p><h2 class="jobSectionHeader"><b>
Required</b></h2><p>
6-10 years PM experience in SaaS or enterprise software</p><p>
Strong cross-functional leadership and communication</p><p>
Experience shipping multiple features end-to-end</p><p>
Data-driven decision making and analytics</p><p>
Customer research and user empathy</p><p>
BTech in CS/related field from top Institutes</p><p></p><h2 class="jobSectionHeader"><b>
Preferred</b></h2><p>
PM at high-growth SaaS companies (50-500 employees)</p><p>
Experience with platform or API products</p><p>
AI/ML product experience</p><p>
Enterprise sales support and GTM experience</p><p>
Analytics and A/B testing expertise</p><p>
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.</p><p>
Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.</p></div>

Product Manager, UK

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.<br>
</li>
<li>5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.<br>
</li>
<li>Experience with Python, SQL, and statistical modeling.</li>
<li>Experience working with generative AI agents.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.<br>
</li>
<li>Experience in software development and source control methodologies.</li>
<li>Experience working with cloud computing or distributed computing environments.</li>
<li>Demonstrated ability to build investigative tools and data pipelines for infrastructure integration.</li>
<li>Proven track record of influencing engineering priorities and roadmaps.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
The Reliability Analytics Team is on a mission to improve decisions and systems in Platform Reliability Engineering (PRE) through data and data science. We address a broad spectrum of reliability problems where data-driven approaches can be applied, combining subject matter expertise with statistical, predictive, and generative AI/ML methods to improve reliability in ways that truly matter to Google's users and customers.<p>
In this role, you will design statistical and machine learning tools, influencing engineering priorities and roadmaps in key areas like software rollouts and change management. You will have a direct impact on Google Cloud Platform reliability, gaining deep knowledge of relevant engineering infrastructure and data assets to solve complex issues.</p>
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design and build statistical, machine learning, and AI tools, alongside investigative data pipelines, for integration into existing or new reliability infrastructure.</li>
<li>Apply data science to improve Google Cloud Platform reliability in partnership with the Platform Reliability Engineering (PRE) organization, focusing on change supervision and rollouts.</li>
<li>Collaborate closely with engineering and product teams to build and improve reliability tools according to engineering priorities.</li>
<li>Gain deep knowledge of relevant engineering infrastructure and data assets to influence engineering roadmaps and priorities.</li>
<li>Contribute to team-wide learning forums and broader data science initiatives.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Data Scientist, Research, Reliability Analytics

