data engineer

data scientist

senior data scientist

data science manager

senior analytics engineer

data analytics specialist

Smart

<div><p>At Smart, our mission is to transform retirement, savings and financial wellbeing, across all generations, around the world.</p><p><b>
THE ROLE</b></p><p>
As part of the Data Analytics team, you will work closely with stakeholders to translate business challenges into data problems, delivering high-quality and clearly articulated analysis, reporting, and data-driven insights that support effective decision-making. We are a small team with big ambitions. We are building the foundations to enable our vision of maximising the value that our extensive dataset and modern data stack can generate for the business. Because we support the entire business, our data is varied and complex. As such, we are seeking a self-starter who is comfortable navigating ambiguity and independently finding solutions within a fast paced environment. If you match our ambitions, are passionate about creating value from data, and want to help drive the evolution of our data capabilities, then we would love to hear from you.</p><p><b><br>
What you will do:</b></p><p><b>
Stakeholder Partnership &amp; Communication</b></p><ul><li><p><b>
Define requirements</b>: Partner with stakeholders across the company to translate business questions into clear analytics requirements and identify the right data points.</p></li><li><p><b>
Data Translation &amp; Storytelling:</b> Explain analytical outputs and insights to stakeholders in clear, non-technical terms and, as required, build a narrative to support effective decision-making.</p></li><li><p><b>
Drive data literacy</b>: Support initiatives that enable stakeholders to self-serve data more effectively.</p></li></ul><p><b>
Analytics &amp; Business Intelligence</b></p><ul><li><p><b>
Build BI solutions: </b>Design, build, and maintain reports and dashboards (primarily using Tableau) used across the organisation, including Board-level KPI reporting.</p></li><li><p><b>
Data Analysis &amp; Insights: </b>Manipulate and analyse complex data to answer business questions and identify trends, insights, and opportunities.</p></li></ul><p><b>
Data Modeling &amp; Quality Assurance</b></p><ul><li><p><b>
Build robust data models: </b>Develop and maintain optimised and reliable solutions in our data warehouse (Redshift) using tools like dbt, collaborating closely with Data Engineering where required.</p></li><li><p><b>
Ensure trust &amp; accuracy: </b>Maintain data quality and reporting reliability, manage the impact of upstream changes, and support business-critical processes with direct regulatory or customer impact.</p></li><li><p><b>
Peer review: </b>Participate in code reviews and collaborative QA to validate the accuracy and value of our analytical output.</p></li></ul><p><b>
Continuous Improvement &amp; Team Culture</b></p><ul><li><p><b>
Automate &amp; optimise: </b>Identify opportunities to improve efficiency through automation, better data processes and the responsible use of AI.</p></li><li><p><b>
Be an active team player: </b>Contribute your ideas to team discussions, retrospectives, and future planning to continuously improve how we work together and support the business.</p></li></ul><p><b>
WHO WE ARE LOOKING FOR</b></p><p>
The skills, experience, and aptitudes we are looking for are listed below but please don&rsquo;t be discouraged from applying if you don&rsquo;t meet every single one of these criteria &ndash; having a &lsquo;can do&rsquo; attitude is sometimes more important than being able to tick every box:</p><p><b>
Experience &amp; Attributes</b></p><ul><li><p>
Proven track record: 3+ years of experience in data analysis, with a focus on data manipulation, reporting and insight analytics.</p></li><li><p>
Stakeholder partnership: A proven ability to work with stakeholders to deeply understand business problems, translate requirements into effective analytics solutions, and advise on best approaches.</p></li><li><p>
Data storytelling &amp; coaching: An effective technical communicator who can translate complex data for non-technical audiences and actively coach stakeholders to enhance overall data maturity.</p></li><li><p>
Analytical curiosity: Inquisitive by nature, with sharp attention to detail and a natural drive to look beyond the surface numbers to uncover actionable insights.</p></li><li><p>
