data engineer

data scientist

ai engineer

senior software engineer

senior data scientist

data technical lead

Selfridges

<div>Job Introduction
<div>
Here at Selfridges our customers are at the heart of everything we do, and we want to be known for delivering the best, most extraordinary experiences that keep our customers coming back. We are on a journey to build flexible, innovative technology platforms that create inspiring and effortless experiences across all our customer touchpoints.</div><div></div><div><br>
Our Engineering team plays a central role in shaping these digital experiences, our e-commerce and digital platforms are central to creating innovative, customer-centric experiences. As we grow, we are looking for talented, curious individuals to join us, bring their unique perspectives, and help reimagine our digital platforms to new heights.</div><div></div><div><br>
This is a hybrid role working from home and our offices in either London or Leicester.</div><p>
A bit about the role</p><div>
We&rsquo;re looking for a Tech Lead to help evolve Selfridges&rsquo; Enterprise Data Platform (EDP), the foundation that powers insights, personalisation, and data-driven decision-making across the business.</div><div></div><div><br>
In this role, you&rsquo;ll be a leader in shaping the technical direction for our Snowflake-based data ecosystem while supporting the Architecture function. You&rsquo;ll work across Python, AWS, and Salesforce Data Cloud, helping to design, build, and optimise the pipelines and integrations that connect our digital, store, and enterprise systems.</div><div></div><div><br>
Alongside your technical delivery, you&rsquo;ll indirectly manage a team of engineers, helping them grow their skills and ensuring best practices are embedded across the team. You&rsquo;ll collaborate closely with architects, analysts, and product teams to deliver secure, performant, and scalable data solutions that enable world-class experiences for our customers.</div><div></div><p><br>
Key Responsibilities</p><ul><li>
Lead and contribute to defining the technical direction and standards of the Enterprise Data Platform in collaboration with architecture and engineering leads</li><li>
Support the Architecture function in designing scalable data models and integration patterns</li><li>
Lead by example through hands-on design and development ofdata pipelines in Python,SQL, and AWS services(Lambda, Glue, Step Functions, S3)</li><li>
Help evolve and maintain the Snowflake environment, focusing on optimisation, governance, and performance</li><li>
Collaborate on integrations between Snowflake, Salesforce, and enterprise systems, including future Salesforce Data Cloud enablement</li><li>
Partner with Power BIand analytics teams to ensure data reliability and accessibility for dashboards, insights, and reporting</li><li>
Work with DevOps and Platform Engineering to enhance CI/CD, observability, and automation practices for data workloads</li><li>
Drive a strong focus ondata quality,reusability, andperformanceacross all ingestion and transformation layers</li><li>
Collaborate across squads and domains to align data platform delivery with Selfridges&rsquo; wider digital and customer experience strategies</li></ul><div></div><p><br>
A bit about you</p><ul><li>
Experienced data engineer or technical lead, ideally with previous line management or mentorship experience as you will in directly manage teams</li><li>
Strong hands-on experience with Snowflake and AWS data services(Lambda, Glue, Step Functions, S3, SNS/SQS)</li><li>
Proficient in Python and SQL, building reliable and maintainable ETL/ELT pipelines</li><li>
Solid understanding of data modelling(dimensional, star schema, or modern data mesh concepts)</li><li>
Experience integrating with Salesforce (CRM, APIs, or Data Cloud)</li><li>
Familiar with Power BI or similar BI tools for downstream analytics and reporting</li><li>
Knowledge of CI/CD,infrastructure as code(Terraform or CDK), and modern observability tooling</li><li>
Skilled communicator and collaborator, able to work effectively with architects, product managers, and cross-functional teams</li><li>
Passionate about engineering excellence,team development, and delivering data solutions that drive real business impact</li><li>
Enthusiastic about mentoring and supporting engineers&rsquo; growth, with a track record of building high-performing teams</li></ul><div></div><p><br>
Desirable</p><ul><li>
Experience with dbt, Airflow, or Dagster</li><li>
Familiarity with event-driven architectures(EventBridge, Kafka, SNS/SQS)</li><li>
Exposure to data governance,security, and compliance frameworks</li><li>
Background inretail, loyalty, or customer data platforms</li><li>
Experience working with or implementingSalesforce Data Cloudintegrations</li><li>
Awareness ofAI/ML data readinesspractices, including feature engineering, dataset curation, and model-serving pipelines</li><li>
Familiarity withSnowflake Cortex,AWS Bedrock, or other cloud-native AI/ML services for data enrichment and automation</li><li>
Interest in emergingGenAI and LLMuse cases for personalisation, recommendation systems, and intelligent automation</li></ul></div>

