data scientist

analytics engineer

senior analytics engineer

ai solution engineer

ai specialist

analytics specialist

Ripple

<div><div>At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.</div><div>

THE WORK:

We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company.

In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier - solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams.

WHAT YOU'LL DO:
<ul>
<li> Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Treasury, Markets, Custody, and XRPL.</li>
<li>Partner with product and business leads to define analytics strategy: shaping which initiatives to invest in, what success looks like, and how we'll know.</li>
<li>Build the scientific frameworks Ripple reuses at scale: product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces.</li>
<li>Pioneer AI-accelerated analytics: applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners.</li>
<li>Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume.</li>
<li>Define and communicate the metrics leadership runs on: translating complex results into clear narratives for Ripple executives and external stakeholders.</li>
<li>Raise the bar for the DS function through thought leadership and mentorship across embedded teams.</li>
</ul>
</div><div>WHAT YOU'LL BRING:
</div>
<div><ul><li>8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams.</li>
<li>Demonstrated technical leadership across cross-functional teams, influencing roadmaps and strategy at both executive and execution levels.</li>
<li>Proven experience designing reusable analytics and measurement frameworks that scale across products.</li>
<li>Hands-on experience applying AI to accelerate analytics workflows (agentic analysis, AI-assisted insight generation, natural-language data interfaces).</li>
<li>Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment.</li>
<li>Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks, Airflow, dBT a plus).</li>
<li>Experience with FinTech, payments, crypto, or blockchain data is a strong plus.</li>
<li>Advanced degree (MS, PhD) in a quantitative field preferred.</li>
<li>Exceptional communication skills &mdash; able to turn technical depth into executive-ready narratives.</li>
</ul>
</div><div>WHO WE ARE:

Do Your Best Work
<ul>
<li>The opportunity to build in a fast-paced start-up environment with experienced industry leaders</li>
<li>A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.</li>
<li>Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.</li>
<li>In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.</li>
<li>Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team</li>
<li>We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!</li>
</ul>
Take Control of Your Finances
<ul>
<li>Competitive salary, bonuses, and equity</li>
<li>Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support</li>
<li>Employee giving match</li>
<li>Mobile phone stipend</li>
</ul>
Take Care of Yourself
<ul>
<li>R&amp;R days so you can rest and recharge</li>
<li>Generous wellness reimbursement and weekly onsite &amp; virtual programming</li>
<li>Generous vacation policy - work with your manager to take time off when you need it</li>
<li>Industry-leading parental leave policies. Family planning benefits.</li>
<li>Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events</li>
</ul>
Benefits listed above are for full-time employees.

<div>Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.</div>
<div></div>
<div>Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.</div></div></div>