Ambitious and agile learner: A fast, curious learner who is eager to independently explore and pick up new datasets, technologies and methodologies to innovate with purpose.</p></li><li><p>
Organised &amp; adaptable: Highly organised with the ability to manage multiple concurrent tasks.</p></li><li><p>
Collaborative team player: A reliable team player with a &quot;team-first&quot; mindset who thrives in a highly collaborative and supportive environment.</p></li><li><p>
Financial Services/Pensions experience (Desirable): Experience within financial services is desirable; exposure to the pensions industry is a plus.</p></li></ul><p><b>
Technical skills:</b></p><ul><li><p>
Advanced SQL (Essential): Extensive experience of writing, troubleshooting, and optimising complex queries.</p></li><li><p>
BI &amp; Data Visualisation (Essential - Tableau Preferred): Strong experience building impactful dashboards and reports in a modern BI tool, with a preference for Tableau.</p></li><li><p>
dbt (Desirable): Experience with dbt for data modeling, transformation, and managing the analytics layer.</p></li><li><p>
Python (Desirable): Experience using Python for data manipulation, advanced analytics or automation.</p></li><li><p>
Git / GitHub (Desirable): experience using version control for managing code, collaborating with others, and reviewing changes.</p></li></ul><p><b><br>
WHO WE ARE</b></p><p>
We work in partnerships with governments and financial institutions in the UK and internationally. Our cloud-native digital platform is revolutionising how people around the world think about, and save for, their retirement.</p><p>
At heart, we&rsquo;re a financial technology business. What we do is all about innovation, and using the power of digital change to put the customer first. Our Engineers will tell you that working at Smart gives you the opportunity to play your part in developing world-class technological solutions, working with &ndash; and learning from &ndash; like-minded people.</p><p>
You&rsquo;ll also find that, across our business, our colleagues love Smart&rsquo;s culture, and how what we do means better financial outcomes for savers. That feels worthwhile, and it means that what we do, collectively, goes way beyond the nine to five of a typical working day.</p><p>
Don&rsquo;t just take our word for it &ndash; you can see what our colleagues say about working at Smart on LinkedIn Life and Glassdoor.</p><p><b>
BENEFITS</b></p><p>
At Smart, one of the eight principles we work to is &ldquo;We want happy and good people in our team&rdquo;. We created a list of benefits that helps us achieve this goal:</p><ul><li><p>
25 days&rsquo; holiday per year, increasing with length of service.</p></li><li><p>
&pound;500 annual training budget to spend on your professional development.</p></li><li><p>
Extensive private healthcare, including dental, eyecare and EAP.</p></li><li><p>
Enhanced sick leave (three months&rsquo; pay per year).</p></li><li><p>
Enhanced maternity and paternity (maternity &ndash; 6 months fully paid/paternity &ndash; 3 weeks fully paid).</p></li><li><p>
Death in service insurance cover.</p></li><li><p>
Fully-paid five-week sabbatical after five years of employment.</p></li><li><p>
In office wellbeing, such as manicures, massages and barbers.</p></li><li><p>
Smart employees also enjoy a 50% discount on orders from our sister company Arena Flowers, Britain's most ethical florist. They offer unique hand-tied bouquets, luxury flowers, letterbox flowers, plants and gifts to spend on friends and loved ones or even for yourself.</p></li></ul><p>
At Smart, we are committed to creating an inclusive and equitable workplace where everyone feels valued, respected, and empowered to do their best work.</p><p>
We believe that diverse perspectives help us lead the way in transforming retirement, savings, and financial wellbeing. We welcome differences in background, experience, thinking, and identity, and we recognise that innovation is strongest when it is built on inclusion and fairness. We encourage applications from people of all backgrounds and experiences and do not discriminate on the basis of any protected characteristic.</p><p>
If you require any reasonable adjustments during the recruitment process or in the workplace, we encourage you to let us know - we are committed to supporting you.</p><p>
We think Smart is an awesome place to work. If it sounds like somewhere you&rsquo;d like to work, too, and if you&rsquo;re ready to play your part in our continued success in the future, then naturally we&rsquo;d love to meet you.</p></div><p></p>

