machine learning engineer

data engineer

data scientist

senior data scientist

data science manager

data analytics developer

Ci&T

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
 
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
 
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
 
We're looking for a contractor to join us on a 6 month basis to help with a project in the financial services sector focussing on their DBT Modelling, cross-domain data products and trusted analytics-ready datasets.
 
In this role you'll: 
Build and maintain DBT models for cross-domain analytics use cases
 Create reusable facts, dimensions and marts for analytics consumption
 Support cross-domain data products such as Churn, LTV, Segmentation and Customer Intelligence
 Implement dbt tests, source freshness checks and reconciliation logic
 Translate business requirements into data models and metric logic
 Support data quality checks and model validation
 Document model definitions, business rules, assumptions and lineage
 Work closely with analytics and domain teams to ensure datasets are fit for reporting and decisioning
 
We need someone with these skills: 
Strong hands-on experience with DBT
 Strong SQL and Snowflake experience
 Experience building facts, dimensions, marts and analytics-ready data models
 Strong understanding of data modelling and metric design
 Experience implementing dbt tests, source freshness checks and data quality validations
 Ability to translate business requirements into trusted data models
 Experience working with analysts, product teams and business stakeholders
 Good documentation skills for model logic, metric definitions and lineage
 Experience working in modern data stack environments
 
Collaboration is our superpower, diversity unites us, and excellence is our standard.
 We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

[29868] - Data Analytics Engineer - DBT Modelling (Contract)