Staff Data Scientist

Expedia Group

<div>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.
Expedia B2B is the B2B arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more.
Our Analytics team is at the heart of supply optimisation strategy, turning complex data into meaningful decisions that improve outcomes for our global B2B partners. As a Data Scientist III,Analytics, you will operate largely independently, applying and enhancing analytical best practices to solve sophisticated business problems. You will manage analytical workstreams, mentor junior colleagues, and engage regularly with stakeholders up to VP level.
In this role, you will:
<ul><li>Apply advanced statistical and machine learning techniques to supply optimisation challenges, delivering data-driven insights and recommendations that create measurable business impact.
</li><li>Extract, structure, and transform data from multiple sources independently to build datasets suited for modelling and in-depth analysis.
</li><li>Design and execute measurement frameworks &mdash; including A/B testing, causal impact analysis, and multivariate methods &mdash; selecting the appropriate technique based on the business question and clearly communicating trade-offs.
</li><li>Build, evaluate, and iterate on statistical models (e.g. regression, clustering, classification), correctly interpreting outputs and translating findings into actionable recommendations.
</li><li>Develop clear, audience-appropriate data visualisations and narratives that communicate insights to both technical and non-technical stakeholders.
</li><li>Lead small analytical workstreams end-to-end, partnering with stakeholders to refine requirements, agree on scope, and evolve the approach based on findings.
</li><li>Automate repeated measurement and reporting tasks and build scalable dashboards, enabling self-serve analytics for stakeholders across the business.
</li><li>Produce high-quality project artefacts &mdash; including technical documentation, presentations, and executive summaries &mdash; tailored to the appropriate forum and audience.
</li><li>Collaborate openly with analytics peers, domain experts, and business stakeholders to validate approaches, share knowledge, and socialise findings.
</li><li>Provide coaching and constructive feedback to junior team members on statistical techniques, visualisation best practices, and data quality standards.
</li><li>Champion reproducibility by writing shareable, well-documented code and contributing to shared repositories such as GitHub or Confluence.
</li></ul>Experience and Qualifications:
<ul><li>PhD, Master's, or Bachelor's degree in Mathematics, Statistics, Computer Science, or a related technical field; or equivalent related professional experience
</li><li>4&ndash;6 years of experience in a data science or analytics role (with a relevant degree), or 7+ years of comparable professional experience in a data analytics role
</li><li>Demonstrable experience delivering data-driven insights that drove meaningful change or performance improvement across multiple projects using varied analytical techniques
</li><li>Advanced proficiency in SQL, Python, or R for data extraction, transformation, and visualisation at scale
</li><li>Proficient understanding of statistical concepts including regression, ANOVA, probability, and frequentist vs. Bayesian approaches, with the ability to distinguish statistically significant results from exploratory analysis
</li><li>Experience applying a range of modelling techniques (e.g. linear and logistic regression, clustering) and iterating on models to improve accuracy and business relevance
</li><li>Proficient communication skills, with demonstrated ability to present clear data stories and insights to audiences of varying technical levels
</li></ul>Preferred:
<ul><li>Experience in supply optimisation, pricing, marketplace analytics, or a related domain
</li><li>Familiarity with big data querying tools such as Presto, Hive, BigQuery, or Hadoop
</li><li>Exposure to Bayesian methods, causal inference, or multi-armed bandit approaches
</li><li>Experience collaborating with Machine Learning Data Science teams to validate and scale models for business impact
</li><li>Familiarity with inclusive data visualisation design principles, including accessible colour selection and charting best practices
</li></ul>Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request .
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs .
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Data Scientist III, Analytics (B2B Supply Optimisation)

<div><div><div>Job ID: R0055886</div>
</div><div><div><div><div><div>Location</div>
<div>London, Middlesex</div>
</div></div></div><div></div><div><div><div><div>Hours/week</div>
<div>37.5 hrs/week</div>
</div></div></div><div></div><div><div><div><div>Payrate range</div>
<div>Unknown</div>
</div></div></div></div><div><div>We don&rsquo;t just believe in better. We make it happen.
Better content. Better products. And better careers. 
Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 
Role/Team overview
Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, we are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extract value from our data assets and maximise customer value. 
What you&rsquo;ll do:
<ul><li>Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms: work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience
</li></ul><ul><li>Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems.
</li></ul><ul><li>Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions
</li></ul><ul><li>Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky
</li></ul><ul><li>Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches.
</li></ul><ul><li>Responsible for identifying the best analytical techniques, developing the solution, creating a framework for testing the solution and measuring the incremental value to the business from the solution 
</li></ul>What you&rsquo;ll bring:
<ul><li>Strong track record delivering end‑to‑end data science solutions (preferably B2C) in cloud environment
</li></ul><ul><li>Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation
</li></ul><ul><li>Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholders are essential
</li></ul><ul><li>Commercial knowledge and applications of data science to drive commercial value is a must &ndash; everything we do drives value into the business
</li></ul><ul><li>Hands‑on experience with Generative AI and LLMs, including prompt engineering, fine‑tuning, evaluation, and production deployment
</li></ul><ul><li>Strong command of modern data stacks, including Python, SQL, Spark, BigQuery, and Snowflake
</li></ul><ul><li>Clear communication skills, able to explain complex AI concepts, including LLMs and agentic systems, to both technical and non‑technical audiences 
</li></ul>Benefits and perks 
There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here&rsquo;s a taster:
<ul><li>Sky Q, for the TV you love all in one place
</li></ul><ul><li>The magic of Sky Glass at an exclusive rate
</li></ul><ul><li>A generous pension package
</li></ul><ul><li>Private healthcare
</li></ul><ul><li>Discounted mobile and broadband
</li></ul><ul><li>A wide range of Sky VIP rewards and experiences 
</li></ul>How you&rsquo;ll work
We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. 
Your office space: 
Osterley:
Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There&rsquo;s also plenty of bike shelters and showers.
On campus, you&rsquo;ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. 
We'd love to hear from you
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It&rsquo;s a place where you can explore what if, how far, and what next. 
But better doesn&rsquo;t stop at what we do, it&rsquo;s how we do it, too. We embrace each other&rsquo;s differences. We support our community and contribute to a sustainable future for our business and the planet.
If you believe in better, we&rsquo;ll back you all the way. 
Just so you know: if your application is successful, we&rsquo;ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. 
Who we are
We&rsquo;re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you&rsquo;ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. 
We&rsquo;re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. 
Just so you know: if your application is successful, we&rsquo;ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. 
To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. 
To find out more about working with us, search #LifeAtSky on social media.</div></div></div>