Data Analyst

Capitex

<p></p><div><p><b>PROGRAMME CONTEXT</b></p><p>
</p><p>Capitex is sourcing specialist resource into the Data workstream of a live Fenergo (Fenx) CLM implementation. The programme is delivering client lifecycle management, KYC/CDD and onboarding capability for a regulated financial institution, with the Data workstream responsible for migrating and validating client, entity and due-diligence data into the Fenergo platform.</p><p>
This role provides hands-on data depth alongside the configuration and testing workstreams, ensuring migrated data is complete, accurate and fit to drive the configured rules, risk scoring and lifecycle journeys.</p><p>
</p><p><b>ROLE OVERVIEW</b></p><p>
</p><p>The Data Analyst owns source-to-target data mapping, migration and validation activity &mdash; translating legacy and golden-source client/entity data into the Fenergo data model and proving its integrity end-to-end. The role works closely with configuration/BA, testing and client-side data owners to deliver clean, reconciled, audit-ready data.</p><p>
</p><p><b>KEY RESPONSIBILITIES</b></p><p>
</p><ul><li>Define and document source-to-target data mapping from legacy systems and golden sources into the Fenergo CLM / entity data model.</li><li>Author data mapping specifications and transformation rules; maintain mapping documentation as requirements evolve.</li><li>Support and execute data migration (ETL) of client, entity, KYC/CDD and supporting document data into Fenergo.</li><li>Design and run data validation and reconciliation &mdash; pre- and post-migration &mdash; including exception handling and remediation.</li><li>Profile source data quality; identify gaps, duplicates and anomalies and drive resolution with data owners.</li><li>Ensure migrated data correctly supports configured risk rules, scoring and workflow triggers, liaising with the configuration workstream.</li><li>Produce data quality metrics, reconciliation evidence and audit-ready sign-off artefacts for stakeholders.</li></ul><p>
</p><p><b>ESSENTIAL EXPERIENCE</b></p><p>
</p><ul><li>Hands-on data migration / mapping experience on a Fenergo (CLM) implementation.</li><li>Strong source-to-target data mapping and ETL experience on enterprise platform migrations.</li><li>Advanced SQL; confident profiling, validating and reconciling large datasets.</li><li>KYC / CDD / AML data domain knowledge &mdash; client and entity data structures, risk and due-diligence attributes.</li><li>Demonstrable data validation, reconciliation and data-quality discipline on regulated programmes.</li></ul><p>
</p><p><b>DESIRABLE</b></p><p>
</p><ul><li>Banking / Corporate &amp; Institutional Banking or Private/Wealth experience.</li><li>Experience with golden-source / master-data and entity-resolution concepts.</li><li>Oracle / SQL Server, and ETL tooling (e.g. SSIS, DataStage or equivalent).</li><li>SC clearance (or eligibility).</li><li>Exposure to Fenergo rules / event-based messaging and the wider CLM ecosystem.</li></ul><p>
</p><p><b>TOOLS &amp; TECHNICAL ENVIRONMENT</b></p><p>
</p><p>Fenergo CLM, SQL (Oracle / SQL Server), ETL tooling, data profiling and reconciliation tools, JIRA / Confluence; Agile (Scrum / Kanban) delivery environment.</p></div>