Beazley Group

<div>General:
<div>
Job Title: Catastrophe Risk Data Automation &amp; Reporting Developer</div><div> 
</div><div>Division: Exposure Management &ndash; Underwriting</div><div> 
</div><div>Reports To: As per Beazley&rsquo;s organisation chart</div><div> 
</div><div>Key Relationships: Exposure Management team, Underwriting teams, Capital Modelling team, Ceded Reinsurance team, Risk Management team, Governance Committees</div><div></div><div> 
Job Summary: This role is within the Exposure Management team dedicated to catastrophe risk management for Beazley&rsquo;s Cyber Risks and Speciality Risks divisions. The role will enhance the efficiency, accuracy, and scalability of reporting and data processes across the business. The position focuses on modernising reporting pipelines, automating manual workflows, and ensuring the consistent and reliable production of critical management and regulatory information. The postholder will combine technical coding expertise with an understanding of insurance exposure data to deliver robust, long‑term solutions.</div><div></div><div> 
Key Responsibilities:</div>
Reporting, Data Automation &amp; Solution Development:
<ul><li>Work alongside Exposure Management Analysts to update, streamline, and optimise reporting processes using modern coding practices, tooling, and programming languages.</li><li>
Design, build, automate, and maintain the production of Management Information (MI), ensuring outputs are accurate, timely, repeatable, and scalable.</li><li>
Develop automated data transformation routines, dashboards, and reporting feeds using tools such as SQL, R, Power BI, or Python (if applicable).</li><li>
Build solutions for how Exposure Management data is presented, consumed, and integrated with other functions (e.g., pricing tools, underwriting systems, capital modelling).</li><li>
Create reusable code modules, templates, and documentation to support consistent development standards across the team.</li></ul><div></div><div> 
Process Improvement &amp; Regulatory Reporting:
</div><ul><li>Review and enhance internal processes for regulatory submissions, including (but not limited to) Lloyd&rsquo;s Realistic Disaster Scenarios (RDS) and Lloyd&rsquo;s RDS/RDL returns.</li><li>
Identify opportunities for automation, data quality improvement, and improved auditability within regulatory reporting.</li><li>
Ensure processes align with good practices in accuracy, validation, and governance.</li><li>
Train colleagues on processes and contribute to the upskilling of Exposure Management colleagues in data automation and reporting.</li></ul><div> 
</div><div>Cross‑Functional Collaboration:</div><ul><li>
Work collaboratively with underwriting support functions (claims, risk, data management) to source, validate, and integrate data where required.</li><li>
Partner with IT on system upgrades, technology migrations, process redesigns, and testing to ensure seamless adoption of new Exposure Management systems.</li><li>
Collaborate with Beazley IT Architecture to design and implement long‑term, scalable technical solutions for reporting, data storage, and process automation.</li><li>
Support central Exposure Management on ad-hoc analytical projects, process reviews, and data investigations.</li></ul><div></div><div> 
Quality, Governance &amp; Continuous Improvement:
</div><ul><li>Contribute to building strong data governance practices and improving data quality across Exposure Management.</li><li>
Develop monitoring and validation checks within automated processes to maintain accuracy and consistency.</li><li>
Ensure technical solutions are well-documented, tested, and maintainable for future use.</li></ul><div></div><div> 
General:</div>
It is important that within all your interactions both internally and externally you adhere Beazley&rsquo;s core values - Being Bold, Striving for Better, and Doing the Right Thing as they contribute to an internal environment of teamwork and promote a positive brand image and experience to our external customers. We also expect Beazley employees to: 
<div></div><ul><li>
Comply with Beazley procedures, policies and regulations including the code of conduct which incorporates the PRA and FCA Conduct.</li><li>
Undertake training on Beazley policies and procedures as delivered by your line manager, the People &amp; Sustainability or assurance teams (compliance, risk, internal audit) either directly, via e-learning or the learning management system.</li><li>
Display business ethics that uphold the interests of all our customers.</li><li>
Ensure all interactions with customers are focused on delivering a fair outcome, including having the right products for their needs.</li><li>
Comply with any specific responsibilities necessary for your role as outlined by your line manager, the People &amp; Sustainability or assurance teams (compliance, risk, internal audit) and ensure you keep up to date with developments in these areas. This may include, amongst others, Beazley&rsquo;s underwriting control standards, Beazley&rsquo;s claims control standards, other Beazley standards and customer relationship management.</li><li>
Carry out additional responsibilities as individually notified, either through your objectives or through the learning management system. These may include membership of any Beazley committees or working groups.</li></ul><div></div><div> 
Personal Specification:</div>
Education and Qualifications<ul><li>
Educated to A‑Level or equivalent.</li><li>
Degree in a relevant discipline preferred but not essential.</li><li>
Actuarial background is advantageous but not required.</li></ul><div>
Skills and Abilities</div><ul><li>
Strong numerical ability with excellent attention to detail and accuracy.</li><li>
Effective verbal and written communication skills, able to explain technical concepts to non‑technical audiences.</li><li>
Strong time‑management skills with the ability to manage competing priorities.</li><li>
Ability to work independently as well as collaboratively in a team environment.</li><li>
Problem-solving mindset with the ability to analyse issues and develop practical solutions.</li></ul><div>
Knowledge and Experience</div><ul><li>
Previous insurance experience, ideally within exposure management, analytics.</li><li>
Strong technical skills, including advanced Excel and SQL coding/programming experience.</li><li>
Other coding/programming experience desirable (e.g., VBA, R, Python, Power BI).</li><li>
Experience in process automation, data manipulation, and report production desirable.</li><li>
Understanding of catastrophe modelling, exposure data, or Lloyd&rsquo;s reporting frameworks beneficial but not essential.</li></ul><div>
Aptitude and Disposition</div><ul><li>
Self‑motivated and proactive with a passion for continuous improvement.</li><li>
Flexible and enthusiastic, able to adapt to evolving business needs.</li><li>
Professional, reliable, and committed to delivering high‑quality outputs.</li></ul><div>
Competencies</div><ul><li>
Accuracy &amp; attention to detail</li><li>
Self‑starter mentality</li><li>
Delivery speed balanced with quality</li><li>
Effective teamwork</li><li>
Strong organisational and time management skills</li></ul></div>

Catastrophe Risk Data Automation & Reporting Developer

C3 AI

<div>
 C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at:
 
 C3 AI
 
 
 
 As a member of the
 
 C3 AI Data Science team
 
 , you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform (c3.ai/customers/). You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale.
 
