associate director, analytics - global clients

senior analytics engineer

data science manager

ai product manager

strategy analyst

associate director, analytics - global clients Jobs in London

pricing analytics manager

Sportradar

<div>Company Description 
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. 
Job Description 
The Senior Pricing Analyst is the quantitative engine behind the pricing function &mdash; answering &quot;how much&quot; and &quot;what if&quot; 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.
THE CHALLENGE
<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>
ABOUT YOU<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 sports betting/gaming, sports data, or B2B data/SaaS environments welcome.</li></ul>
Key Success Metrics<ul><li>
Pricing model adoption</li><li>
Speed of pricing updates</li><li>
Accuracy of content valuation</li></ul>
OUR OFFER:<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>
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.
OUR RECRUITMENT PROCESS:<ul><li>
Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.</li><li>
Two Hiring Team Interviews: Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit.</li><li>
Final Steps: Receive feedback and, if successful, an offer!</li></ul> 
Additional Information<div></div> 
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!</div>

Sr Pricing Analyst

SCOR

<div>The job holder will be a key member of the SBS &amp; Cedant Facultative P&amp;C Pricing and Modelling team supporting business written by SCOR (including SCOR Syndicate), focusing on Casualty lines of business. 
The work includes pricing of key individual accounts, working with Underwriters, developing and maintaining pricing models, conducting pricing related analyses and any other ad-hoc reporting requirements. The job holder will also represent SBS Pricing &amp; Modelling Team in any ongoing and future global projects.</div>
 <div>Develop, test, and maintain pricing tools:
<ul><li>Develop, enhance and own direct &amp; facultative casualty pricing tools and methodology in conjunction with Underwriters, Underwriting Management, CTO and the Specialty Insurance Methods and Tools team.
</li><li>Ensure pricing models are appropriately calibrated and used appropriately by Underwriters, including rate change calculation.
</li><li>Maintenance of existing pricing tools including technical documentation / specifications / change parameter documentation (including impact analysis).
</li><li>Contribute to the team objective of improving pricing processes by implementing more innovative and data-driven approaches.
</li><li>Build/enhance pricing tools leveraging MS Excel and support transition to web-based submission-to-bind platforms in a Python-based ecosystem.
</li><li>Support efforts to build/refresh predictive models (e.g. Generalized Linear Models)
</li><li>Actively build and own relationship with Casualty Underwriters and assist in change management (including training) when onboarding Underwriters on to new pricing tools or platforms. 
</li></ul>Portfolio analysis, business planning, parameterisation and outwards RI pricing:
<ul><li>Contribute to the annual planning (profitability) review of portfolio (deep-dive) by considering combined ratios, rate levels, inflationary effects, and class of business mix for Specialty Insurance (including SCOR Syndicate), which may include production of the Actuarial Function Report required as part of the SCOR Syndicate SBF process.
</li><li>Contribute to the annual capital model parametrisation process (Underwriting / Premium Risk), which is concluded in conjunction with Group Risk Management, Capital Modelling Team, and Underwriters.
</li><li>Development and maintenance of dashboards and various management information 
</li></ul>Reporting:
<ul><li>Contribute to various regulatory tasks such as the Lloyd&rsquo;s Performance Management Data Return (PMDR)
</li><li>Regular monitoring and feedback of Underwriter Adjustments, plus pricing strength (adequacy) against the long-term profitability targets.
</li><li>Any other ad-hoc reporting requirements. 
</li></ul>Projects &amp; Consulting:
<ul><li>Provide actuarial consulting during exploration of new projects.
</li><li>Assist with on-going underwriting projects (developing pricing requirements, systems testing, etc.) or any other ad-hoc projects 
</li></ul>Pricing and review key individual accounts:
<ul><li>Analyse and pricing of individual accounts typically with complex features or high premium.
</li><li>Conduct pricing reviews on accounts with high and extreme materiality to ensure that all accounts priced adheres to appropriate pricing review process as defined in Specialty Insurance Pricing Guidelines.</li></ul></div>
 <div>Required experience &amp; competencies
<ul><li>A couple years of London Market Experience
</li><li>Knowledge of Microsoft Office (Proficiency in Excel). SQL, GIS and Programming skills ideally in R or Python is a plus
</li><li>Strong analytical skills. Pro-active, hands-on mentality and can-do attitude. Self-starter and solution oriented. Flexible, can adapt according to priorities. Expertise in digital technology and Data Engineering
</li><li>Clear communicator, able to structure an argument and ability to explain complex issues in a simple way. Team player, interested in sharing knowledge and helping to develop the team.
</li><li>Skills in data science, predictive modelling &amp; analytics, machine learning, AI
</li><li>Programming skills 
</li></ul>Required Education
<ul><li>Qualified actuary (FIA) or holder of an equivalent qualification from a recognised actuarial professional body.
</li><li>Excellent academic qualifications including a minimum of a bachelor&rsquo;s degree in mathematics, actuarial science, other scientific discipline (statistics, physics, natural science), economics or finance. An advanced degree (master&rsquo;s or PhD) would be a plus.</li></ul></div>
 <div>As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying &ldquo;The Art &amp; Science of Risk,&rdquo; SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
Working at SCOR means engaging with some of the best minds in the industry &ndash; actuaries, data scientists, underwriters, risk modelers, engineers, and many others &ndash; as we work together to find solutions to pressing challenges facing societies.
As an international company, our common culture is defined by &ldquo;The SCOR Way.&rdquo; Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.</div>