Data Tech Lead

Cognite - AI for Industry

<p></p><div><div><h1 class="jobSectionHeader"><b>What Cognite is:</b><b> </b><b>Relentless</b><b> </b><b>to achieve</b></h1>
<p></p>
<p>Cognite operates at the forefront of <b>industrial digitalization, building AI</b>, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.</p>
<p>
We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here.</p>
<p>
Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.</p></div><p></p><div><br>
<h1 class="jobSectionHeader"><b>
About the role</b></h1>
<p>
Cognite's European Delivery organisation is growing in both scale and technical ambition. As Manager of Data Engineering, you will lead, develop, and retain a team of Data Engineers operating across some of the most complex industrial AI engagements in the market &mdash; ensuring they are technically strong, professionally developed, and set up to deliver at the standard our customers expect.</p>
<p>
This is not a pure people management role. You will carry a meaningful delivery commitment &mdash; approximately 50% billable capacity &mdash; working on customer projects alongside your team. Your credibility as a manager depends on being a practitioner: you need to understand the work at depth in order to coach it, assess it, and<br>
raise the bar on it.</p>
<p>
You will be part of the Value Delivery (VD) Europe profession leadership team and work closely with Portfolio Managers, and cross-functional leaders across Value Delivery.</p>
<h1 class="jobSectionHeader"><b>
How you'll demonstrate </b><b>Ownership</b></h1>
</div>
<div><p><b>People Development &amp; Performance</b></p>
<ul>
<li>Own the professional development of your Data Engineers spanning junior to seasoned Data Engineers, running structured 1:1s, calibrated performance reviews, and growth conversations grounded in the Data</li>
<li>Engineering framework.</li>
<li>Provide technically specific coaching &mdash; not generic management feedback. Your engineers should leave conversations with a clearer understanding of what good looks like and how to close the gap.</li>
<li>Identify and address skill gaps proactively, before they surface as delivery problems on customer engagements.</li>
<li>Build a team culture of ownership, technical rigour, and AI-first delivery &mdash; consistent with the behaviours defined in the EDF at every level</li>
</ul>
<p><b>Delivery Accountability</b></p>
<ul>
<li>Carry approximately 50% billable capacity on customer projects &mdash; this is a firm expectation, not a stretch target.</li>
<li>Review Statements of Work (SOWs) before your engineers are committed to them: assess scope fit, identify skill gaps, and flag delivery risks before they become customer problems.</li>
<li>Champion your team's interests in staffing decisions &mdash; actively match engineers to engagements where they can deliver and grow, not just where there is a vacancy to fill.</li>
<li>Act as an escalation point when delivery gets hard. Be the steady hand, not a passive observer.</li>
</ul>
<p><b>Profession &amp; Team Building</b></p>
<ul>
<li>Contribute to standardising delivery practices across Value Delivery Europe &mdash; drive consistency in how we design, build, and document data engineering solutions.</li>
<li>Organise and lead professional development sessions relevant to the team's growth areas and project landscape.</li>
<li>Collect, prioritise, and escalate product feedback from your engineers and customers to the relevant internal teams.</li>
<li>Lead or contribute to hiring for your team &mdash; define what good looks like for each level and bring that standard to interviews and onboarding.</li>
</ul>
<p><b>AI-First Leadership</b></p>
<ul>
<li>Model and reinforce AI-first delivery practices across your team &mdash; not as a policy, but as a standard of work.</li>