 
 Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.
 
 
 This is a frontline role on some of the most consequential AI programmes in UK and European defence today. You will help design and deploy AI that keeps aircraft and platforms mission-ready through predictive maintenance, that sharpens decision-making through Digital Targeting, and that sustains operations through logistics in contested and degraded environments. These are live programmes with real operational stakes, delivered into demanding, secure settings across the UK MOD, NATO, and allied European partners.
 
 
 Some travel to customer and partner locations should be expected.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applications leveraging the C3 AI Suite.
 </li>
 <li>
 Assist and enable C3 AI's customers to build their own applications on the C3 AI Suite.
 </li>
 <li>
 Contribute to the design and implementation of new features of the C3 AI Suite.
 </li>
 <li>
 Analyse model performance across asset fleets, diagnose issues such as low risk scores or false positives, and recommend hyperparameter adjustments.
 </li>
 <li>
 Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
 
 
 </li>
 </ul>
 
 This role supports defence programmes that require UK Security Clearance. Candidates must hold, or be able to obtain and maintain, [SC / NATO] clearance. Eligibility is set by the contracting authority and typically requires a minimum of five years&rsquo; continuous UK residence.
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
 </li>
 <li>
 Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning).
 </li>
 <li>
 Strong mathematical background (linear algebra, calculus, probability and statistics).
 </li>
 <li>
 Experience with scalable ML (MapReduce, streaming).
 </li>
 <li>
 Ability to drive a project and work both independently and in a team.
 </li>
 <li>
 Smart, motivated, can do attitude, and seeks to make a difference.
 </li>
 <li>
 Excellent verbal and written communication.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with JavaScript and prototyping languages such as Python and R. Experience with Java and Scala is a plus.
 </li>
 <li>
 A portfolio of projects (GitHub, papers, etc.) is a plus.
 
 
 </li>
 </ul>
 
 C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
 
 
 
