data engineer

data scientist

senior data scientist

senior data engineer

lead data scientist

senior data mining analyst

C3 AI

<div><div>C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI</div>
As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform (c3.ai/customers/). You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. 
 
Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale. Some traveling is expected.

Responsibilities:
<ul>
<li>Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applications leveraging the C3 AI Suite.</li>
<li>Assist and enable C3 AI's customers to build their own applications on the C3 AI Suite.</li>
<li>Contribute to the design and implementation of new features of the C3 AI Suite.</li>
<li>Analyse model performance across asset fleets, diagnose issues such as low risk scores or false positives, and recommend hyperparameter adjustments.</li>
<li>Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.</li>
</ul>
Qualifications:
<ul>
<li>MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.</li>
<li>Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning).</li>
<li>Strong mathematical background (linear algebra, calculus, probability and statistics).</li>
<li>Experience with scalable ML (MapReduce, streaming).</li>
<li>Ability to drive a project and work both independently and in a team.</li>
<li>Smart, motivated, can do attitude, and seeks to make a difference.</li>
<li>Excellent verbal and written communication.</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with JavaScript and prototyping languages such as Python and R. Experience with Java and Scala is a plus.</li>
<li>A portfolio of projects (GitHub, papers, etc.) is a plus.</li>
</ul>
C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.<div>
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></div>

Data Scientist / Senior Data Scientist

Quaisr

<div></div><div><div><div><div><div>You are a recent PhD graduate, or about to graduate, in a STEM field with a keen interest in generating real-world impact with industrial applications
</div><div>Apply Now
</div></div></div></div><div><div><div><div>Who we are
We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team.
Who you are
You are a recent PhD graduate, or about to graduate, in a STEM field with a keen interest in generating real-world impact with industrial applications. Must have:
<ul><li>Relevant PhD degree in a STEM field (e.g., engineering, physics, mathematics, computer science).</li>
<li>Evidence of self-motivated learning, listening, creative problem solving, critical thinking and solutions communication. We are less interested in specific technologies and tools, and more interested in your attitude, learning speed and thought processes.</li>
<li>Strong written-communication skills.</li>
<li>Exposure to data-science tooling, e.g. Python, R, Julia.</li>
<li>Eligibility to work in the UK.</li>
</ul>Nice to have:
<ul><li>Previous applied experience, e.g. internships or research projects, with industry or in technology startups.</li>
<li>Understanding of manufacturing, process engineering or mechanical engineering fundamentals, e.g. optimisation, uncertainty quantification, or sensitivity analysis.</li>
<li>Existing interest in any of analysis automation, high-performance computing (HPC), cloud computing, Linux command-line tools, or bash scripting.</li>
<li>Ability to deal with ambiguity and change, in a high-growth environment, while maintaining high standards of quality and attention to detail.</li>
</ul>Bonus:
<ul><li>Existing interest in standard machine learning and deep-learning packages (e.g., scikit-learn, Keras, PyTorch).</li>
<li>Exposure to commercial engineering tools or optimisation packages (e.g., Dassault Syst&egrave;mes, Siemens, ANSYS, Aspen), open-source optimisation tools used in industry and academia.</li>
</ul>What we do
We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems.
Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors.
Where we operate
Our office is in London (White City). This position is available full time in the UK.
When we work
We offer 25 days paid annual leave, in addition to UK public holidays.
What you will do
You will have opportunities to contribute to exciting projects and grow your career in a supportive environment:
<ul><li>(60%) Devise, plan, implement and deploy industrial use cases &ndash; identifying steps to address customer feedback and requirements by supporting the applications, user interface and systems teams to ensure that we are consistently addressing customer problems with compelling solutions.</li>
<li>(20%) Contribute to technical reference materials including application, code and use-case documentation, technical blog posts, and educational resources for teach-in sessions and data-centric engineering seminars.</li>
<li>(20%) Support the sales and customer success processes through hands-on contributions, and communicate examples to both existing and prospective customers.</li>
</ul>What we offer
<ul><li>Salary range of &pound;60,000 to &pound;85,000 depending on experience.</li>
<li>Development training and support to learn required technical skills.</li>
<li>Employee stock options.</li>
<li>New equipment: MacBook Pro, and work-from-home allowance.</li>
<li>Opportunities to attend technical conferences.</li>
<li>Flexible hybrid working environment, blending work from the office and home.</li>
</ul>Our hiring process
<ul><li>(30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you.</li>
<li>(90 mins) Technical call with two Quaisr team members. We&rsquo;ll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think!</li>
<li>(45 mins) Online coding exercise (with a Quaisr team member on the call) covering basic concepts (whichever language you are most comfortable in).</li>
<li>(45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us.</li>
</ul>Application instructions
Please send a cover letter and CV (max 2 pages) to careers@quaisr.com.
Our policy on equality, diversity and inclusion
Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability.
One more thing
If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.</div></div></div></div></div>