<li>Hold your engineers to the AI fluency expectations defined in the EDF at each level: daily use, responsible validation, knowledge sharing, and continuous upskilling.</li>
<li>Stay current on AI tooling relevant to industrial data engineering and bring that knowledge into your team's practice.</li>
</ul>
</div><div></div><div><div><h1 class="jobSectionHeader"><b>What we are looking for</b></h1>
<p><b>
Required</b></p>
<ul>
<li>Proven hands-on data engineering background &mdash; production-grade Python, SQL, REST APIs, and cloud-native pipeline development. You must be able to review your team's technical work and have credible technical conversations with customers.</li>
<li>At least one year of meaningful association with Cognite's platform and products, with direct delivery experience on customer engagements. External candidates will not be considered for this role.</li>
<li>Demonstrated ability to develop people &mdash; not just manage tasks. You have concrete examples of engineers you have helped grow, with specific feedback that changed how they work.</li>
<li>Customer-facing confidence: you can hold a technical conversation with a senior customer stakeholder, translate engineering decisions into business language, and manage expectations under pressure.</li>
<li>Strong operational judgement: you can read a SOW, spot a risk, and have a difficult conversation about scope before it becomes a delivery failure.</li>
</ul>
</div></div><div><p><b>Strong Advantage</b></p>
<ul>
<li>Formal or informal people management experience &mdash; direct reports, tech leads, or structured mentorship programmes.</li>
<li>Deep Cognite Data Fusion expertise: data modelling, SDK development, AI/LLM integration patterns, deployment packs.</li>
<li>Experience working in a Value Delivery or professional services environment where you were simultaneously accountable for delivery and team capability. Familiarity with Cognite's EDF and comfort using it as a coaching and calibration tool.</li>
<li>Track record of hiring &mdash; you know what good looks like at different levels and you can articulate it clearly.</li>
</ul><h2 class="jobSectionHeader"><b>How We Think About This Role</b></h2>
<p>
The best candidate for this role is an E3 Data Engineer &mdash; or equivalent &mdash; who is ready to multiply their impact through others, not just through their own technical output. Technical credibility is the foundation. A manager who cannot assess their engineers' work, engage meaningfully in SOW reviews, or hold a technical conversation with a customer will lose the team's respect quickly in this environment. People development is the job. The 50% delivery commitment is real &mdash; but the primary measure of success in this role is whether the Data Engineers on your team are growing, performing, and staying.</p>
<h2 class="jobSectionHeader"><b>
Why This Role</b></h2>
<ul><li>High visibility within Cognite's European Delivery organisation &mdash; direct line to VP Delivery Europe.</li>
<li>Meaningful influence over how Data Engineering is practised and developed across VD Europe.</li>
<li>Ownership of a team at a critical growth stage &mdash; the work you do here shapes the function for years.</li>
<li>Part of a profession leadership team that is actively building something, not maintaining the status quo.</li></ul></div><div></div><div><br>
<div></div>
<div></div><div><b>Learn more about us</b></div><br>
<div></div>
<div></div>
<div></div><div><ul><li>Impact 2025</li>
<li>Cognite's Industrial AI: Moonshot</li>
<li>We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.</li></ul><br>
</div>
<div></div><div><b><i>Equal Opportunity</i></b></div>
<div><i>Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.</i></div></div></div>