Principal Data Scientist

Sagacity

<div>
 
 As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data &amp; Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing.
 
 
 
 
 
 You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes.
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Deliver data science projects, from problem definition through to actionable insights and presentation of results
 </li>
 <li>
 Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes
 </li>
 <li>
 Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats
 </li>
 <li>
 Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders
 </li>
 <li>
 Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making
 </li>
 <li>
 Support pre-sales and client engagement, helping to demonstrate the value of data insight
 </li>
 <li>
 Follow best practices in data science, reproducible research, and ethical AI
 </li>
 <li>
 Collaborate cross-functionally to enhance the company&rsquo;s products and marketing data solutions
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 2+ years&rsquo; experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy
 </li>
 <li>
 Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 
 
 
 <ul>
 <li>
 Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP)
 </li>
 <li>
 Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering
 </li>
 <li>
 Strong command of SQL and familiarity with data engineering environments such as Databricks or similar
 </li>
 <li>
 Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma
 </li>
 <li>
 Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences
 </li>
 <li>
 Commercially aware, with proven success in applying analytics to solve business problems
 </li>
 <li>
 Strong communicator; able to engage stakeholders and present findings with clarity and confidence
 </li>
 <li>
 Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment
 </li>
 <li>
 Willing to travel across the UK for client engagements
 </li>
 <li>
 Must have the right to work in the UK and a commitment to ongoing professional development
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 <ul>
 <li>
 Regular iteration on our machine learning methodologies, tools, and frameworks
 </li>
 <li>
 Consistent demonstration of technical excellence and commercial insight in all project deliverables
 </li>
 <li>
 Measurable contribution to the enhancement of Sagacity&rsquo;s data science and analytics product suite
 </li>
 </ul>
</div>