Data Scientist, Mid/Senior (m/f/*)

Tapestry

<div>Explore the possibilities across our global house of brands. 
 
Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story. 
 
At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible.
Primary Purpose: The Senior Manager, Data Analytics applies advanced analytics and data science to fuel growth of Tapestry&rsquo;s EMEAI markets. The focus is shifting from routine reporting to actionable insight, driving adoption of data-based measurement across the organization and championing automation and AI to accelerate decision making and operational efficiency. You will work collaboratively with business partners worldwide to define the right questions, uncover high impact opportunities and translate insights into practical business recommendations that improve revenue, gross margin and customer experience.
The successful individual will leverage their proficiency in Data Analytics to:
<ul><li>Centralise data integrity, reporting, tools architecture and training while decentralising insight creation and action. Partner across functions to design data‑driven analysis, strategies and tools
</li><li>Shift effort from static reporting to insight generation. Build interactive visualisations, dynamic dashboards and standard reports that surface leading‑indicator insights
</li><li>Perform large‑scale analysis that uncovers high‑impact acquisition drivers, media‑spend efficiency and revenue‑boosting actions; translate results into clear, data‑driven stories
</li><li>Drive organisation‑wide adoption of data. Measure outcomes, showcase impact and encourage a data‑first mindset for decision‑making.
</li><li>Embed predictive models, automated reporting and AI‑driven recommendations (e.g., MAP efficiency, allocation optimisation) and champion their use in business processes
</li><li>Drive adoption of automation &amp; AI. Lead AI/ML pilot projects, demonstrate tangible value and promote scaling of successful models
</li><li>Collaborate with data‑engineering, data‑science and algorithm teams to innovate data sourcing, management and product solutions
</li><li>Connect with the Global Data Analytics (DA) team to align reporting standards, share best practices and foster cross‑regional data collaboration
</li><li>Maintain data integrity, develop reusable analytics tools and provide stakeholder training so teams can rely on accurate self‑service data
</li><li>Track key operational metrics, measure operational efficiency and drive process improvements that maximise sales, gross margin and improve the site site‑consumer journey &amp; conversion, and focus the organisation on acquisition levers
</li></ul>The accomplished individual will possess:
<ul><li>5+ years of hands‑on analytics experience within retail, eCommerce, or consulting environments
</li><li>Advanced SQL and ETL capabilities
</li><li>Strong data‑visualisation expertise (Tableau or comparable)
</li><li>Hands‑on experience with Google Analytics and BigQuery
</li><li>Proficiency in Python or R for analysis and modelling
</li><li>Proven ability to drive adoption of data‑based measurement and turn metrics into strategic actions
</li><li>Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI‑assisted tools)
</li><li>Excellent storytelling, communication, and relationship‑building skills
</li><li>Track record of translating analytics into revenue‑driving initiatives and improving gross margin
</li><li>Ability to prioritise dynamically in a fast‑paced, global environment
</li><li>Bachelor&rsquo;s degree in a quantitative or technical discipline
</li><li>Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.)
</li><li>Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling
</li><li>Prior success influencing global data‑culture change and promoting data‑centric decision making
</li></ul>Please be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK.
What Tapestry can offer you:
<ul><li>Hybrid working (Tuesday - Thursday working from the office, Monday and Friday working remotely)
</li><li>Option to finish early on a Friday (Flex Fridays)
</li><li>1 paid volunteering day per year and opportunities to volunteer with global projects
</li><li>Learning &amp; development opportunities
</li><li>Internal mobility &amp; career progression
</li><li>Regular social events - seasonal &amp; cultural
</li><li>Equity Inclusion &amp; Diversity initiatives which include employee resource groups &amp; regional inclusion council 
</li></ul> 
Other benefits include:
<ul><li>25 days holiday in addition to bank holidays
</li><li>Annual Incentive Plan (company performance bonus)
</li><li>Multi brand discount up to 50% off &ndash; Coach and Kate Spade.
</li><li>Private healthcare with health assessment (Bupa)
</li><li>Bupa rewards - Financial wellbeing support and wellness discounts
</li><li>Private dental cover
</li><li>Free 24/7 support for family building, fertility and menopause with Maven
</li><li>Eyecare vouchers
</li><li>Employee assistance programme
</li><li>Enhanced employer pension contribution
</li><li>Gym discount
</li><li>Interest free season ticket loan
</li><li>Cycle to work scheme
</li></ul>At Tapestry, we are committed to building a diverse &amp; inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that&rsquo;s ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you.
 