Data Engineering Leader

LSEG (London Stock Exchange Group)

<div><p><b>Manager, Data Engineering Lead</b></p><p><b>
SwapClear and Listed Rates, LCH Ltd, </b><b>London</b><b>
</b></p><p></p><div><h1 class="jobSectionHeader"><b>LCH, SwapClear and Listed Rates</b></h1></div><p>
LCH Ltd is an international multi-asset class central counterparty clearing house (CCP), part of the London Stock Exchange Group. LCH Ltd serves a broad range of exchanges and over-the-counter trading platforms providing critical risk management services. It has a unique membership model and its customers span the globe and include major financial groups (including the majority of the major investment banks), broker-dealers and specialist commodity houses and a wide range of buy-side and real-money firms including major asset managers and large hedge funds.</p><p></p><p>
This role provides an opportunity to work on one of the most critical finance technology functions in the world. The LCH CCP is systematically significant to the world&rsquo;s financial markets which requires technology that has to be very resilient and with strong controls. LSE Group also provides a chance to work with other technology teams across the Exchange, and the rest of the Post Trade Businesses</p><p></p><p>
LCH SwapClear &amp; Listed Rates is the major clearing business for LCH and LSEG, one of the company flagships and the global leader in IRS Clearing. SwapClear is the largest global Rates platform in the world with the highest standards of resilience. The Platform clears ~9m new trades per annum and supports various daily post-trade processing features, such as margin optimisations. 90% of the cleared interest rate swaps globally pass through the platform, and we regularly clear in excess of $3.5 trillion notional per day with over 60 member bank groups and over 1000 clients serviced.</p><p></p><div><h1 class="jobSectionHeader"><b>
Role Profile</b></h1></div><p>
The Reporting &amp; Data Analytics platform underpins regulatory reporting, risk visibility, member reporting and internal analytics across SwapClear and Listed Rates. Given the scale, criticality and regulatory scrutiny of this data, the platform is subject to exacting availability, accuracy, lineage and governance requirements.</p><p>
LCH has embarked on a strategic transformation of its Reporting &amp; Data Analytics architecture, moving from legacy on-premise Oracle / Informatica stacks to a cloud native, <b>Snowflake </b>based data platform. This solution will enable <b>robust, performant</b> reporting, <b>self-service</b> analytics, and <b>new data distribution patterns</b> for our members and clients.</p><p>
Joining as a <b>Senior Engineer</b>, you will be accountable for setting the platform&rsquo;s<b> technical direction</b>, <b>delivering </b>Reporting &amp; Data Analytics features, and ensuring the <b>ongoing stability</b> of the platform during and beyond the transformation.</p><p>
You will be a technology leader with <b>deep hands-on data engineering experience</b>, strong technical judgement, and the seniority to engage confidently with <b>Group Architecture, Group Data Governance, and senior business partners</b>.</p><p>
You will lead a team of engineers to deliver the reporting and data analytics transformation, with responsibility for technical standards and professional development. You will ensure the team designs and builds solutions in line with our Engineering Principles, taking a data-driven approach, innovating with purpose, and acting as an owner.</p><p>
You will ensure the platform evolves beyond migration into a <b>scalable, governed platform</b> that supports our members and clients, and internal partners.</p><p><br>
</p><p></p><div><h1 class="jobSectionHeader"><b>Key Responsibilities</b></h1></div><ul><li>
Technology owner of the end-to-end data solutions for reporting and data analytics across SwapClear and Listed Rates.</li><li>
Lead the safe migration from legacy Oracle / Informatica platform to the target cloud architecture. Take accountability for successful legacy decommissioning, not just building the new platform.</li><li>
Lead the design, implementation and multi-year phased delivery for SwapClear and Listed Rates.</li><li>
Define and drive evolution of the Strategic Cloud data platform, ensure it is fit for purpose for SwapClear and Listed Rates use cases.</li><li>
Ensure the E2E platform meets availability, performance, resilience and security expected of a &quot;systemically important&quot; clearing house.</li><li>
Assists Product Owners and Delivery Leads with delivery planning of business goals/outcomes.</li><li>