Data Scientist

Barclays

<div><div>Date live: 29/06/2026
 Business Area: HR
 Area of Expertise: Technology
 Contract: Temp/Contractor Payroll (Fixed Term)
 Reference Code: JR-0000103201</div></div>
 <div>In this role you will take ownership of the Microsoft Viva Insights data environment, ensuring the delivery of accurate, consistent, and high-quality organisational data within a complex enterprise setting. You will manage data cleansing processes, oversee data ingestion through systems such as Microsoft Admin Centre (MAC) and MODIS, and continuously monitor and improve data quality standards. You will maintain field attributes, ensuring clear definitions and metadata governance, while performing core Viva Insights administration activities, including data uploads, validation, organisational hierarchy configuration, and access management. You will ensure that all data is well-structured, trusted, and aligned to governance standards, enabling reliable collaboration insights and reporting for senior leadership and HR analytics teams.
You will design, manage, and optimise end-to-end data pipelines that integrate Viva Insights with employee survey platforms, HR systems, and other enterprise data sources, supporting advanced analytics and strategic programmes. You will collaborate closely with cross-functional teams, including Organisational Effectiveness, Culture &amp; Behaviour, and Data Science, translating business requirements into robust data solutions. You will implement and maintain governance frameworks, ensuring access controls, data security, and compliance with audit requirements. By enabling seamless access to high-quality data, you will support stakeholders in generating meaningful insights that drive organisational effectiveness and informed decision-making.
To be successful as a Viva Insights Administrator and Data Engineer, you should have experience with:
<ul><li>Proven experience in Viva Insights administration</li>
<li>Understanding of the Microsoft 365 Admin Centre</li>
<li>Experience managing large, complex data environments</li>
<li>Data management, cleansing, and governance expertise</li>
<li>Experience with data pipelines and integration across systems</li>
<li>Ability to work with multiple stakeholders across technical and business teams</li>
</ul>Technical Skills
<ul><li>Microsoft Viva Insights platform administration</li>
<li>Microsoft 365 ecosystem (Admin Centre, data flows)</li>
<li>Python, SQL (Hive/Hue) for data manipulation and analysis</li>
<li>Experience with Copilot data management concepts and controls</li>
<li>Data modelling and transformation techniques</li>
</ul>Other desirable skills include:
<ul><li>Experience in HR, People Analytics, or organisational data environments</li>
<li>Familiarity with survey data integration</li>
<li>Experience working in global, matrixed organisations</li>
</ul>You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
Your role will be located from our Northampton or London office.
Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
<ul><li>Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.</li>
<li>Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.</li>
<li>Development of processing and analysis algorithms fit for the intended data complexity and volumes.</li>
<li>Collaboration with data scientist to build and deploy machine learning models.</li>
</ul>Vice President Expectations
<ul><li>To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..</li>
<li>If managing a team, they define jobs and responsibilities, planning for the department&rsquo;s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..</li>
<li>If the position has leadership responsibilities, People 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..</li>
<li>OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..</li>
<li>Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.</li>
<li>Manage and mitigate risks through assessment, in support of the control and governance agenda.</li>
<li>Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.</li>
<li>Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.</li>
<li>Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.</li>
<li>Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.</li>
<li>Adopt and include the outcomes of extensive research in problem solving processes.</li>
<li>Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.</li>
</ul>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.</div>