 C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
</div>

Data Scientist - Defence

Leonardo

<div>Job Description:<div>
Salary Range: &pound;40,000 &ndash; &pound;71,400 basic with a 12.5% uplift</div><div><div><div><div><div><div><div><div><div>
Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects the approved grade band for this role, or a narrower hiring range published within that band, and is benchmarked against the external market. Exceptions above the standard range are managed through governance controls to protect internal equity.</div></div></div></div></div></div></div></div></div>
Your impact
Our Central London team is looking for talented and enthusiastic analysts to perform weapon system assessments for our UK Ministry of Defence (MOD) customer. The role will suit either recent STEM graduates, postgraduates, or those with relevant industry experience of systems engineering who wish to apply their abilities in a technical analysis and systems assessment environment. You will help ensure that MOD&rsquo;s weapon assessments are robust and delivered in a timely manner to UK Defence partners and front-line forces.
This is intended as a fulltime position, but we would consider part time working of 4 days per week. This is primarily an on-site role with some possibility for hybrid working.<ul><li>
Customer Integration: You will be a member of a weapons project team within our larger Defence Analytics Group working in Central London. The group is integrated into a joint unit with government employees, members of the armed forces, and other contractors.</li><li>
The Challenge: To conduct analysis to assess the performance and capability of weapon systems. Complex problems are solved through the application of scientific methods, physical principles, data analytics, and AI and Machine Learning to intractable data sets. This process may involve new techniques and their encapsulation in improved tools.</li><li>
Collaboration: You will be working in close liaison with teams within the UK and partner nations, with the opportunity to contribute, influence, challenge and improve joint ways of working and knowledge.</li><li>
Breadth: You will be working in an environment where both the complexity and capabilities of the systems are continually evolving throughout the world.</li></ul>
What you&rsquo;ll do as a Defence Analytics Engineer:<ul><li>
Conduct analysis through the application of physical principles to real world problems. This will be facilitated through the suite of in-house software tools and the development of ad-hoc software, primarily in Python.</li><li>
Production of reports and presentations of your work and presentation of them to local MOD customers and the wider community both within the UK and partner nations.</li><li>
Provide ad hoc advice and support to MOD customers, often at short notice.</li><li>
Use your developing experience and knowledge to propose and implement improvements to tools and processes.</li><li>
In conjunction with the project team conduct regular liaison with both MOD and the wider customer base to keep them informed of recent developments and to determine future analysis requirements.</li><li>
Seek co-operative and collaborative approaches with our UK and multi-national partners, identifying best practice.</li><li>
Travel for technical exchanges with our partners, in the UK and abroad.</li></ul>
What you&rsquo;ll bring<ul><li>
A good understanding of scientific methods and their use through the application of fundamental physical principles.</li><li>
A degree in a STEM subject and strong numerical and analytical skills, with the ability to apply these to real world problems.</li><li>
Good Interpersonal skills to facilitate collaborative and effective working within an inter-disciplinary team.</li><li>
Ability to problem solve and self-steer, work to deadlines as necessary, sometimes at short notice.</li><li>
Ability to communicate, both in writing and verbally, with audiences of differing technical backgrounds and seniority.</li><li>
Although not essential, an appreciation of aerospace technologies, such as aerodynamics, propulsion, guidance &amp; control, weapon systems and sensors would be an advantage.</li><li>
Experience of Python, C# and AI/ML would be a distinct advantage.</li></ul>
This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn.
Security Clearance
This role is subject to pre-employment screening in line with the UK Government&rsquo;s Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) will apply, this will include meeting the eligibility requirements for The Security Check (SC) and Developed Vetting (DV). For more information and guidance please visit: https://careers.uk.leonardo.com/gb/en/security-and-vetting
Why join us
At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company-funded benefits package that supports your wellbeing, career development, and work&ndash;life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we&rsquo;re here to help you thrive.<ul><li>
Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi-days each year.</li><li>
Secure your Future: Benefit from our award-winning pension scheme with up to 15% employer contribution.</li><li>
Your Wellbeing Matters: Free access to mental health support, financial advice, and employee-led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity).</li><li>
Rewarding Performance: All employees at management level and below are eligible for our bonus scheme.</li><li>
Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning.</li><li>
Refer a friend: Receive a financial reward through our referral programme.</li><li>
Tailored Perks: Spend up to &pound;500 annually on flexible benefits including private healthcare, dental, family cover, tech &amp; lifestyle discounts, gym memberships and more.</li><li>
Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role.</li></ul>
For a full list of our company benefits please visit our website.
Leonardo is a global leader in Aerospace, Defence, and Security. Headquartered in Italy, we employ over 53,000 people worldwide including 8,500 across 9 sites in the UK. Our employees are not just part of a team&mdash;they are key contributors to shaping innovation, advancing technology, and enhancing global safety.
At Leonardo we are committed to building an inclusive, accessible, and welcoming workplace. We believe that a diverse workforce sparks creativity, drives innovation, and leads to better outcomes for our people and our customers. If you have any accessibility requirements to support you during the recruitment process, just let us know.
Be part of something bigger - apply now!
Primary Location:
GB - London - Whitehall
Contract Type:
Permanent
Hybrid Working:
Onsite</div>

Defence Analytics Engineer

duvo.ai

<div>
 
 About The Role
 
 
 
 We already collect a lot of data &mdash; now we need someone to turn it into leverage. This is not a classic pipelines-and-warehouse hire (that's table stakes). It's an AI-native take on the data role: build the foundations, then build the agents and internal workflows on top that make the whole organization faster and more data-driven.
 
 
 What you'll own
 
 
 The data foundation &mdash; pipelines, warehouse, the substrate. Necessary, but not the point.
 
 
 Agents and internal workflows built on top of that foundation &mdash; the actual leverage.
 
 
 Enabling the org (product and beyond) to make faster, data-driven decisions.
 
 
 This is an AI-native, senior role for someone who builds. You'll work across the data substrate and the agentic layer on top of it, and you'll be measured by how much faster and smarter you make the rest of the team.
 