Pricing Actuary

Ebury

<div><div>Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed.

If you're a collaborator who wants to help transform how businesses operate globally, get in touch - we'd love to discuss how Ebury can accelerate your career so you can shape the future.</div>
Senior Commercial Product Manager

Ebury London - Office based

We're looking for a Senior Commercial Product Manager to fuel the growth of our Institutional Solutions business. This role is a unique opportunity to have an impact in helping expand Ebury's fastest growing client segment and provide products and solutions to solve their treasury needs. The role reports to the MD Institutional.

What you'll do:
<ul>
<li>You will help to discover the biggest treasury problems and opportunities for private market participants like investment funds, LPs, and financing vehicles and their service providers being fund administrators, law firms, and auditors.</li>
<li>You will solve these problems through technology, analytics, product and operations.</li>
<li>You will define a product vision, strategy, and roadmap, aligning cross-functional teams and stakeholders towards a common goal.</li>
<li>You will operate as part of a cross functional team including Engineering, Data, Sales, Risk, Operations and Dealing.</li>
<li>You will identify high impact opportunities in FX, Derivatives, Interest income and regional growth.</li>
<li>You will collaborate effectively with internal teams and clients &amp; prospective clients to define requirements, epics, and user stories, ensuring alignment and successful product outcomes.</li>
<li>You will maintain a strong understanding of the market and conduct competitor analysis for product offering, functionality, pricing to inform development of the product roadmap.</li>
<li>You will develop and maintain a deep understanding of treasury management and legal technology workflows.</li>
</ul>
What you'll need:
<ul><li>Domain Understanding</li></ul>
<ul>
<li>Experience with Treasury products such as FX derivatives, Interest rate derivatives, and cash management.</li>
<li>Knowledge of financial markets technology stacks, for example: treasury management, asset management, banks or scale up fintechs.</li>
<li>Familiar with Fintech Treasury Management Systems.</li>
<li>Experience with cash management products and solutions such as money market funds, deposit optimisation, and cash pooling.</li>
<li>Strong understanding of treasury management principles and experience with treasury management solutions.</li>
</ul>
<ul><li>Product Management Excellence</li></ul>
<ul>
<li>Multiple years of product building experience, either product or operations leader in a hands on role.</li>
<li>Strong individual contributor, willing to get your hands dirty and build product yourself.</li>
<li>Have built roadmaps for teams finding a path from uncertainty/chaos to clarity.</li>
<li>Has experience of getting to grips with established systems and processes. And identifying the optimal improvements and the pathway.</li>
<li>Has experience of building both in-house services and integrating with third party systems.</li>
<li>Experience in developing and executing product strategies that involve financial systems or regulations.</li>
</ul>
<ul><li>Leadership</li></ul>
<ul>
<li>Flexible in approach and comfortable taking a hands-on approach and &quot;rolling up your sleeves&quot; when necessary.</li>
<li>Enthusiastic about learning new skills to unblock yourself and your team.</li>
<li>Analytically-minded, can clearly frame problems, articulate hypotheses and solutions, measure them and has used the tools to be able to do this.</li>
<li>Capable of communicating well to a wide audience.</li>
<li>Proven ability to translate financial requirements into product specifications.</li>
</ul>
Why Ebury?
<ul>
<li>An impressive product suite including Supplier Payment Finance with more innovative and cutting edge products.</li>
<li>International development opportunities including attending global Dealing Boot Camps.</li>
<li>Career development and progression: Some of our most experienced dealers with exceptional FX knowledge move into leadership and coaching positions.</li>
<li>Dedicated Mentorship: Learn directly from experienced Dealing Managers who are invested in your success.</li>
<li>Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best.</li>
<li>Dynamic &amp; Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized.</li>
<li>Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits.</li>
<li>Central London Office: A fantastic location with excellent transport links.</li>
</ul>
Click the 'Apply' Today and discover your potential at Ebury!

