data engineer

data scientist

machine learning engineer

senior data scientist

analytics engineer

predictive modeler

Data Idols

<div><h2 class="jobSectionHeader"><b>Senior Data Scientist</b></h2>
<h3 class="jobSectionHeader"><b>Salary: &pound;85K &ndash; &pound;95K</b></h3>
<h3 class="jobSectionHeader"><b>Location:</b><b> London (Hybrid &ndash; 3 days per week)</b></h3>
<p>
Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.</p>
<p>
Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they&rsquo;re now looking for a Senior Data Scientist to own one of the most important parts of the company.</p>
<h3 class="jobSectionHeader"><b>
The Opportunity</b></h3>
<p>
This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.</p>
<p>
You&rsquo;ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you&rsquo;ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.</p>
<p>
You&rsquo;ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.</p>
<p>
Working alongside highly experienced founders and recognised experts in machine learning, you&rsquo;ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.</p>
<p>
This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.</p>
<h3 class="jobSectionHeader"><b>
Skills &amp; Experience</b></h3>
<ul><li>Strong commercial experience building machine learning models in Python</li>
<li>Excellent understanding of predictive modelling, classification or propensity modelling</li>
<li>Experience with feature engineering, model evaluation and experimentation</li>
<li>Comfortable working across the full machine learning lifecycle</li>
<li>Experience working with cloud platforms and modern ML tooling</li>
<li>Curious and analytical mindset</li>
</ul>
<p>If you&rsquo;re looking for a role where you&rsquo;ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we&rsquo;d love to hear from you.</p>
<h2 class="jobSectionHeader"><b>
Senior Data Scientist</b></h2></div><div></div>

Senior Data Scientist

Hiscox

<div>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Permanent
 <br/>
 <br/>
 <strong>
  Build a brilliant future with Hiscox
  <br/>
  <br/>
 </strong>
 <strong>
  Position: Senior Data Scientist
  <br/>
  <br/>
 </strong>
 <strong>
  Reporting to:
 </strong>
 Lead Data Scientist
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 London
 <br/>
 <br/>
 <strong>
  Type:
 </strong>
 Permanent
 <br/>
 <br/>
 As a Senior Data Scientist at Hiscox, you will take on a high-impact role, acting as a critical thinker and problem solver for the business. You&rsquo;ll apply your core technical skills and innovative thinking to tackle complex challenges, identify opportunities, and help shape data-driven decision-making across the London Market.
 <br/>
 <br/>
 You&rsquo;ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox&rsquo;s data culture and enabling evidence-based decisions in a fast-paced, evolving environment. Communicating the business value of your analytical solutions to stakeholders will be a key part of your role.
 <br/>
 <br/>
 You&rsquo;ll be part of an award-winning team, recognised for its pioneering collaboration with Google to deliver the market&rsquo;s first AI-enhanced lead underwriting solution. This achievement reflects the team&rsquo;s commitment to innovation, impact, and excellence in applying data science to real-world insurance challenges.
 <br/>
 <br/>
 As a Data Scientist, you&rsquo;ll work within a wider technical team whose efforts span multiple business functions, bringing a multi-disciplinary approach to problem solving and analysis.
 <br/>
 <br/>
 This is an ideal role for someone who is passionate about using analytics to influence decisions and is keen to continue learning and delivering value through data. You&rsquo;ll be expected to conceptualise new approaches, communicate your vision clearly to stakeholders, and see ideas through to implementation.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Leveraging industry standards, past experience, emerging methodologies and empirical research to develop critical inputs to business information and helping business leaders develop innovative approaches to driving their business.
  </li>
  <li>
   Working on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working with large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights
  </li>
  <li>
   Work collaboratively with data scientists, data engineers and other technical people including pricing and underwriting teams in order to help support maturation of analytics practice within the organisation.
  </li>
  <li>
   Work closely with other members of the data and analytics community at Hiscox, contributing to delivering value though the use of a range of analytics techniques.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Person Specification
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Degree in a STEM or closely related field or equivalent experience. A further degree is a plus.
  </li>
  <li>
   Deep data science experience with a history of influencing decisions and delivering solutions that create tangible business value.
  </li>
  <li>
   Experience of data science in finance or insurance is an advantage but not required.
  </li>
  <li>
   Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task.
  </li>
  <li>
   Familiarity with version control, agile working and other IT delivery tools is required
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience.
  </li>
  <li>
   Experience with analytical tools / programming languages and databases (for example: Python, R, SQL).
  </li>
  <li>
   Experience with large language models and prompting, GCP experience is a plus.
  </li>
  <li>
   Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.
  </li>
  <li>
   A particular interest in natural language processing or machine vision.
  </li>
  <li>
   A strong grasp of foundational statistics is essential.
  </li>
  <li>
   Experience working both in small teams and independently on analytics projects.
  </li>
  <li>
   Strong verbal and written communications skills and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal stakeholders.
  </li>
  <li>
   Willingness to learn best practice in software development.
  </li>
  <li>
   Knowledge of insurance is an advantage but not essential.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Apply now for further information
  <br/>
  <br/>
 </strong>
 <em>
  Work with amazing people and be part of a unique culture
 </em>
</div>