Elsevier

<p></p><div><div><div><p><b>Are you passionate about shaping growth strategies that help R&amp;D professionals innovate and commercialize ideas?
</b></p></div><div><p><b>Do you enjoy turning market insights into strategic action while collaborating with product, commercial, and senior leadership teams?
</b></p></div><p></p><div><p><b>About our Team
</b></p></div><div><p>Elsevier is a global leader in information and analytics, helping academic and corporate researchers and healthcare professionals&rsquo; advance science and improve health outcomes. Our technology teams use cutting-edge technologies to build products and systems that advance science and health. We provide our customers with powerful digital solutions, helping them to research the biggest problems facing the world today.
</p></div><div><p>Our Corporate business unit supports world-leading, R&amp;D intensive corporations deliver innovative products to their customers. We provide solutions for the pharmaceutical and biotechnology industry, medical device developers, semiconductors and advanced manufacturing industries and more.
</p></div><p></p><div><p><b>About the Role
</b></p></div><div><p>We are seeking a motivated and experienced strategy professional to play a pivotal role in shaping and driving the growth strategy across our suite of solutions serving Corporate R&amp;D researchers . This is a unique opportunity to leverage your strategic consulting acumen and understanding of the R&amp;D landscape to define market opportunities, guide product development, and accelerate our growth.
</p></div><div><p>You will work closely with senior strategy and product leadership as well as our commercial teams to ensure each element of our product portfolio is aligned to our portfolio strategy. You will also be embedded with individual Product Teams to drive execution against our strategic priorities.
</p></div><p></p><div><p><b>Responsibilities
</b></p></div><div><ul><li><p>Lead the development of product-level strategies for agentic solutions and specialty databases.
</p></li></ul></div><div><ul><li><p>Provide guidance and support to the Product Leadership Team in shaping product roadmaps aligned with portfolio strategy and market needs.
</p></li></ul></div><div><ul><li><p>Continuously monitor and analyse the competitive landscape, identifying potential threats and opportunities, including partnerships and M&amp;A opportunities.
</p></li></ul></div><div><ul><li><p>Conduct in-depth market research and analysis to identify and evaluate new market needs that can drive growth.
</p></li></ul></div><div><ul><li><p>Lead and manage strategic initiatives, including growth opportunity assessments, M&amp;A screens, and strategic partnerships.
</p></li></ul></div><div><ul><li><p>Build strong relationships and communicate strategic recommendations and insights to senior product, commercial, and strategy leadership.
</p></li></ul></div><div><ul><li><p>Collaborate with cross-functional and multidisciplinary teams to drive execution of strategic priorities.
</p></li></ul></div><div><ul><li><p>Translate complex insights into clear, actionable recommendations that support business growth.
</p></li></ul></div><p></p><div><p><b>Requirements
</b></p></div><div><ul><li><p>Bachelor's degree in a relevant field (e.g., Business, Economics, Engineering, Chemistry, or other R&amp;D-focused disciplines). An advanced degree in a relevant business or scientific field (MBA, MSc, or PhD) is highly desirable.
</p></li></ul></div><div><ul><li><p>Strategy consulting experience (3+ years) with a top-tier consulting firm or a strong in-house strategy team.
</p></li></ul></div></div><div><div><ul><li><p>Professional experience and understanding of R&amp;D-intensive industries such as chemicals and materials R&amp;D, semiconductor and electronics engineering, energy transition technology, or automotive systems engineering.
</p></li></ul></div><div><ul><li><p>Proven ability to develop strategic frameworks and translate insights into compelling strategic narratives with actionable recommendations.
</p></li></ul></div><div><ul><li><p>Experience evaluating and developing strategies for software and/or data-driven products.
</p></li></ul></div><div><ul><li><p>Experience with advanced databases, AI/ML applications, or SaaS business models is advantageous .
</p></li></ul></div><div><ul><li><p>Experience driving execution across multidisciplinary teams in a collaborative environment.
</p></li></ul></div><div><ul><li><p>Excellent analytical, problem-solving, and critical thinking skills with the ability to synthesize complex information.
</p></li></ul></div><div><ul><li><p>Experience leveraging generative AI tools for strategy, research, or analytical tasks.
</p></li></ul></div><div><ul><li><p>Strong communication and presentation skills with the ability to convey strategic concepts to diverse audiences.
</p></li></ul></div><div><ul><li><p><b>Location: </b>London, UK or Amsterdam, Netherlands .<br>
</p></li></ul></div><p></p><div><p><b>Work in a Way That Works for You
</b></p></div><div><p>We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance , and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
</p></div><p></p><div><p><b>Working Pattern
</b></p></div><div><p>Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
</p></div><p></p><div><p><b>About the Business
</b></p></div><div><p>A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
</p></div></div>If performed in NLD Amsterdam (Radarweg), the base pay range is &euro;71,700 - &euro;119,600.This job may be subject to a collective labor agreement in the Netherlands. Please consult with the hiring team for further details.
<p><b>We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click </b><b>here </b><b>to access benefits specific to your location.
</b></p><p></p><p>We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
</p><p></p><p><b>Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams </b><b>here </b><b>.
</b></p><p></p><p>Please read our Candidate Privacy Policy .
</p><p></p><p>We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
</p><p></p><p><b><i>USA Job Seekers:
</i></b></p><p>EEO Know Your Rights .</p></div><p></p>

Strategy Analyst

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