Fenergo CLM Data Analyst / Migration Specialist

AML RightSource

<div><p><b>Job Description:</b></p><p>
AML RightSource is the leading expert solutions provider of managed services and advisory, dedicated exclusively to financial crime compliance. As financial crime continues to evolve, we help organizations stay ahead through expert-led services and deep industry knowledge.</p><p></p><p>
Specializing in anti-money laundering, financial crime prevention, and third-party compliance, we deliver tailored solutions that enhance operational efficiency and reduce business risk. With a global presence and a team of more than 7,000 specialized, trained professionals, AML RightSource partners closely with clients to transform their compliance programs into strategic advantages.</p><p></p><p>
Our focused expertise and partnership-driven approach ensure adaptable, scalable solutions that meet today&rsquo;s complex regulatory demands. We empower organizations to strengthen compliance, protect their businesses, and confidently navigate an ever-changing financial crime landscape.</p><p></p><p><b>
About the Position</b></p><p>
The Advisory team at AML RightSource is made up of a team of industry and subject matter specialists that provide advisory services specific to financial crime programs, policies, and technology to C-suite-level executives across the world. Our scope of services includes, but is not limited to, program transformation, gap analysis, model validations, policy redesign, system implementation, and model optimization. Our Advisory team aims to help clients build and optimize their financial crime compliance programs by leveraging a technology-enabled approach for some of the world's largest organizations.</p><p></p><p>
As an Associate Director &ndash; Data &amp; Analytics in our Advisory team you will primarily be responsible for leveraging your subject matter expertise and partnering with Financial Crimes Advisory leadership to successfully deliver projects/engagements for clients and execute strategic initiatives designed to grow the Advisory team. You will also oversee the work performed by junior Data &amp; Analytics resources to ensure quality and timely delivery of client deliverables.</p><p></p><p>
As a result, a successful candidate is an experienced professional with deep expertise in AML, Sanctions, and Fraud, inclusive of being knowledgeable about regulations, regulatory guidance and industry best practices in these subject matter areas. They must have had direct ownership of multi-workstream advisory engagements, including client-facing delivery, scope management, and executive-level communication. They must also be experienced in coaching more junior resources to successfully deliver on their responsibilities, all while fostering an inclusive and supportive environment. The ideal candidate will be proactive and able to work autonomously. In addition to client delivery, Associate Directors will be engaged in our sales and marketing efforts, including developing proposals. As a result, a successful candidate will possess strong communication and presentation skills, a strategic mindset, and the ability to collaborate effectively across teams. They should be comfortable engaging with clients and stakeholders, identifying business opportunities, and contributing to the growth of the firm through thought leadership.</p><p></p><p><b>
Primary Responsibilities</b></p><p><i>
Engagement Delivery</i></p><ul><li>
Successfully lead or participate in multiple, sometimes simultaneous, AML, Sanctions and fraud (collectively &quot;financial crimes&quot;) engagements being delivered across the three lines of defense. Projects include but not limited to those focused on model validations, model tunings, data lineage reviews, lookbacks, risk assessments, methodology and procedure review and development, training development and delivery, system implementations, and coverage assessments.</li><li>
On smaller engagements, effectively serve as the lead point of contact (i.e., engagement leader) for engagement teams and clients, providing day-to-day direction to engagement teams and coaching/mentoring to team members.</li><li>
Evaluates the extent to which clients&rsquo; financial crimes models adhere to regulations and guidelines, as well as industry best practices, and provide value added insights and practical recommendations to clients.</li><li>
Prepare reports and written documents utilizing Microsoft Word, PowerPoint, Excel, writing in a clear, concise and articulate manner.</li><li>
Provide guidance and oversight to junior team members, reviewing their work and offering constructive feedback to support skill development and enhance overall quality.</li><li>
Utilize effective project management practices to ensure deliverables meet client expectations, while the project stays within agreed budgets and timelines.</li><li>
Effectively identify, escalate and manage risks and issues as they arise during engagements. Serve as an escalation point for more junior team members.</li><li>