You can also connect with me on LinkedIn - Gabriella Cheston

#LI-DNP 
#LI-ONSITE<div> 
About us

Ebury delivers sophisticated, integrated solutions &mdash; business accounts, hedging, and financing &mdash; on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally.

Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 2000+ Eburians across nearly 70 cities and we're always looking to add to our team.

At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage.

The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars.

We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story. 


Important Security Notice for Job Applicants: 
Ebury only accepts applications via official Ebury channels. We will only contact you from an @ebury.com domain. Always check the emails you receive from us, and note that we will never request payment for any part of the recruitment process. Stay safe and report suspicious activity. 
 
Notice to Recruitment Agencies and Search Firms: 
Ebury does not accept unsolicited resumes, CVs, or candidate profiles from recruitment agencies or search firms without signed written Ebury recruitment terms in place for a specific role. Any unsolicited applications will be considered the sole property of Ebury. Ebury will not be responsible or liable for any placement fees or costs associated with unagreed candidate submissions or subsequent hires. 
 
AI Transparency Statement: 
Ebury uses Artificial Intelligence (AI) and automated tools to help streamline certain parts of our recruitment process, however, these tools are strictly for administrative efficiency. All hiring decisions, including application reviews, shortlisting, and final selections are evaluated and conducted by human talent acquisition professionals and hiring managers.</div></div>

Senior Commercial Product Manager

Databricks

<div>The Role
As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present&mdash;combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.
The Impact You Will Have
<ul><li>Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning</li>
<li>Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins</li>
<li>Own frontline technical relationships with customer engineers, data teams, and technical leads</li>
<li>Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption</li>
<li>Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations</li>
<li>Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community</li>
</ul>What We Look For
<ul><li>4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role</li>
<li>Proficient in Python and PySpark/Spark with demonstrated ability to debug, optimize, and write production-quality code &mdash; live coding is a required interview stage</li>
<li>Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)</li>
<li>Working knowledge of distributed data systems: Apache Spark&trade;, Delta Lake, or equivalent (Hadoop, Kafka, Flink)</li>
<li>Experience leading technical customer conversations &mdash; discovery, whiteboarding, architecture reviews</li>
<li>Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics</li>
<li>Strong presentation and demo skills &mdash; you will build and present a live solution during the interview</li>
<li>Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)</li> 
</ul> 
Nice to Have:
<ul><li>Databricks certification or experience with the Databricks Platform</li>
<li>Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow</li>
<li>Background at a data/AI company, cloud provider, or technical consulting firm</li>
</ul>Interview Process: Recruiter Screen Hiring Manager Screen Design and Architecture Interview Live Coding Assessment Build, Demo, Pitch! Presentation Reference Check 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
<div>About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide &mdash; including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 &mdash; rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Sr. Solutions Engineer