Viva Insights Administrator and Data Engineer - 12 Months Fixed Term Contract

Elsevier

<div>About the team:
Elsevier&rsquo;s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. As the landscape of science and healthcare evolves, we are pioneering intelligent discovery experiences &mdash; from Scopus AI and LeapSpace to ClinicalKey AI, PharmaPendium, and next-generation life sciences platforms. These products leverage retrieval-augmented generation (RAG), semantic search, and generative AI to make knowledge more discoverable, connected, and actionable across disciplines.
The Search &amp; AI Evaluation team sits within the Platform Data Science organization and is responsible for advancing enterprise-scale search, retrieval, and evaluation capabilities across Elsevier's global products.
<h2 class="jobSectionHeader">About the role
</h2>We are looking for a Senior Data Analyst to lead analytics and evaluation efforts for search and retrieval systems. You will own key analytical workflows, define measurement strategies, and generate insights that directly improve ranking quality, relevance, and user experience.
This role is ideal for someone with deep experience in search analytics, experimentation, and data visualization, who can operate with high autonomy and influence decision-making across cross-functional teams.
<h2 class="jobSectionHeader">Key responsibilities
</h2><h3 class="jobSectionHeader">Search Evaluation &amp; Analytics
</h3><ul><li>Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance.
</li><li>Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR).
</li><li>Analyze query behavior, user interaction signals, and content performance to identify optimization opportunities.
</li><li>Conduct deep-dive analyses on ranking performance, query intent, and retrieval gaps.
</li><li>Support evaluation of downstream applications (including GenAI-powered features) where they depend on retrieval quality.
</li></ul><h3 class="jobSectionHeader">Experimentation &amp; Reporting
</h3><ul><li>Help design and lead A/B testing and experimentation frameworks for search and ranking improvements.
</li><li>Partner with product and data science to define success metrics and experiment strategies.
</li><li>Ensure statistical rigor in experiment design, analysis, and interpretation.
</li><li>Build reusable experimentation templates and scalable analysis workflows.
</li></ul><h3 class="jobSectionHeader">Data Visualization &amp; Communication
</h3><ul><li>Own and evolve dashboards and reporting systems tracking search performance and user engagement.
</li><li>Develop clear, actionable data storytelling to communicate insights to technical and business stakeholders.
</li><li>Enable self-service analytics for partners through well-designed reporting tools.
</li></ul><h3 class="jobSectionHeader">Data Management &amp; Tooling
</h3><ul><li>Work with large-scale datasets using modern platforms (e.g., Databricks, Spark, SQL-based systems).
</li><li>Ensure high standards for data quality, metric consistency, and instrumentation reliability.
</li><li>Collaborate with engineering to improve logging, tracking, and observability of search systems.
</li></ul><h3 class="jobSectionHeader">Cross-functional Impact &amp; Mentorship
</h3><ul><li>Act as a key analytics partner to search data scientists, engineers, and product teams.
</li><li>Help elevate the team&rsquo;s understanding of retrieval performance and measurement frameworks.
</li></ul><h2 class="jobSectionHeader">Required qualifications
</h2><ul><li>Master&rsquo;s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)
</li><li>Significant experience in data analysis, business intelligence, or analytics roles
</li><li>Proficiency in SQL and Python for large-scale data analysis
</li><li>Advanced experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker, matplotlib, seaborn)
</li><li>Experience working with Databricks or similar large-scale data platforms
</li><li>Excellent understanding of experimentation design, A/B testing, and statistical analysis
</li><li>Experience defining and analyzing search/retrieval metrics (e.g., NDCG, recall, precision, ranking metrics)
</li><li>Proven ability to translate complex data into actionable insights and influence decisions
</li></ul><h2 class="jobSectionHeader">Preferred qualifications
</h2><ul><li>PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience)
</li><li>Experience working on search, ranking, or recommendation systems
</li><li>Familiarity with information retrieval concepts (e.g., indexing, ranking, query understanding)
</li><li>Exposure to clickstream data, user behavior analytics, and event tracking systems
</li><li>Experience supporting evaluation of ML-based ranking or retrieval systems
</li><li>Familiarity with RAG systems or GenAI applications
</li></ul>Why join us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. 
Work in a way that works for you
We promote a healthy work/life balance across the organization. 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.
<ul><li>Flexible working hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. 
</li></ul>Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
<ul><li>Holiday allowance with the option to buy additional days
</li><li>Health screening, eye care vouchers and private medical benefits
</li><li>Life assurance, plus optional additional life cover and spouse's life cover at own cost
</li><li>Access to a competitive contributory pension scheme
</li><li>Save As You Earn share option scheme
</li><li>Access to optional self funded benefits, including electric vehicle scheme, cycle to work scheme, dental insurance, critical illness cover, health cash plan, personal travel insurance
</li><li>Travel season ticket loan
</li><li>Paid time off when you become a parent, and paid time off for carers
</li><li>Support for personal and work-related challenges
</li><li>Access to emergency care for both the elderly and children
</li><li>Time off to support the charities and causes that matter to you
</li><li>Awards to recognize key service milestones
</li></ul>About the business
As 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&rsquo;s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. 
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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.
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 here .
Please read our Candidate Privacy Policy .
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.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Data Analyst I