Actively participate in or lead, where necessary, key client meetings.</li><li>
During the course of engagements, identify opportunities for additional work to be delivered to existing clients.</li></ul><p><i><br>
Sales and Go-To-Market</i></p><ul><li>
Take a leading role in contract preparation and budgeting. Support other sales related efforts.</li><li>
Stay up to date on emerging regulatory requirements and guidance, as well as industry trends such as AI and Machine Learning use cases and applications.</li><li>
Develop, maintain and nurture an internal and external network of advisory services buyers.</li></ul><p><i><br>
Internal Initiatives and People Leadership</i></p><ul><li>
Lead by example and provide leadership to ensure that the mission, core values and strategy of the company are put into practice.</li><li>
Demonstrate support in advancing company revenue and profitability objectives.</li><li>
Assist leadership with the execution of an effective growth strategy for the Advisory business.</li><li>
Train, mentor and develop Advisory Data &amp; Analytics team members.</li><li>
Provide balanced, periodic performance reviews to team members.</li><li>
Serve as a People Leader to junior team members.</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
Bachelor's degree preferred in Mathematics, Statistics, Information System Management, and Data Science (or equivalent). If not available, equivalent years of relevant AML/Sanctions/Fraud experience are required. Relevant experience includes time spent providing financial crimes data analytics focused consulting advice to the financial services industry or equivalent time in a financial crime data analytics focused industry role</li><li>
A minimum of nine (9) years of relevant AML/Sanctions/Fraud experience working in industry or at professional services / management consulting firms in an advisory consulting role</li><li>
A minimum of five (5) years in a managerial or leadership role, managing and directing junior resources</li><li>
Deep model validation and tuning experience with a wide variety of systems (Verafin, Actimize, SAS, etc.)</li><li>
A minimum of eight (8) years&rsquo; experience using Microsoft SQL and/or other relational databases</li><li>
A minimum of six (6) years of SQL and Python experience (or another scripting language for data wrangling/ cleaning)</li><li>
Strong analytical and quantitative skills to be able to explain a story based on data analytics (trend analysis, A/B Testing, reconciliation, Regression Models, etc.)</li><li>
A strong project management professional able to lead a small project team and deliver project deliverables accurately and on time. Highly accountable with a strong sense of ownership over deliverables, timelines, and outcomes and able to work on multiple projects simultaneously</li><li>
Robust understanding of anti-financial crime program concepts, including rules and regulations, as well as regulatory and industry trends, as well as the vendor solutions utilized to fight financial crime</li><li>
Ability to interact seamlessly with financial crimes program leaders and senior executives</li><li>
Strong problem solving and analytical skills</li><li>
Excellent interpersonal skills. Ability to communicate succinctly and clearly in writing and verbally</li><li>
Demonstrated ability to work independently with minimal supervision; a strong self-starter who takes initiative</li><li>
Proactive in identifying opportunities, solving problems, and driving tasks forward</li><li>
Highly proficient in Microsoft Office, with a focus on Word, Excel and Powerpoint</li><li>
Experience working with diverse teams, collaborating seamlessly across Data and Advisory teams</li><li>
Ability to travel as needed</li><li>
Must be able to work in the UK without sponsorship now or in the future</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience implementing, reviewing and validating AI and Machine Learning capabilities and models</li><li>
CAMS, CFE, ICA or similar certification</li><li>
Experience and/or knowledge in: (i) non-traditional financial services organizations (e.g., payments, fintech, crypto, etc.); and (ii) understanding and/or knowledge of North American, European and Asia Pacific financial crimes laws and regulations</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
AML RightSource is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We provide equal employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
</b></h2><p></p><p><b>Recruitment Scam Alerts</b></p><p><b>
We&rsquo;re aware of an increase in recruitment scams where individuals falsely claim to represent AML RightSource. These scammers may ask for money or personal information by offering fake job opportunities through e-mail, text message or social media. Please verify the source of any job-related communications carefully. All official AML RightSource communications are conducted through &quot;@amlrightsource.com&quot; email addresses. If you encounter suspicious messages, do not respond.</b></p></div>