DataArt

<ul><li>Position overview: DataArt is seeking a highly motivated and experienced Senior Data &amp; Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies.</li><li>
As a key member of the DataArt Data &amp; Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data &amp; Analytics Lab through business development and go-to-market activities.</li></ul>
 <ul><li>Responsibilities: Forge strong, trusted advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges</li><li>
Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives</li><li>
Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond</li><li>
Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys</li><li>
Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure</li><li>
Support team development by mentoring colleagues and providing expertise across strategic client accounts</li><li>
Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals</li><li>
Contribute to the Healthcare and Life Sciences practice and Data &amp; Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives</li></ul>
 <ul><li>Requirements: Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma &amp; Biotech, Medical Devices, and others</li><li>
Extensive experience working within custom IT services, custom IT solutions, and/or IT implementation environments, with a strong understanding of the custom software development services landscape</li><li>
Experience driving change management initiatives in enterprise environments</li><li>
Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms</li><li>
Experience implementing data strategies that enable in-house AI platform development</li><li>
Experience in the Healthcare and/or Life Sciences industries in the US and Europe</li><li>
Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act</li><li>
Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe)</li><li>
Strong understanding of data and technology consulting principles and practices</li><li>
Expertise in leading large data-driven programs and driving revenue growth within client account portfolios</li><li>
Skilled in contributing to business development and sales engineering teams or organizations</li><li>
Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders</li><li>
Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption</li><li>
Solid understanding of business operations, products, and services</li></ul>

Principal Data & Analytics Strategy and Technology Consultant, Healthcare & Life Sciences

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 
</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. 
</li>
<li>Experience with Python, SQL, and statistical modeling.</li>
<li>Experience working with generative AI agents.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</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. 
</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">About the job</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.
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.
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">
Responsibilities</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

Siena AI

<div><h2 class="jobSectionHeader">Meet Siena</h2>
Siena is the The Agent of Record for CX, built for consumer brands like Spanx, FIGS, Brooklinen, and Gr&uuml;ns.
 