<p></p><div><div><div>Job ID: R0056420</div>
</div><p></p><div><div><div><div><div>Location</div>
<div>London, Middlesex</div>
</div></div></div><div></div><div><div><div><div>Hours/week</div>
<div>37.5 hrs/week</div>
</div></div></div><div></div><div><div><div><div>Payrate range</div>
<div>Unknown</div>
</div></div></div></div><p></p><div><div><p>We don&rsquo;t just believe in better. We make it happen.</p>
<p>Better content. Better products. And better careers.</p>
<p>Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky.</p>
<p></p><p><b>Role overview</b><br>
<br>
</p><p>We are looking for a highly skilled and motivated <b>Data Scientist</b> to join our team. You will play a crucial part in leveraging machine learning and advanced analytics to drive actionable insights and innovation to combine piracy.</p>
 <p>As a Data Scientist, you will work closely with other data scientists, engineers, and business stakeholders to develop and optimise predictive models, harnessing complex datasets in a cloud-based environment. Your expertise in machine learning, statistical analysis, and AI will help shape data-driven decision-making across the organisation. This is an exciting opportunity to work at the forefront of data science, contributing to cutting-edge projects that have a real impact.</p><br>
<br>
<b>What </b><b>you&rsquo;ll</b><b> do</b>
<ul><li><p>Develops advanced analytics methods such as predictive modelling, time series forecasting, text mining, clustering algorithms etc., using appropriate tools and technologies (Python/R/SAS)</p>
</li><li><p>Analyses large amounts of information to discover trends and patterns in complex datasets.</p>
</li><li><p>Designs experiments and build models that can help improve customer experience or optimise operational efficiency.</p>
</li><li><p>Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions.</p>
</li><li><p>Creates visualisations of results using Tableau or other software packages.</p>
</li><li><p>Monitors performance of models over time by tracking key metrics.</p>
</li><li><p>Present findings in a clear manner using reports or presentations.</p>
</li></ul><p></p><p><b>What </b><b>you&rsquo;ll</b><b> bring</b></p>
<p></p><p><b>Essential Criteria</b></p>
<ul><li><p><b>Hands on experience in</b><b> building ML models</b>, preferably NLP and computer vision.</p>
</li></ul><ul><li><p><b>Experience in Python, SQL</b>, and common data science libraries (Pandas, Scikit-Learn, TensorFlow etc).</p>
</li></ul><ul><li><p><b>Experience with big data pipelines and platforms </b>like BigQuery.</p>
</li></ul><ul><li><p>Strong statistics, algorithms, and data modelling knowledge.</p>
</li></ul><ul><li><p>Ability to derive actionable insights from analysis.</p>
</li></ul><ul><li><p>Excellent communication skills, analytical mindset, ethics and bias awareness.</p>
</li></ul><p></p><p><b>Benefits and </b><b>perks</b><br>
<br>
</p><p>There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here&rsquo;s a taster:</p>
<ul><li><p>Free Sky TV or NOW package, including Sky Sports and Sky Cinema</p>
</li></ul><ul><li><p>Pension package with up to 9% employer contribution</p>
</li></ul><ul><li><p>Private healthcare with mental health support</p>
</li></ul><ul><li><p>Aviva Digital GP and dental insurance</p>
</li></ul><ul><li><p>Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect</p>
</li></ul><ul><li><p>Sharesave and Tech schemes</p>
</li></ul><ul><li><p>A range of Sky VIP rewards and experiences</p><br>
</li></ul><p></p><p><b>How </b><b>you&rsquo;ll</b><b> work</b></p>
<p>We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week.</p><p><br>
</p><p><b>Your office base</b></p>
<p><b>Osterley</b><br>
<br>
</p><p>Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there&rsquo;s plenty of space to see your big ideas come to life. Here you&rsquo;ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon.</p>
<p>Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there&rsquo;s free onsite parking available for cars, motorbikes and bicycles.</p>
<p></p><p><b>Who we are</b></p>
<p>We&rsquo;re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you&rsquo;ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society.</p><br>
<p></p><p>We&rsquo;re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can.</p><br>
<p></p><p><i>Just so you know: if your application is successful, </i><i>we&rsquo;ll</i><i> ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.</i></p>
<p></p><p><i>To be eligible for this role you </i><i>are required to</i><i> have the </i><i>appropriate right</i><i> to work in the UK. Please be aware Sky does not offer sponsorship for this position.</i></p>
<p></p><p>To find out more about working with us, search <b>#LifeAtSky</b> on social media.</p></div></div></div><p></p>