Associate Director Data & Analytics (FCA) - Remote, UK

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:
 <strong>
  C3 AI
  <br/>
  <br/>
 </strong>
 As a member of the
 <strong>
  C3 AI Data Science team
 </strong>
 , 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Some travel to customer and partner locations should be expected.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  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.
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
  <br/>
  <br/>
 </strong>
 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

Capital One

<div>White Collar Factory (95009), United Kingdom, London, London<p></p>
Data Scientist / Deep Learning Practitioner<p></p><p><b>
Job Title: </b>Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level</p><p><b><br>
Location:</b><b> </b>London or Nottingham</p><p></p><p><b>
Working Pattern:</b><b> </b>3 days in-office (Tuesday-Thursday) and 2 days remote.</p><p></p><p><b>
Our Mission</b></p><p></p><p>
We&rsquo;re on a mission to be a force for good in lending. Throughout our almost 30-year history, we&rsquo;ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK&rsquo;s Best Workplaces&trade; list. Hear from our team about what it&rsquo;s like working at Capital One UK.</p><p></p><p><b>
About the Role</b></p><p>
Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners.<br>
This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models.</p><p></p><p><b>
What you&rsquo;ll do</b></p><ul><li><p>
Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business.</p></li><li><p>
Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation.</p></li><li><p>
Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates.</p></li><li><p>
Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.</p></li><li><p>
Work cross-functionally on projects that support key business initiatives and drive sustainable growth.</p></li></ul><p></p><p><b>
The skills and experience you'll need</b></p><ul><li><p>
Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.</p></li><li><p>
Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.</p></li><li><p>
Familiarity with both pre-training and fine-tuning of large-scale models</p></li><li><p>
Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.</p></li><li><p>
A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.</p></li><li><p>
Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.</p></li><li><p>
Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.</p></li><li><p>
A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.</p></li></ul><p></p><p><b>
Where and how you'll work</b></p><p>
This is a permanent position based in our Nottingham OR London office.</p><p>
We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days.</p><p>
Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.</p><p></p><p><b>
What&rsquo;s in it for you</b></p><p>
We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to &pound;5,000 in funding for external qualifications.</p><p>
In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career:</p><ul><li><p>
Wealth &amp; Future: Competitive pension and performance-based bonus schemes</p></li><li><p>
Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.</p></li><li><p>
Health: Access premium care through our private medical insurance.</p></li><li><p>
Family Support: We champion your milestones with enhanced parental leave.</p></li></ul><p></p><p>
A full list of our benefits is available here.</p><p></p><p><b>
What you should know about how we recruit</b></p><p>
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it&rsquo;s about what you do, not just what you say. That&rsquo;s why we make our recruitment process fair and accessible.</p><p>
We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture&mdash;one that values diverse perspectives, fosters collaboration and encourages innovative ideas&mdash;and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.</p><p>
Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates.</p><p></p>
Capital One is committed to diversity in the workplace.<p></p><p>
If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.</p><p></p><div><div><div><div><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div></div></div></div><b><br>
Who We Are</b><br>
<br>
At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.<br>
<br>
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.</div>

Data Scientist / Deep Learning Practitioner

Goldman Sachs

<div><div><div><div><p>Join our Alternatives Data Science team and contribute to DSML and AI initiatives across the full lifecycle of the investment process. The Data Scientist will be responsible for the design, development, and implementation of data- and AI-driven models to drive innovation and productivity for origination, due diligence, and investment performance. The data science team sits alongside the Goldman Sachs Deal Teams and works closely with the Goldman Sachs Value Accelerator and portfolio company management teams.</p><br>
<p></p><p>Key Responsibilities:</p>