 
 Compensation Range: &euro;135K - &euro;190K
 
 
</div>

Data Engineer (EU/UK Based - Remote)

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Quant Developer &ndash; Trading Analytics &ndash; Equity Derivatives Tech
Engineer the future of global finance. At Citi, our Tech team doesn&rsquo;t just support finance &ndash; we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.
Equities Tech
Equities Technology at Citi is undertaking a bold, multi‑year transformation to build a best‑in‑class global platform across execution, prime, clearing and cross‑product margining. We are re‑engineering our technology estate to achieve world‑leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post‑trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you&rsquo;ll collaborate closely with high‑calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi.
The Team
Citi&rsquo;s Equities Technology organisation is investing in front-office quantitative development to support the Derivatives Flow, Delta 1, and Exotics desks.
We are hiring a hands-on Quantitative Developer to build data-driven, model-led trading analytics and desk tooling for Sales, Trading, and Quant teams, supporting pricing, signal generation, backtesting, risk analysis, and real-time market insight.
Role Overview
<ul><li>You will work directly with traders, quants, and structurers to design and deliver production-grade tools for the front office.</li>
<li>Build trading analytics and desk tools for the Derivatives Flow, Delta 1, and Exotics businesses. Partner with traders and quants to productionise models and analytical workflows</li>
<li>Build real-time pricing, risk, and market data analytics to support positions, Greeks, P&amp;L, exposures, and execution monitoring.</li>
<li>Develop backtesting and simulation frameworks for equity derivatives and structured products.</li>
<li>Create data pipelines and services for market data, trade data and derived analytics.</li>
<li>Deliver tools for trade idea generation, volatility analysis, flow analysis, basket/index analytics, and hedging support.</li>
<li>Improve the desk technology stack through reusable libraries, APIs, and robust engineering practices.</li>
<li>Optimise performance, scalability, and reliability of quantitative applications.</li>
</ul>Skills required:
<ul><li>Python data engineering stack: Pandas/Parquet/FastAPI/Jupyter/Airflow/Streamlit/Ray</li>
<li>Experience with high-performance data stores and query engines like Trino/Snowflake</li>
<li>Experience with financial concepts such as Equities / Options / Futures</li>
<li>Demonstrable evidence using agentic frameworks for Software development and experience with AI-native solutions using context engineering techniques.</li>
<li>A degree in quantitative subjects such as Engineering, Applied Mathematics, Physics, Software Engineering</li>
</ul>Skills desired:
<ul><li>Experience with real-time streaming analytics tech like Kafka / Flink</li>
<li>Experience with cloud container technologies, e.g. AWS, Azure, GCP, Docker, or Kubernetes</li>
</ul>This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
What we&rsquo;ll provide you
By joining Citi, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:
<ul><li>27 days annual leave (plus bank holidays)</li>
<li>A discretional annual performance related bonus</li>
<li>Private Medical Care &amp; Life Insurance</li>
<li>Employee Assistance Program</li>
<li>Pension Plan</li>
<li>Paid Parental Leave</li>
<li>Special discounts for employees, family, and friends</li>
<li>Access to an array of learning and development resources</li>
</ul>Visit our About Us | Culture, Values &amp; Benefits page to learn more.
Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.
#LI-AP2
-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
-
<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

Lead Developer – VP – XVA Technology

RELX Group

<div>About the Team 
 
Elsevier, part of the RELX Group, is a global leader in information and analytics for science and healthcare. Our mission is to partner with the research and healthcare communities we serve to advance knowledge and drive human progress. 
 
Within the Academic Leaders &amp; Funders (AL&amp;F) Solutions group, we deliver data-driven insights, workflow solutions, and platforms that strengthen strategy, performance, collaboration, and operational efficiency for university leaders and research funders worldwide. 
 
About the Role 
 
This is a portfolio-wide engineering leadership role responsible for strategy, delivery, and operations across a global suite of SaaS platforms.
Reporting to the CTO and leading ~120 engineers, you will drive a shift toward an AI-enabled, automated engineering and product model, improving how we build software and how our products deliver value to customers. 
 