Data Scientist (Mid-level)

<div>
 <p>
  <strong>
   About CRU:
  </strong>
 </p>
 <p>
  CRU International is a leading provider of business intelligence and consulting services in the metals, mining, and fertilizer industries. With over 50 years of experience, we offer valuable insights and analysis that help our clients make informed decisions in an ever-changing global market.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role:
  </strong>
 </p>
 <p>
  CRU Group is seeking a technically strong, hands-on Senior Data Scientist to join a global team focused on building real-world data science and AI solutions for Risk &amp; Trading workflows. This role will span predictive modelling, machine learning, and modern AI systems powered by large language models.
 </p>
 <p>
  This is an opportunity to own projects end-to-end, from problem framing through to production delivery, working closely with stakeholders, engineers, and technology teams to deliver scalable, product-grade solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI.
  </li>
  <li>
   Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies.
  </li>
  <li>
   Develop robust, scalable, production-grade Python code.
  </li>
  <li>
   Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes.
  </li>
  <li>
   Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration.
  </li>
  <li>
   Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions.
  </li>
  <li>
   Mentor team members and contribute to raising standards for technical execution and delivery discipline.
  </li>
  <li>
   Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practical opportunities to apply these technologies within risk and trading services.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar.
  </li>
  <li>
   Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills &amp; Experience:
  </strong>
 </p>
 <ul>
  <li>
   3&ndash;5+ years of experience in data science, machine learning, econometrics, or a related technical field.
  </li>
  <li>
   Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring.
  </li>
  <li>
   Strong exposure to time-series forecasting or commodity data.
  </li>
  <li>
   Creative thinker with a robust approach to data and modelling.
  </li>
  <li>
   Hands-on experience working with machine learning and LLMs.
  </li>
  <li>
   Hands-on experience building AI applications beyond simple chatbot interfaces.
  </li>
  <li>
   Goal-oriented, with a high level of energy and enthusiasm; able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment.
  </li>
  <li>
   Analytical mindset with the ability to quickly understand the intricacies and complexities of commodity data.
  </li>
  <li>
   Creative application of first principles to problems, with an awareness of business time constraints.
  </li>
  <li>
   Approachable, positive, and collaborative, with a genuine interest in developing the team to be the best in the industry.
  </li>
  <li>
   Lead by example in work ethic and commitment to exceeding client expectations.
  </li>
  <li>
   Strong commitment to sharing knowledge and ideas in a constructive and supportive way, with the ability to mentor more junior talent.
  </li>
  <li>
   Delivery-focused, with a passion for quality and innovation, and a flexible, adaptable attitude willing to accept and drive change.
  </li>
  <li>
   Familiarity with Snowflake, AWS, and GCP, or equivalent cloud infrastructure.
  </li>
  <li>
   Strong understanding of modern machine learning workflows and production deployment considerations, including orchestration tools.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer:
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary and flexible benefits package.
  </li>
  <li>
   Opportunities for professional growth and development as part of a global company.
  </li>
  <li>
   A collaborative and supportive work environment.
  </li>
  <li>
   The chance to work with industry-leading experts and over a diverse range of topics and projects
  </li>
 </ul>
</div>