<ul><li>Leverage sophisticated statistical, mathematical, and programming skills to analyse complex datasets, support the investment processes, and drive quantifiable commercial value</li>
<li>Partner with Deal Teams to identify high-value commercial problems and translate them into well-scope technical solutions</li>
<li>Own the end-to-end delivery of prototypes through an investment lens &mdash; from framing the commercial problem and sourcing alternative datasets, to exploring the data and building the underlying model or pipeline that powers the solution</li>
<li>Partner strategically with portfolio company management teams to drive data and AI initiatives for value creation</li>
<li>Partner with GS Engineering to lead development and implementation of data-centric and AI tools, enhancing our investment processes and supporting our deal and fundraising teams</li>
<li>Stay up-to-date with the latest developments in AI, ML, and related fields to continuously improve the division's data and AI capabilities</li><br>
</ul><p></p><p>Qualifications, experience, and attributes:</p>
<ul><li>MSc or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field</li>
<li>2+ years of relevant experience applying quantitative methods to commercial problems with measurable impact</li>
<li>Strong programming skills (Python, SQL) and experience using the basic data science libraries (e.g. pandas, scikit-learn) and comfort writing clean, modular code beyond notebooks</li>
<li>High-level of proficiency in mathematics, statistics, and data science theory</li>
<li>Proven experience implementing sophisticated data science techniques, handling large datasets, translating data into actionable business insights. Experience with alternative data is advantageous</li>
<li>Commercial experience with a strong track record of quantitative problem solving and realised commercial impact</li>
<li>Excellent written and verbal communication and collaboration skills with a strong growth mindset</li>
</ul><p>Highly valued:</p>
<ul><li>Hands-on experience building with modern AI tooling, including LLMs, prompt engineering, RAG pipelines, embeddings, vector databases, and at least one agent or orchestration framework (e.g., LangChain, LlamaIndex, LangGraph)</li>
<li>Experience with cloud platforms (AWS, Azure, GCP) and basic familiarity with Docker, APIs, and lightweight web frameworks (FastAPI, Streamlit) for shipping prototypes</li>
<li>Exposure to private equity, investment banking, consulting, or operating roles in portfolio companies</li>
<li>Experience working in embedded or client-facing delivery models (consulting, forward deployed, solutions engineering) supporting data-informed decision making</li>
<li>Familiarity with LLM evaluation frameworks and responsible AI practices</li>
<li>Adept at designing high-performance schemas and feature stores within modern cloud data platforms (e.g., Databricks<b>, </b>Snowflake); specialized in transforming complex, unstructured datasets into structured, optimized formats engineered specifically to train and scale predictive models.</li>
</ul><div><div>ABOUT GOLDMAN SACHS</div><br>
<div></div><br>
<div>At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.</div><br>
<div></div><br>
<div>We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.</div><br>
<div></div><br>
<div>We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html</div><br>
<div></div><br>
<br>
<div>&copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.</div>
<div>Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.</div><br>
</div></div></div></div><p></p><div><div><div>We Offer Best-In-Class Benefits
</div></div><div></div><div><div><div><div><div><div>Healthcare &amp; Medical Insurance
</div><div>We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.</div>
</div></div></div></div><div></div><div><div><div><div><div>Holiday &amp; Vacation Policies
</div><div>We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.</div>
</div></div></div></div><div></div><div><div><div><div><div>Financial Wellness &amp; Retirement
</div><div>We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees&rsquo; priorities.</div>
</div></div></div></div><div></div><div><div><div><div><div>Health Services
</div><div>We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.</div>
</div></div></div></div><div></div><div><div><div><div><div>Fitness
</div><div>To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).</div>
</div></div></div></div><div></div><div><div><div><div><div>Child Care &amp; Family Care
</div><div>We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.</div>
</div></div></div></div><div></div><div><div><div><div><div>Benefits at Goldman Sachs
</div><div>Read more about the full suite of class-leading benefits our firm has to offer.</div></div></div></div></div></div></div></div><div></div>
<br><div>Opportunity Overview
<div></div><div><div><div>CORPORATE TITLEAssociate
</div></div><div></div><div><div>OFFICE LOCATION(S)London
</div></div><div></div><div><div>JOB FUNCTIONData Engineering
</div></div><div></div><div><div>DIVISIONAsset &amp; Wealth Management</div></div></div></div><p></p>