Act as a senior technical partner to Group Architecture Authority, Group Data Governance and Product and business partners.</li><li>
Partner with Quality engineering to ensure that all aspects of the software development lifecycle is delivered to high levels of quality and using modern testing standards, automation and cloud-native practices.</li><li>
Build and maintain strong relationships with internal and external partners, using influence and trust to drive alignment, resolve challenges, and promote shared quality goals.<br>
</li></ul><div><h1 class="jobSectionHeader"><b>
Required Experience, Skills and Traits</b></h1></div><ul><li>
15+ years of hands-on software engineering experience, including at least 5+ years as a technical lead, with consistent track record of delivering high-quality solutions</li><li>
Shown leadership of enterprise scale Snowflake (or similar) data platform implementations.</li><li>
ELT data architectures, using dbt or similar</li><li>
Cloud data lake and data warehouse solutions</li><li>
Solid experience of data-centric solution using SQL, PL/SQL and Python</li><li>
Data warehouse modelling approaches</li><li>
Deep expertise in<ul><li>
Immutable, incremental and versioned data architectures</li><li>
Enterprise scale data modelling</li><li>
Data governance, lineage and control frameworks</li></ul></li><li>
Strong engineering background with the ability to engage deeply in design and implementation.</li><li>
Prior experience working with Informatica PowerCenter or similar solutions.</li><li>
Quality-first approach</li><li>
Seniority and credibility to influence group level architecture and governance bodies.</li><li>
Passionate about metrics driven approach and leading with data.</li><li>
Practical and relevant AI experience in data engineering / migrations use cases</li><li>
Detail oriented problem solver, comfortable &ldquo;diving-deep&rdquo;</li></ul><p></p><p><b>
Desired Experience, Skills and Traits</b></p><ul><li>
Experience operating in regulated, high availability environments.</li><li>
Degree in Computer Science, Software Engineering or equivalent.</li><li>
Knowledge and practical experience running technology both on prem and in cloud.</li><li>
Experience of large-scale real-time and batch process orchestration, optionally with third-party orchestration engines</li><li>
Good understanding of cyber security standards and practices and follows secure-by-design principle.</li><li>
Experience of working with agile frameworks like Scrum, Kanban.</li><li>
Background working in financial industry</li><li>
Experience of modern observability platforms e.g. DataDog</li></ul><p></p><div><h1 class="jobSectionHeader"><b>
About the London Stock Exchange Group</b></h1></div><p>
LSEG&rsquo;s vision is to be the most trusted expert in global financial markets. This is achieved through leading the world in providing access to capital, helping customers optimise capital resources and promoting trusted and transparent environments and services for investment.</p><p>
LSEG is a diversified international exchange Group that sits at the heart of the world's financial community. The Group operates through four key business divisions: Capital Markets (broad range of international equity, bond and derivatives markets); Post Trade (post trade and risk management services); Global Technology Services (high performance trading platforms and capital markets software); and Information Services (real-time and reference data products).</p><p>
LSEG prides itself on operating a neutral, trusted, well-regulated and systemically important market infrastructure and does this within a fast paced, real-time and highly regulated environment. The Group is accountable to its shareholders, clients, regulators and the societies in which it operates and the Group Values and Behaviours underpin how the Group meets those accountabilities.</p><p></p><p><b>
Career Stage:</b></p>
Manager<p></p><p><b>
London Stock Exchange Group (LSEG) Information:</b></p><p>
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.</p><p></p><p>
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.</p><p></p><p>
Our purpose is the foundation on which our culture is built. Our values of <b>Integrity, Partnership</b>, <b>Excellence</b> and <b>Change</b> underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.</p><p></p><p>
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.</p><p></p><p>
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.</p><p></p><p>
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.</p><p></p><p>
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.</p><p></p><p>
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
</p><p></p><p>If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.</p></div>