 
It runs as a connected multi-agent stack on top of a shared intelligence layer: agents that sell, support, listen, handle social and voice across the entire customer journey, turning every conversation into signal you can act on.<h2 class="jobSectionHeader">
The team</h2>
We are a small, fully distributed, global team. We have built leverage into how we work, which is what lets a team this size move at the speed we do.
We hire athletes. Everyone here owns real outcomes, defaults to writing over meetings, communicates with directness, and acts the moment they see something worth acting on. Low ego, high standards, fast clock.
If you want to own real problems rather than close tickets, keep reading.
This role is not for most people. That's the point.
Siena is building the intelligence layer for CX, and we're doing it at a speed most reps have never operated at. We are not looking for someone to &quot;manage a territory.&quot; We are looking for a closer: someone who treats every deal like it's the only one that matters, who doesn't wait to be told what to do, and who would rather lose a deal swinging than win it by accident.
If you need a playbook for every situation, a manager checking in on you weekly, or a market that isn't changing under your feet, stop reading now. This isn't that job.
If you're the person who finds a way to win when everyone else finds a reason they couldn't, keep reading.
What this job actually is 
We're scaling the Enterprise motion and paying for it properly. This is a hunter seat for someone who can walk into a room with a CFO, a CX leader, or a hostile buying committee and command it: no hand-holding, no script, no safety net.
You will run six-figure, multi-stakeholder deals with real RFPs and real competitive fire, and you will be expected to operate like you already own the outcome.
We are deliberately not hiring junior reps into this seat. We don't have the bandwidth to coach someone up over eighteen months, and the deals on the table won't wait for anyone's learning curve. We are paying top of market for someone who is already exceptional and wants to prove it again, at a company still small enough that one person's work is visible to everyone.
What you'll own<ul><li>
The full enterprise sales cycle, start to close: multi-stakeholder, multi-SKU, cycles that can run six months and don't move themselves</li><li>
Formal RFP processes, including the internal resources (solutions engineering, leadership) you'll need to shepherd through them without burning goodwill</li><li>
Total autonomy in the room: you adapt to whoever's in front of you, CFO or CX manager, without checking in at every step, because you already know what to say</li><li>
The business case, built and defended with real numbers, for brands doing $100M+ in annual GMV</li><li>
The instinct to spot and act on expansion inside your own deals, not because it's mandated, but because leaving money on the table isn't in your nature</li><li>
A real point of view on the competitive landscape, because the market is only getting harder and you should already know how you win in it</li></ul>
What it takes to be in the room<ul><li>
A track record, named brands, named numbers, of closing $100M+ GMV accounts. Not &quot;exposure to.&quot; Closed.</li><li>
Quota attainment in the last 1-2 years that you can explain, not just report. &quot;I exceeded quota&quot; tells us nothing. We want to know why you win when other people on your old team didn't.</li><li>
The kind of executive presence that doesn't need a warm-up. You get on a call cold with a CFO and you already know what to say.</li><li>
RFP experience and the judgment to run one without wasting everyone else's time.</li><li>
Hunger that shows up as a pattern, not a mood. You find a way to win. Every time. That's not a personality trait we're hoping for: it's the bar.</li><li>
Bonus: a background selling usage-based pricing. If you've sold that way, you already think in terms of land-and-expand and long-term account ownership, not one-and-done transactions.</li><li>
Prior AI/CX exposure is a plus, not a requirement, if everything else here is undeniable.</li></ul>
Why this is worth it 
This is not a role where you're competing with twelve other AEs for scraps of enterprise pipeline. You'll be one of a small number of people operating at this level, which means your work is visible, your wins compound fast, and you'll help define what &quot;Enterprise AE at Siena&quot; means as the team scales.
This is intense. It is also one of the more rewarding seats you'll find: real ownership, real money, and a company moving fast enough that you'll never wonder if your work matters.
If that sounds like the environment you've been looking for, we want to talk to you.
If it sounds exhausting, this isn't a knock on you, it just isn't this role.<h2 class="jobSectionHeader">
Why Siena?</h2><ul><li>
Real ownership. You will own problems, not tasks, with the autonomy to solve them your way and the trust to do it without a manager in your inbox.</li><li>
Work that ships and matters. What you build reaches real consumer brands fast.</li><li>
A category we are creating. The Agent of Record is new ground, with unsolved problems and cutting-edge models, not a crowded field to compete in.</li><li>
A team that respects your judgment. Globally distributed, async-first, low bureaucracy. We hire adults and treat you like one.</li><li>
Great salary plus equity or stock grants. Own a piece of what you build.</li><li>
Learning budget. If you are growing, so are we.</li><li>
AI-fluency by default. Few places will push your work with production AI further or faster.</li></ul><h2 class="jobSectionHeader">
Our values</h2>
The people who thrive here are curious, customer-obsessed, and take ownership without being asked. They fix problems first and explain later. They're direct about feedback&mdash;both giving and receiving it&mdash;because they care more about getting things right than being polite.
They maintain high standards while moving at startup speed, and they build real relationships with teammates because they know that's how great work gets done. When things get tough, they adapt and keep pushing forward.<h2 class="jobSectionHeader"> 
Our approach to AI</h2>
The people who thrive here treat AI like a natural extension of themselves. They've built their own ecosystem of agents - some for research, others for debugging, writing, analysis, or writing code. They know which AI works best for what problem.
Everyone gets premium accounts (ChatGPT, Claude, Perplexity Pro, Cursor, Lovable) plus a quarterly budget for new tools. But the magic happens in how we share knowledge. Demo days where someone shows off a clever workflows. Slack threads about which model handles a specific use case better. Learning from each other's AI workflows.
At Siena, we&rsquo;re not just looking for people who can do a job. We&rsquo;re looking for people who want to break boundaries, create the future, and reshape industries. If that&rsquo;s you, we look forward to your application.
We use AI-assisted screening tools as part of our hiring process. All decisions are made by humans. You can request a human-only review at talent@siena.cx.
Siena provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.</div>

Enterprise Account Executive

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