Senior Data Scientist - GenAI & ML

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>About the Job you are considering:</b></h2>
</div><div><p>This role focuses on SAS-based model development, enhancement, validation, and deployment across pricing, risk, and predictive modelling domains. You will work on building end-to-end statistical models, developing robust SAS code, preparing high‑quality documentation, conducting model testing, and supporting productionisation activities. The role requires strong analytical abilities, SAS programming expertise, and hands-on experience throughout the Model Development Lifecycle (MDLC).</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Hybrid working:
</b></h2></div><div><p>The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role:</b></h2><br>
</div><p></p><div><ul><li>Develop and enhance predictive, pricing, and statistical models using SAS.</li>
<li>Build modelling datasets and perform feature engineering.</li>
<li>Implement model logic, scoring code, and segmentation rules.</li>
<li>Write efficient SAS programs for modelling and analysis.</li>
<li>Perform model testing, backtesting, and validation checks.</li>
<li>Analyse large datasets to generate insights and recommendations.</li>
<li>Convert prototype models into production-ready SAS code.</li>
<li>Collaborate with IT/Data Engineering for model deployment and monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Your Skills:</b></h2>
</div><div><ul><li>5&ndash;10 years of strong SAS programming experience.</li>
<li>Expertise in Base SAS, SAS Macros, Data Step, and SAS SQL.</li>
<li>Experience with SAS EG or SAS Studio.</li>
<li>Strong understanding of regression, forecasting, and segmentation models.</li>
<li>Hands-on experience in the full model development lifecycle (MDLC).</li>
<li>Strong data extraction, cleansing, and feature engineering capability.</li>
<li>Ability to work with large datasets and complex workflows.</li>
<li>Strong analytical, documentation, and problem‑solving skills.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>We are a Disability Confident Employer:</b></h2>
</div><div><p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme.<i> </i>As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</p>
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul><p>Please opt in during the application process.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Make It Real (what does it mean for you):</b></h2>
</div><div><ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.
<br>
To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Why you should consider Capgemini:</b></h2>
</div><div><p>Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>About Capgemini:</b></h2>
</div><div><p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
<br>
Make it real | www.capgemini.com</p></div></div></div></div></div></div></div>