Data Engineering Lead

Houseful

<div><p>Alto Software Group is a B2B SaaS company that powers more than half of all UK housing transactions each year. We create software solutions that connect businesses and consumers, delivering a one-stop shop for estate agents and home builders. Our goal is to drive efficiency, speed up transactions, reduce risk, and improve the end-customer experience. While we&rsquo;re not a start-up, we have a start-up mindset and want our people to operate with this mindset so that we can achieve our ambitions.</p><p>
</p><p><b>The Role</b></p><p>
We are looking for a Data Science Lead to build and lead Alto&rsquo;s data science capability from the ground up. We have rich data flowing through our Mission Control platform and a clear commercial ambition to turn it into predictive insight &mdash; this hire gives us the leadership and technical depth to make that happen. You&rsquo;ll work at the intersection of data, product, and commercial strategy, with direct access to executive leadership and a platform that&rsquo;s ready to be exploited.</p><p>
</p><p><b>What You&rsquo;ll Do</b></p><ul><li>Define and own Alto&rsquo;s data science roadmap, prioritising use cases based on measurable ROI and commercial impact.</li><li>Build, deploy and maintain production-grade predictive models across churn, customer health, propensity and capacity forecasting.</li><li>Design and analyse experiments to test pricing, product and operational changes, raising the standard of statistical rigour across the business.</li><li>Partner with Platform and Data Engineering to productionise models on Mission Control, defining data quality and feature requirements for reliable modelling.</li><li>Develop segmentation and scoring frameworks that Customer Operations and Commercial teams can act on directly.</li><li>Work with the Head of AI Operations to identify automation opportunities grounded in data science outputs.</li><li>Surface insights through ThoughtSpot and AI-enabled reporting for senior stakeholders, up to executive level.</li><li>Mentor analysts and grow data science capability across the business, building a team rather than a one-person silo.</li></ul><p>
</p><p><b>Who You Are</b></p><ul><li><b>A Builder: </b>You don&rsquo;t just advise on data science &mdash; you write production code, ship models, and take personal accountability for outputs that are actually used.</li><li><b>Commercially Sharp: </b>You understand SaaS metrics (MRR, churn, NRR, GRR) and have personally connected data science work to measurable business outcomes, not just model performance.</li><li><b>A Technical Authority: </b>You bring expert-level Python and SQL, a solid grounding in statistics and causal inference, and a track record of models in production &mdash; not just notebooks.</li><li><b>Cross-Functionally Effective: </b>You move comfortably between engineering, commercial, and operational stakeholders, translating between data science and business outcomes without losing either audience.</li><li><b>Outcome-Focused: </b>You prioritise ruthlessly, track ROI on your work, and resist the pull of interesting-but-unactionable projects.</li><li><b>Comfortable in Ambiguity: </b>You can define the problem as well as solve it &mdash; you don&rsquo;t need a fully formed brief to make progress, and you bring structure where there isn&rsquo;t any.</li></ul><p>
</p><p><b>Our Technology Stack</b></p><p>
<b>Languages</b></p><ul><li>Python, SQL</li></ul><p><b>
BI &amp; Reporting</b></p><ul><li>ThoughtSpot</li></ul><p><b>
Platform</b></p><ul><li>Mission Control (Alto&rsquo;s internal data platform)</li></ul><p><b>
AI / ML</b></p><ul><li>Modern ML frameworks; experimentation and causal inference tooling; LLMs and practical AI applications</li></ul><p>
</p><p><b>Why Join Alto?</b></p><p>
This is a rare opportunity to build a data science function with a blank sheet, executive sponsorship, and a data platform already in production. You&rsquo;ll have the mandate and the access to make data science a structural part of how Alto operates &mdash; from retention and pricing to operational efficiency and intelligent automation. For a technically strong data scientist who wants to lead, not just contribute, this is that role.</p><b><br>
Benefits</b><ul><li><br>
<b>Hybrid &mdash; 2 days/week in London HQ</b></li><li><b>Everyday Flex</b> &mdash; greater flexibility over where and when you work</li><li><b>25 days annual leave</b> &mdash; plus extra days for years of service</li><li><b>Day off for volunteering &amp; Digital detox day</b></li><li><b>Festive Closure</b> &mdash; business closed between Christmas and New Year</li><li><b>Cycle to work and electric car schemes</b></li><li><b>Free Calm App membership</b></li><li><b>Enhanced Parental leave</b></li><li><b>Fertility Treatment Financial Support</b></li><li><b>Group Income Protection &amp; private medical</b></li><li><b>Gym on-site in London</b></li><li><b>7.5% pension contribution by company</b></li><li><b>Discretionary annual bonus up to 10%</b> &mdash; of base salary</li><li><b>Talent referral bonus up to &pound;5K</b></li></ul></div>