 
Our Competencies for All Employees
 
Courage : Doesn&rsquo;t hold back anything that needs to be said; provides current, direct, complete, and &ldquo;actionable&rdquo; positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
 
Creativity : Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
 
Customer Focus : Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
 
Dealing with Ambiguity : Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn&rsquo;t upset when things are up in the air; doesn&rsquo;t have to finish things before moving on; can comfortably handle risk and uncertainty.
 
Drive for Results : Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
 
Interpersonal Savvy : Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
 
Learning on the Fly : Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
 
 
Our Competencies for All People Managers
 
Strategic Agility : Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
 
Developing Direct Reports and Others : Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
 
Building Effective Teams : Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant&rsquo;s or employee&rsquo;s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
 
 
Visit Tapestry, Inc .</div>

Senior Manager, Data Analytics

Brainlabs

<div><div>Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we were built by engineers before we were a media agency. Today, 1,000+ Brainlabbers across five continents use our proprietary agents, built on 32 media tools and over 2,500 logged experiments, to help brands connect every channel they plan and buy to one thing: the bottom line.</div>
As the Manager, Data Science, you will support the delivery of Google Meridian MMM projects and other data science engagements for Brainlabs clients, working closely with the Director of Data Science to produce technically rigorous, clearly communicated outputs. You are responsible for the quality of your own modelling work and for helping clients understand what the analysis means for their media decisions. This is a role for a data scientist who is strong on the technical fundamentals, curious about how marketing data can drive better business decisions, and developing the skills to communicate complex ideas clearly.
<h3 class="jobSectionHeader">
What you do</h3>
<ul><li>Support MMM Project Delivery: You contribute to the delivery of Google Meridian and other MMM projects, owning specific workstreams including data preparation, model runs, and scenario analysis under the direction of the Director of Data Science.</li>
<li>Deliver Other Modelling Projects: You support and independently deliver a range of data science engagements, applying statistical and analytical skills to real client problems with a focus on accuracy and clear interpretation.</li>
<li>Translate Outputs Into Insight: You take model outputs and draft clear, accessible summaries and narratives that connect findings to media budget decisions, ready for review and client presentation.</li>
<li>Apply AI to Data Science Workflows: You use Claude and other AI tools as a standard part of your workflow, finding practical ways to accelerate code development, documentation, and output communication.</li>
<li>Contribute to Practice Development: You support the development of Brainlabs' data science capability through documentation, process improvement, and sharing what you learn across the team.</li>
</ul><h3 class="jobSectionHeader">Who you are</h3>
<ul><li>A Rigorous and Curious Data Scientist: You have hands-on experience with Marketing Mix Modelling or related statistical modelling, including working knowledge of Meridian, Robyn, and/or PyMC, and you care deeply about getting the analysis right &mdash; not just delivering an output.</li>
<li>Technically Proficient: You are experienced in Python and comfortable working with GCP, with a solid understanding of Bayesian statistics and marketing attribution concepts.</li>
<li>A Practical AI User: You use AI tools in your day-to-day work, with a habit of exploring how they can improve your outputs or speed up your workflow.</li>
<li>Developing as a Communicator: You are building your ability to explain technical concepts clearly to non-technical audiences, and take feedback on how to make your outputs more accessible.</li>
<li>Detail-Oriented: You take pride in the accuracy and rigour of your work, and apply a consistent quality check to everything you deliver.</li>
<li>Curious and Motivated: You are genuinely interested in the intersection of data science and marketing effectiveness, and proactively develop your skills beyond what the immediate job requires.</li>
</ul><h3 class="jobSectionHeader">How you succeed</h3>
<ul><li>Modelling Quality: The workstreams you own within MMM and other projects meet the quality standard set by the Director, with outputs that are accurate, well-documented, and reproducible.</li>
<li>Clear Output Communication: The summaries and narratives you draft require minimal revision before client presentation, and you can explain your methodology clearly when asked.</li>
<li>AI Adoption: You can demonstrate at least one documented AI application per month that improved your workflow or the quality of your output.</li>
<li>Delivery Reliability: You hit agreed deadlines on your workstreams and raise risks early when timelines are at risk.</li>
<li>Practice Contribution: You contribute at least one improvement or piece of documentation to the data science team each quarter, evidenced by adoption or feedback from the Director.</li>
</ul><div>
What happens next?