Lendable

<div><h2 class="jobSectionHeader">About Lendable</h2>
Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world&rsquo;s leading fintech companies and are off to a strong start:<ul><li>
One of the UK&rsquo;s newest unicorns with a team of just over 700 people</li><li>
Among the fastest-growing tech companies in the UK</li><li>
Profitable since 2017</li><li>
Backed by top investors including Balderton Capital and Goldman Sachs</li><li>
Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)</li></ul>
So far, we&rsquo;ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers&rsquo; hands in minutes instead of days.
We&rsquo;re growing fast, and there&rsquo;s a lot more to do: we&rsquo;re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.<h2 class="jobSectionHeader">
Join us if you want to</h2><ul><li>
Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1</li><li>
Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo</li><li>
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting</li></ul><h2 class="jobSectionHeader">
About the role</h2>
We're looking for an analytics engineer to contribute to the analytical foundation of the UK Motor team, a rapidly-growing area of the business.
You&rsquo;ll work closely with analysts, product teams, backend engineers, and business stakeholders to improve how data is structured, transformed, and consumed across the company.
The role is fundamentally about building a strong analytical foundation: making it easier for teams to move from question to insight quickly, while maintaining high standards around data quality, scalability, and maintainability.
You'll contribute to the modelling layer, help improve how the business work with data, and support the team in keeping our warehouse a reliable, strategic asset for the business.<h2 class="jobSectionHeader">
What you'll be doing</h2><ul><li>
Building and improving the data models that support lending decisions, pricing, portfolio analysis, and investor reporting.</li><li>
Championing standards and contributing to the improvement of our analytics engineering culture.</li><li>
Supporting and collaborating with analysts at different technical levels,helping translate requirements into robust pipelines</li><li>
Helping triage and resolve issues that affect the analytics pipeline or reduce trust in downstream datasets, and contributing ideas to improve the efficiency, reliability, and cost-effectiveness of our transformation pipeline over time.</li></ul><h2 class="jobSectionHeader">
Our modern data stack</h2>
You&rsquo;ll work with a modern analytics stack centred around SQL, Snowflake, dbt, Fivetran and Claude.<h2 class="jobSectionHeader">
What we're looking for</h2>
We&rsquo;re looking for someone with solid analytics engineering fundamentals and the ability to apply them pragmatically in a fast-moving environment and explain tradeoffs to stakeholders with varying technical depth.
More specifically, we&rsquo;re looking for:<ul><li>
Strong data modelling skills and a good understanding of how analytical datasets should be structured for reliability and usability.</li><li>
Strong experience with ELT pipelines and transformation at scale, ideally using dbt.</li><li>
Experience with Snowflake or another modern cloud data warehouse.</li><li>
Proactiveness in raising areas of data workflows that could be improved and suggesting solutions.</li><li>
A collaborative working style and clear communication across technical and non-technical stakeholders.</li><li>
Comfort using AI tools effectively to move faster, improve quality, and strengthen day-to-day analytical and engineering workflows</li></ul><h2 class="jobSectionHeader">
Interview process</h2><ul><li>
Initial call with an engineer</li><li>
15 minute Cognitive Assessment</li><li>
Onsite or Video Interview lasting 90 minutes, comprising of:<ul><li>
Introduction of the team and kind of work you could be doing daily</li><li>
Interactive architecture/design exercise</li><li>
Questions you may have about the company, role, etc.</li></ul></li><li>
A 60 minute chat with this role's primary stakeholders<ul><li>
Cultural/behavioural questions</li><li>
Product mindset and ability to collaborate and communicate</li></ul></li></ul><h2 class="jobSectionHeader">
Life at Lendable</h2><ul><li>
Winning team: the opportunity to scale up one of the world&rsquo;s most successful fintech companies</li><li>
Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites</li><li>
Socials &amp; connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls</li><li>
Health coverage: support for your physical and mental wellbeing, including private health cover</li><li>
Retirement &amp; savings: long-term financial wellbeing through retirement savings plans</li><li>
Employee referral programme: earn a competitive bonus when you refer successful new team members</li><li>
Office meals &amp; snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations</li><li>
Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations</li></ul>
Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.
Check out our blog!</div>

Analytics Engineer

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