Data Science Lead

Infosys

<div><b>Skill </b>&ndash; Guidewire development<br>
<b>Location</b> &ndash; London, UK<br>
<b>Compensation</b> &ndash; Competitive (including bonus)<br>
<br>
<b>Role summary</b><br>
<br>
We are seeking an experienced <b>Guidewire Technical Lead</b> to drive the technical design, development, integration, and delivery of <b>Guidewire-based insurance transformation programs</b>. The role sits at the intersection of <b>Guidewire product expertise, insurance domain understanding, application design, integration architecture, and delivery leadership</b>.<br>
The role requires client co-ordination and deep functional or insurance (P&amp;C) industry expertise especially on Personal and/or commercial lines.
<br>
<br>
The ideal candidate will have strong hands-on experience in <b>Guidewire development</b>, <b>technical solution design</b>, <b>integration patterns</b>, and <b>Agile delivery</b>, with the ability to lead development teams and ensure scalable, high-quality implementation across <b>Guidewire XCenters</b><br>
<br>
<b>Must have Skills</b><ul><li><b>
Domain Expertise:</b><ul><li>
Good experience in Property and Casualty insurance domain</li></ul></li><li><b>
Technical Design &amp; Development Leadership</b><ul><li>
Lead the technical design and development of Guidewire solutions across PolicyCenter, BillingCenter, and ClaimCenter.
</li><li>Translate business and functional requirements into technical designs, component specifications, and implementation approaches.
</li><li>Drive development of configurations, customizations, rules, workflows, PCFs, integrations, and extensions in Guidewire.
</li><li>Ensure adherence to coding standards, design principles, reusability, and performance best practices.</li><li>
Review solution design and code to ensure alignment with project architecture and business needs.</li></ul></li><li><b>
Team Leadership &amp; Delivery Management</b><ul><li>
Lead and mentor a team of Guidewire developers and senior engineers across design, development, and defect resolution.
</li><li>Provide task estimation, sprint planning support, and technical oversight across Agile delivery cycles.</li><li>
Coordinate with business analysts, architects, QA teams, DevOps, and project managers to ensure smooth execution.
</li><li>Resolve technical blockers, production issues, and environment-specific challenges in a timely manner.
</li></ul></li><li><b>Guidewire Skills:</b><ul><li>
Strong functional &amp; Technical understanding of Guidewire Insurance Product Suite (On-Prem and Cloud)</li><li>
Guidewire Certified Resource &ndash; preferably ACE across modules</li><li>
Experience with policy, claim, and billing life cycles and transactions in Guidewire</li></ul></li><li><b>
Project Management:</b><ul><li>
Lead a GW technical Team</li><li>
Experience in development, execution and monitoring of project plans</li><li>
Experience in optimizing existing project plans and deliver project goals on time</li><li>
Working experience in implementation &amp; AMS programs
</li><li>Experience with defect triaging, estimation, stakeholder management, and application enhancements.</li><li>
Ability to lead Team and manage client stakeholders</li></ul></li><li><b>
Configuration Expertise: Hands-on experience with Guidewire xCenters (version 10.x &amp; cloud/SaaS) configuration including:</b><ul><li>
Workflows</li><li>
Data Model</li><li>
Rules</li><li>
Entity Creation/Modification</li><li>
Benefit Management</li><li>
PCFs customization</li><li>
Validations</li><li>
Widgets and their attributes</li><li>
Integration Mechanisms</li><li>
Guidewire Data Model</li></ul></li><li><b>
Customization &amp; Integration:</b><ul><li>
Sound knowledge of Guidewire xCenters (version 10.x &amp; Cloud/SaaS) customization and integration (Intra and Inter system integration) using REST and SOAP APIs</li></ul></li><li><b>
Technical Skills:</b><ul><li>
Experience with batch processes, Guidewire Messaging framework, and OOTB plugins</li><li>
Familiarity with Infra concepts and deployment architecture (WMB, WAS, and Apache)</li><li>
Strong knowledge on Software architecture and design in Guidewire Ecosystem</li></ul></li><li><b>
Data Analysis: </b>Ability to write SQL queries for data analysis.</li><li><b>
GW Cloud/SaaS Offerings : </b>Working Knowledge on GW Cloud/SaaS Offerings including GT Framework, Integration Gateway, Advance Product Designer (APD), Autopilot ,Underwriting Workbench and few others</li></ul><br>
<b>
Good to Have</b><b>
</b><ul><li>AI &amp; Automation Skills</li></ul><br>
<b>
Personal</b><br>
Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include:<br>
<ul><li>High analytical skills</li><li>A high degree of initiative and flexibility</li><li>High customer orientation</li><li>High quality awareness</li><li>Excellent verbal and written communication skills</li></ul><br>
<b>
About Infosys</b><br>
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation.<br>
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.</div>

Senior Guidewire developer/ technical lead - London

Talan

<div><b>Company Description</b><p><br>
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).</p><b><br>
Job Description</b><p><br>
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.</p><p>
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.</p><p>
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.</p><p><b>
Required skills &amp; experience:</b></p><ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul><p><b>
You must be:</b></p><ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul><p>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul><p><b>
Why join:</b></p><p>
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</p></div>

Lead Data Scientist (Classical ML, LLMs & AI Agents)