You will work closely with product leadership to translate strategy into scalable, secure, and high-performing platforms used by institutions worldwide. 
 
Key Deliverables &amp; Success Metrics 
 
<ul><li>Define and execute an engineering strategy aligned to portfolio and product priorities
</li></ul><ul><li>Evolve the organisation toward an AI-first operating model, improving developer effectiveness and delivery speed
</li></ul><ul><li>Deliver data-centric solutions with embedded intelligence that enhance workflows and decision-making
</li></ul><ul><li>Improve scalability, reliability, and integration across the portfolio
</li></ul>Build a high-performing, globally distributed engineering organisation 
<ul><li>
</li></ul> 
Responsibilities 
 
<ul><li>Set and deliver the multi-year engineering roadmap in partnership with product and technology leadership
</li></ul><ul><li>Lead the development of cloud-native SaaS platforms supporting complex, workflow-driven use cases
</li></ul><ul><li>Introduce AI-assisted development practices and tooling to improve speed, quality, and efficiency
</li></ul><ul><li>Drive integration of products, platforms, and data, including post-acquisition alignment and simplification
</li></ul><ul><li>Establish scalable data and platform foundations to support analytics, automation, and future AI use cases
</li></ul><ul><li>Standardize engineering practices, architecture, and tooling across teams to reduce fragmentation
</li></ul><ul><li>Ensure strong governance, security, and regulatory compliance across global markets
</li></ul><ul><li>Partner with product, UX, and commercial teams to deliver end-to-end customer outcomes
</li></ul><ul><li>Build and develop a global engineering organisation, strengthening leadership capability and technical depth
</li>Operate effectively in a matrixed environment, influencing senior stakeholders and driving execution 
<li>
</li></ul> 
Requirements 
<ul><li>15+ years&rsquo; experience in software engineering, including senior leadership roles
</li></ul><ul><li>Proven track record delivering complex SaaS platforms at scale
</li></ul><ul><li>Experience embedding AI, data, or automation capabilities into products or engineering workflows
</li></ul><ul><li>Strong background in cloud-native architectures and modern engineering practices
</li></ul><ul><li>Demonstrated success leading large, global engineering teams (100+)
</li></ul><ul><li>Ability to translate technical strategy into measurable business and customer outcomes
</li></ul><ul><li>Strong stakeholder leadership across product, data, and commercial functions
</li></ul>Experience integrating products, platforms, and data, including through acquisition is desirable 
<ul><li>
</li></ul> 
What Success Looks Like 
<ul><li>Engineering teams deliver faster, with higher quality and less friction
</li></ul><ul><li>Platforms are simpler, better integrated, and built on shared data foundations
</li></ul><ul><li>Products increasingly deliver automation, insight, and intelligent support to users
</li></ul>The organisation adopts a modern, AI-enabled way of building and operating software 
<ul><li>
</li></ul> 
Work in a way that works for you 
 
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. 
 
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 
<ul><li>
</li></ul> 
Working for you 
 
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: 
 
<ul><li>Generous holiday allowance with the option to buy additional days
</li><li>Health screening, eye care vouchers and private medical benefits
</li><li>Wellbeing programs
</li><li>Life assurance
</li><li>Access to a competitive contributory pension scheme
</li><li>Save As You Earn share option scheme
</li><li>Travel Season ticket loan
</li><li>Electric Vehicle Scheme
</li><li>Optional Dental Insurance
</li><li>Maternity, paternity and shared parental leave
</li><li>Employee Assistance Programme
</li><li>Access to emergency care for both the elderly and children
</li><li>RECARES days, giving you time to support the charities and causes that matter to you
</li><li>Access to employee resource groups with dedicated time to volunteer
</li><li>Access to extensive learning and development resources
</li>Access to employee discounts scheme via Perks at Work 
<li>
</li></ul> 
About the Business 
 
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.
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VP Technology - Software Engineering

Explore 251+ Data analytics developer in London this July. Find roles across top companies and apply now to boost your career.