SAS Engineer - London, Uk - Hybrid - Fulltime

hyperexponential

<div>
 <strong>
  About Hyperexponential (hx)
  <br/>
  <br/>
 </strong>
 At hyperexponential, we&rsquo;re building the AI-powered platform that enables the world&rsquo;s most critical decisions in a $7 trillion industry - which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms.
 <br/>
 <br/>
 Until now, insurers have been making billion-dollar decisions using outdated tools. We&rsquo;re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence.
 <br/>
 <br/>
 Backed by a16z, Highland Europe, and Battery Ventures, we&rsquo;re scaling globally - already trusted by nearly 50 of the world&rsquo;s largest insurers, with zero churn and billions in premiums flowing through hx.
 <br/>
 <br/>
 What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world&rsquo;s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates.
 <br/>
 <br/>
 What makes hx different is the people who build it. Here, impact isn&rsquo;t tied to title or tenure; it&rsquo;s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you&rsquo;ll do the best, hardest work of your life in a company engineered to endure.
 <br/>
 <br/>
 If that sounds like you, join us in building what comes next.
 <br/>
 <br/>
 <strong>
  About The Model Development Team
  <br/>
  <br/>
 </strong>
 The hyperexponential Model Development team (MDT) is a unique blend of engineers, actuaries, mathematicians and data scientists. We don&rsquo;t take on traditional &ldquo;transformations&rdquo; (we have brilliant partners for that) &ndash; we specialise in handling only the most difficult and interesting problems our customers face, where only a combination of technical depth, market expertise and hx Renew knowledge will do.
 <br/>
 <br/>
 The MDT are the experts' experts of hx Renew, knowing it top-to-bottom, inside-out &ndash; both breadth and depth. You&rsquo;ll learn its limits and which can be pushed. You&rsquo;ll uncover every trick in the book, the secret combinations, and the shortcuts. You&rsquo;ll combine all of this with a growing knowledge of insurance technology to present 'the art of the possible' to our customers and help shape cutting-edge tech, while working alongside some of the brightest, most ambitious people in the tech and insurance industries.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Be Doing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own end-to-end model delivery on hx Renew, from scoping and build through to testing, iteration, and customer delivery.
  </li>
  <li>
   Build and maintain production-grade Python models, applying modern engineering and modelling practices.
  </li>
  <li>
   Work directly with customer actuarial teams and internal stakeholders to solve complex, ambiguous modelling and coding problems.
  </li>
  <li>
   Raise quality across the team through code review, testing, and contributions to best-practice model development guidance.
  </li>
  <li>
   Support and mentor junior model developers through pairing, feedback, and day-to-day delivery support.
  </li>
  <li>
   Continuously look for ways to improve our model development standards, tooling, and ways of working.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Need To Have Done
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Shipped and maintained production-grade Python code in complex or data-heavy environments.
  </li>
  <li>
   Applied predictive modelling or advanced analytics in real-world settings (insurance or reinsurance exposure is a bonus, not a requirement).
  </li>
  <li>
   Taken ownership of ambiguous problems, creating structure and driving them through to high-quality outcomes.
  </li>
  <li>
   Worked directly with non-technical stakeholders or customers, translating requirements into robust technical solutions.
  </li>
  <li>
   Operated effectively in a high-trust, high-accountability environment, proactively driving your own development and learning.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You&rsquo;re unlikely to thrive here if
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You prefer following detailed instructions rather than experimenting and finding your own approach.
  </li>
  <li>
   You are uncomfortable working directly with non-technical stakeholders to understand their challenges.
  </li>
  <li>
   You avoid tackling ambiguous or open-ended problems where the solution isn&rsquo;t obvious.
   <br/>
   <br/>
  </li>
 </ul>
 If reading our
 <strong>
  Culture Document
 </strong>
 leaves you feeling neutral rather than energised, hx may not be the place where you&rsquo;ll do your best work. We&rsquo;re building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us.
 <br/>
 <br/>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 At hx, we&rsquo;re committed to salary transparency. You&rsquo;ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we&rsquo;re working towards publishing salary information for all roles globally.
 <br/>
 <br/>
 Because we&rsquo;re building at the intersection of technology/SaaS and insurance, our roles don&rsquo;t always map neatly onto traditional benchmarks. Our approach is to design compensation that&rsquo;s competitive in the market, fair across teams, and aligned with the impact our people make.
 <br/>
 <br/>
 <strong>
  Equity:
 </strong>
 We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   &pound;5,000 training and conference budget for individual and group development.
  </li>
  <li>
   25 days of holiday plus 8 bank holidays (33 days total).
  </li>
  <li>
   Company pension scheme via Penfold.
  </li>
  <li>
   Mental health support and therapy via Spectrum.life.
  </li>
  <li>
   Individual wellbeing allowance via Juno.
  </li>
  <li>
   Private healthcare insurance through AXA.
  </li>
  <li>
   Income protection and Life Insurance.
  </li>
  <li>
   Cycle to Work Scheme
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Perks
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Top-spec equipment (laptop, screens, adjustable desks, etc.).
  </li>
  <li>
   Regular remote and in-person hackathons, lunch and learns, socials, and game nights.
  </li>
  <li>
   Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry.
  </li>
  <li>
   Exceptional opportunities for personal development and growth as we build something remarkable together.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Interview process
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Initial call with our Talent team - 30 minutes
  </li>
  <li>
   Take-home Python challenge followed by Skills Interview - 1 hour
  </li>
  <li>
   Manager Interview - 1 hour
  </li>
  <li>
   Values Interview - 1 hour
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our commitment to Diversity
  <br/>
  <br/>
 </strong>
 hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive.
 <br/>
 <br/>
 Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you&rsquo;re energised by complexity and motivated to grow, we encourage you to apply and join our global team.
 <br/>
 <br/>
 <strong>
  Next steps
  <br/>
  <br/>
 </strong>
 If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome.
 <br/>
 <br/>
 For more information about applying and to view other opportunities, you can visit our careers page.
 <br/>
 <br/>
 <strong>
  Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.
 </strong>
</div>