Brainlabs

<div><div><p>Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we were built by engineers before we were a media agency. Today, 1,000+ Brainlabbers across five continents use our proprietary agents, built on 32 media tools and over 2,500 logged experiments, to help brands connect every channel they plan and buy to one thing: the bottom line.</p></div><p>
As the Director, Data Science, you will lead Brainlabs' Marketing Mix Modelling capability, overseeing the deployment of Google Meridian and other advanced modelling projects for our clients. You are accountable for the technical rigour of our data science output and for translating complex statistical findings into clear, commercially actionable insight that clients can use to make better decisions with their media budgets. Working at the intersection of advanced analytics and senior client engagement, you will build our data science practice and establish Brainlabs as the agency partner that makes MMM work in practice, not just in theory.</p>
<h3 class="jobSectionHeader"><b>
What you do</b></h3>
<ul><li><b>Lead MMM Deployments: </b>You own the end-to-end delivery of Google Meridian and other MMM projects for clients, from initial scoping and data preparation through to model calibration, scenario planning, and insight presentation.</li>
<li><b>Develop and Deliver Modelling Projects: </b>You scope and lead a broader range of data science engagements beyond MMM, identifying where advanced modelling can solve real client problems and designing solutions that are technically sound and commercially relevant.</li>
<li><b>Translate Complexity Into Action: </b>You distil the outputs of complex statistical models into narratives that senior client stakeholders can understand and act on, connecting model findings directly to media budget decisions and business strategy.</li>
<li><b>Drive AI Adoption Across the Team: </b>You lead the integration of AI tools, including Claude, into the data science team's ways of working &mdash; from accelerating code development and model documentation to improving how technical outputs are packaged and communicated to clients.</li>
<li><b>Own Senior Client Relationships: </b>You are Brainlabs' senior data science point of contact for key clients, presenting findings and recommendations at CMO and VP level and building confidence in our analytical approach.</li>
<li><b>Build and Lead the Data Science Team: </b>You manage and develop a team of data scientists, setting technical standards, running structured development conversations, and ensuring the team's output meets the quality bar the practice needs.</li>
<li><b>Grow the Practice: </b>You drive the development of Brainlabs' data science proposition, contributing to new business pitches, publishing thought leadership, and building the processes that allow the practice to scale.</li>
</ul><h3 class="jobSectionHeader"><b>Who you are</b></h3>
<ul><li><b>An MMM Expert: </b>You have extensive, hands-on experience with Marketing Mix Modelling, including working knowledge of Meridian, Robyn, and/or PyMC, and a track record of delivering MMM projects that have driven real client decisions.</li>
<li><b>Technically Proficient: </b>You are fluent in Python and experienced with GCP, with a strong grounding in Bayesian statistics and the principles underpinning modern media attribution.</li>
<li><b>AI-Forward: </b>You actively explore how AI tools can augment data science practice, from speeding up code development and model documentation to helping non-technical stakeholders engage more confidently with complex outputs.</li>
<li><b>A Skilled Communicator of Complexity: </b>You can take the output of a sophisticated model and tell a story with it that a CMO finds compelling and a media team can act on, without sacrificing the integrity of the underlying analysis.</li>
<li><b>An Experienced Team Leader: </b>You have led teams of data scientists, with a genuine commitment to their development and a clear view of what good technical mentorship looks like.</li>
<li><b>Commercially Astute: </b>You understand how data science creates commercial value for clients and for Brainlabs, and connect technical decisions to business outcomes in conversations with senior stakeholders.</li>
<li><b>A Practitioner-Leader: </b>You remain close to the technical work, not just the management of it, and hold yourself to the same standard of rigour you expect from your team.</li>
</ul><h3 class="jobSectionHeader"><b>How you succeed</b></h3>
<ul><li><b>Client Outcomes: </b>Clients can point to specific budget decisions informed by your modelling work, and you can evidence the incremental value delivered through the projects you lead.</li>
<li><b>Model Quality: </b>Every MMM deployment you oversee meets a documented quality standard, with calibration, validation, and scenario outputs that you and your team can defend under scrutiny.</li>
<li><b>Clear Communication: </b>Your data science outputs land with senior client stakeholders, evidenced by positive feedback and by clients returning to Brainlabs for further analytical work.</li>
<li><b>AI Adoption: </b>You achieve documented AI adoption across the data science team's workflows, with clear evidence of time saved or quality improved as a result.</li>
<li><b>Team Development: </b>The data scientists in your team are growing in capability, and you can point to specific examples of how your leadership has raised their technical standards or broadened their skills.</li>
<li><b>Practice Growth: </b>You contribute to at least one new business pitch per quarter and publish thought leadership that builds Brainlabs' data science credentials in the market.</li>
<li><b>Commercial Impact: </b>The data science practice grows its revenue and client base under your leadership, and you can evidence progress against agreed commercial targets over time.</li>
</ul><div><p><b>
What happens next?</b></p>
<p>
We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.</p>
<p></p>
<p><i>Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!</i></p>
<p><i>
Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.</i></p></div></div>

Director, Data Science

Explore 699+ Data technical lead in London this July. Find roles across top companies and apply now to boost your career.