Asset & Wealth Management - Data Scientist - Associate - London

Inizio Evoke

<div><p><b>Insights &amp; Analytics Manager &ndash; Inizio Evoke Comms Europe</b></p>
<p><b>
London/ Dublin</b></p><br>
<p></p>
<p>
Are you naturally curious about people, data and what drives behaviour? Do you love uncovering insights that shape strategy, influence decisions and tell compelling stories? Are you excited by the possibilities of AI, analytics and emerging technologies in healthcare communications?</p>
<p>
If so, we'd love to hear from you.</p><br>
<p></p>
<p><b>
So, what's the job?</b></p>
<p>
We're looking for an <b>Insights &amp; Analytics Manager</b> to join our growing team at <b>Inizio Evoke Comms Europe</b>.</p>
<p>
This is an exciting opportunity for someone with experience in analytics, insights, research or digital measurement who wants to play a central role in helping some of the world's leading healthcare companies make smarter, more informed decisions.</p>
<p>
As part of our specialist Insights &amp; Analytics team, you'll work across a diverse portfolio of healthcare and pharmaceutical clients, transforming complex data into meaningful insights that influence communications strategies, campaigns and business decisions. From social listening and stakeholder analysis to digital performance measurement and market intelligence, you'll help uncover the stories behind the data and bring them to life through clear, actionable recommendations.</p><br>
<p></p>
<p>
You'll partner closely with communications, strategy and client services teams to ensure insights are embedded throughout the planning, execution and evaluation of client programmes. You'll also have the opportunity to explore innovative approaches and emerging technologies, including AI-powered research and analytics tools, helping us continuously evolve our capabilities.</p>
<p>
This highly valued role is perfect for someone who enjoys combining analytical rigour with creative thinking, working directly with clients and helping shape the future of data-driven healthcare communications.</p>
<p>
Whatever you're doing, your career will be our top priority. When you join, you'll receive a personalised development plan and support from senior leaders who are invested in helping you grow and achieve your career ambitions.</p><br>
<p></p>
<p><b>
What will you be doing?</b></p>
<p>
As an Insights &amp; Analytics Manager, you will:</p>
<ul>
<li>Lead and manage multiple client analytics projects from inception to delivery</li>
<li>Design and implement research methodologies that answer complex client questions</li>
<li>Analyse and interpret social listening, stakeholder, digital and website performance data</li>
<li>Transform data into compelling stories, insights and recommendations that drive action</li>
<li>Present findings and strategic recommendations to clients and internal teams</li>
<li>Partner with account teams to develop data-driven communications strategies and measurement frameworks</li>
<li>Manage project scopes, timelines, budgets and deliverables with minimal supervision</li>
<li>Stay at the forefront of industry trends, analytics technologies and AI-powered tools</li>
<li>Contribute to new business opportunities through research, insights and pitch support</li>
<li>Support and mentor junior team members, helping to develop team capabilities and best practices</li>
<li>Drive innovation and continuous improvement within the Insights &amp; Analytics function</li></ul><br>
<p></p>
<p><b>
Are you right for the job?</b></p>
<p>
If you...</p>
<ul>
<li>Have a passion for turning data into meaningful insights and actionable recommendations</li>
<li>Enjoy solving complex problems and uncovering the &quot;why&quot; behind audience behaviour</li>
<li>Thrive in a collaborative environment where curiosity, innovation and fresh thinking are encouraged</li>
<li>Are confident communicating data and insights to both technical and non-technical audiences</li>
<li>Can manage multiple priorities while maintaining exceptional attention to detail</li>
<li>Enjoy working directly with clients and building trusted relationships</li>
<li>Want to help shape the future of analytics within healthcare communications</li>
</ul>
<p>...then a career at Inizio Evoke Comms could be for you.</p><br>
<p></p>
<p><b>
What are we looking for?</b></p>
<p><b>
Essential</b></p>
<ul>
<li>Bachelor's degree in Analytics, Marketing, Communications, Business, Data Science or a related discipline</li>
<li>Approximately 4&ndash;6 years' experience in analytics, insights, research or a data-focused role</li>
<li>Experience using social listening and audience intelligence platforms such as Brandwatch, Meltwater, Sprinklr, Hootsuite or similar tools</li>
<li>Familiarity with AI tools such as Claude, Codex or similar platforms</li>
<li>Experience with Boolean search methodologies and advanced research techniques</li>
<li>Strong understanding of digital analytics and website performance metrics, including Google Analytics or equivalent platforms</li>
<li>Experience designing and conducting research projects using a range of qualitative and quantitative methodologies</li>
<li>Excellent presentation, storytelling and communication skills</li>
<li>Proven ability to manage multiple projects simultaneously and deliver to deadlines</li>
<li>Strong stakeholder management skills with the confidence to work directly with clients</li>
<li>Experience translating complex datasets into clear business recommendations</li>
<li>Strong attention to detail and commitment to delivering high-quality work</li></ul><br>
<p></p>
<p><b>
Desirable</b></p>
<ul>
<li>Experience working within healthcare communications, healthcare marketing or pharmaceutical environments</li>
<li>Knowledge of SEO, digital measurement and benchmarking tools such as SEMrush</li>
<li>Experience with coding, scripting, APIs or data visualisation tools</li>
<li>Google Analytics 4 (GA4) or other relevant analytics certifications</li></ul><br>
<p></p>
<p><b>
What is important to us?</b></p>
<p>
At <b>Inizio Evoke Comms</b>, we are driven by curiosity, creativity and expertise to craft compelling stories that make health more human. Our values guide us every day: <b>We Excel, We Empower, We Explore, We Energise.</b></p>
<p>
#LI-GK</p>
<p>
Trust and accountability underpin everything we do and we strive to create a supportive, progressive culture where our people can thrive and lead happier, healthier lives at work.</p>
<p>
Diversity and inclusion are central to our success. We continuously review our practices to ensure they are equitable and inclusive, enabling us to deliver smarter, more creative solutions for clients.</p>
<p>
We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.</p><p></p><div><p><i><br>
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.</i></p></div></div>

Digital Insights & Analytics Manager

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