Model Developer

Goldman Sachs

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 Are you a visionary Data Scientist or Machine Learning Scientist passionate about leveraging cutting-edge AI to transform financial markets? Do you thrive on building end-to-end solutions, from robust data pipelines and sophisticated feature engineering to deploying advanced predictive models and personalized recommendation systems? If you have hands-on experience, and a desire to make a significant impact in a dynamic, fast-paced environment, we want to hear from you.
 <br/>
 <br/>
 <strong>
  OUR IMPACT
  <br/>
  <br/>
 </strong>
 The Global Markets Division
 <br/>
 <br/>
 As a Data Scientist/Machine Learning Scientist in the Global Markets Division, you will be at the forefront of innovation on the trading floor. You will design and implement advanced machine learning models, including predictive AI, to uncover complex market trends and generate actionable insights
 <strong>
  .
 </strong>
 Leveraging cutting-edge techniques, you will develop sophisticated analytical tools that will, at scale, connect clients to the signals, tools and expertise to better analyze their portfolios and manage risk. Your expertise will drive data-driven product development and business strategy through advanced analytics, predictive modelling, and the application of recommendation systems. Our data scientists and machine learning engineers are applying advanced quantitative and AI/ML techniques to solve the most complex business challenges in a dynamic, entrepreneurial team with a passion for the markets.
 <br/>
 <br/>
 Marquee
 <br/>
 <br/>
 Marquee is Goldman Sachs' premier digital platform for Global Banking &amp; Markets, serving our Institutional Clients (Hedge Funds, Asset Managers, Insurers) and Corporate Clients with the latest insights and analytics from the division. A recognized market leader, Marquee has garnered 5 awards over the past 3 years for its innovative solutions.
 <br/>
 <br/>
 The Marquee Sales Strats Team
 <br/>
 <br/>
 The Marquee Sales Strats team is a hub for advanced data science and machine learning, focusing on developing and deploying predictive AI, recommendation systems, and sophisticated analytical models. We leverage extensive datasets, including those structured in graph databases and knowledge graphs, to generate deep insights into financial markets and enhance Marquee&rsquo;s platform engagement. We collaborate closely with Sales, Trading, Engineering, Product, Design, other areas of the Global Markets Division, and directly with clients. Our global team comprises experts in financial markets, product structuring, cutting-edge technology, and advanced data science/machine learning, including specialists in graph theory and knowledge representation.
 <br/>
 <br/>
 <strong>
  How You Will Fulfill Your Potential
  <br/>
  <br/>
 </strong>
 At Goldman Sachs, our Engineers and Scientists don&rsquo;t just make things &ndash; we make things possible. Change the world by connecting people and capital with ideas and technology. Combine advanced engineering and deep market knowledge to solve the most pressing problems for our clients. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment.
 <br/>
 <br/>
 As a Marquee Sales Data Scientist/Machine Learning Scientist, you will be instrumental in designing, developing, and deploying advanced machine learning models, including predictive AI and recommendation systems, to deliver unparalleled analytics and insights for the Goldman Sachs Franchise
 <strong>
  .
 </strong>
 Your work will directly enhance the client experience and drive strategic decision-making
 <strong>
  .
 </strong>
 You will collaborate closely with Traders, Salespeople, and Strats across all asset classes, leveraging your expertise to build robust data pipelines, engineer impactful features, and train sophisticated models. Your contributions will be critical in developing personalized recommendation engines and predictive analytics that drive Marquee platform adoption and ensure clients receive the most relevant, timely, and actionable content. You will utilize technologies including Python (Pandas, Polars, Scikit-learn, TensorFlow/PyTorch), Jupyter, Trino, SQL, and gain exposure to graph database technologies.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <strong>
  RESPONSIBILITIES AND QUALIFICATIONS:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and maintain robust data pipelines for feature engineering and model training, ensuring data quality, scalability, and explainability.
  </li>
  <li>
   Develop, train, and deploy state-of-the-art machine learning models, with a strong focus on recommendation systems and signal generation, to address complex problems in financial markets.
  </li>
  <li>
   Utilize and contribute to the development of graph databases and knowledge graphs to enrich data context, uncover hidden relationships, and make predictions.
  </li>
  <li>
   Conduct rigorous model evaluation, A/B testing, and monitoring to ensure optimal performance, reliability, and business impact of deployed models.
  </li>
  <li>
   Collaborate with product managers, engineers, and business stakeholders to translate complex analytical findings into clear, actionable insights and integrate ML solutions into production systems.
  </li>
  <li>
   Stay abreast of the latest advancements in machine learning, AI, and data science, and proactively identify opportunities to apply new techniques.
  </li>
  <li>
   Contribute to the team's overall technical growth and best practices.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field.
  </li>
  <li>
   2+ years of proven expertise and hands-on experience in the full lifecycle of data science and machine learning projects, from data ingestion and feature engineering to model deployment and monitoring in a production environment.
  </li>
  <li>
   Exceptional programming skills in Python, with a command of data science libraries (e.g., Pandas, NumPy, Scikit-learn)
  </li>
  <li>
   Experience with big data technologies (e.g., Spark, Trino, Hadoop) and ideally cloud platforms (e.g., AWS, GCP, Azure) for scalable data processing, storage, and model deployment.
  </li>
  <li>
   Ideally having understanding and practical experience with graph databases (e.g., Neo4j, Amazon Neptune, ArangoDB) and knowledge graph construction, querying (e.g., Cypher, SPARQL), and utilization for feature enrichment.
  </li>
  <li>
   Strong understanding of statistical modeling, experimental design, and causal inference.
  </li>
  <li>
   Clear, critical thinking, concise writing skills, and excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences.
  </li>
  <li>
   Self-starter with a creative, hands-on approach to problem-solving and a passion for designing and implementing programmatic solutions to client needs.
  </li>
  <li>
   Able to thrive in a global, fast-paced, and collaborative team environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Goldman Sachs
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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. Learn more about our culture, benefits, and people at GS.com/careers.
 <br/>
 <br/>
 We&rsquo;re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
 <br/>
 <br/>
 &copy; The Goldman Sachs Group, Inc., 2023. All rights reserved.
 <br/>
 <br/>
 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>


Global Banking & Markets - Data / Machine Learning Scientist, Marquee Sales Strats, Associate

Explore 43+ Predictive modeler in London this July. Find roles across top companies and apply now to boost your career.

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Global Banking & Markets - Data / Machine Learning Scientist, Marquee Sales Strats, Associate