We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.

Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!

Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.</div></div>

Junior Manager, Data Science

Explore Group

<div>
 
 
 London, 4 or 5 days onsite
 
 
 
 
 Upto &pound;120,000 + meaningful equity
 
 
 
 
 
 
 
 To meet global demand, the world needs to mine as much copper in the next 25 years as in all of human history. Current methods cannot scale to this challenge. We are a venture-backed university spin-out developing frontier technology to fix this, starting with the core of every mining company: the understanding of the orebody
 
 
 
 
 
 .
 
 Using explainable AI and value-of-information analysis, our uncertainty-aware models map subsurface resources from multimodal data. This allows mining companies to make faster, better-evidenced drilling decisions, halving costs and accelerating time to productio
 
 
 
 
 
 
 n.
 
 The R
 
 
 
 oleAs our Founding Engineer, you will build and own the pipelines that move data through our system and the infrastructure that turns our models into a reliable, auditable product. You will have full ownership over how our data and ML platform architecture evolves as we sca
 
 
 
 
 
 
 le.
 
 Key Responsibili
 
 
 <ul>
 <li>
 tiesRun MLOps by building and maintaining infrastructure for scalable training and inference, frictionless ML development, and reproducible, traceable mo
 </li>
 <li>
 delsShip clean, easy-to-debug pipeline code that is highly extensible for new workf
 </li>
 <li>
 lowsAlign with product engineers to ensure seamless integration of new models into the pro
 </li>
 </ul>
 
 
 
 
 
 duct
 
 Abou
 
 
 <ul>
 <li>
 t YouMission-driven and energized by solving hard, ambiguous problems in foundational indus
 </li>
 <li>
 triesSelf-directing with a proven track record of executing projects end-to-end and prioritizing ruthl
 </li>
 <li>
 esslyExpert Python skills and deep knowledge of modern data-pipeline to
 </li>
 <li>
 olingProven experience owning production-grade ML workflows and standing up cloud infrastru
 </li>
 <li>
 ctureBonus points if you have experience with geospatial ML platforms, scientific computing stacks, or making ML reproducible in high-stakes environ
 </li>
 </ul>
 
 
 
 ments
</div>

Machine Learning Engineer

<div>
 
 
 About CRU:
 
 
 
 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.
 
 
 
 
 
 
 About the role:
 
 
 
 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.
 
 
 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.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <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>
 
 
 
 
 
 Qualifications:
 
 
 <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>
 
 
 
 
 
 Skills &amp; Experience:
 
 
 <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>
 
 
 
 
 
 What We Offer:
 
 
 <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

Hiscox

<div>
 
 Job Type
 
 
 
 Permanent
 
 
 
 Build a brilliant future with Hiscox
 
 
 
 
 Position: Senior Data Scientist
 
 
 
 
 Reporting to:
 
 Lead Data Scientist
 
 
 
 Location:
 
 London
 
 
 
 Type:
 
 Permanent
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 
 Key Responsibilities
 
 
 
 <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.
 
 
 
 </li>
 </ul>
 
 Person Specification
 
 
 
 <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
 
 
 
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 Skills
 
 
 
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 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.
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 Experience with analytical tools / programming languages and databases (for example: Python, R, SQL).
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 Experience with large language models and prompting, GCP experience is a plus.
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 Interest in a variety of machine learning techniques from simple linear models and random forests to deep learning.
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 A particular interest in natural language processing or machine vision.
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 A strong grasp of foundational statistics is essential.
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 Experience working both in small teams and independently on analytics projects.
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 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.
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 Willingness to learn best practice in software development.
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 Knowledge of insurance is an advantage but not essential.
 
 
 
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 Apply now for further information
 
 
 
 
 Work with amazing people and be part of a unique culture
 
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Senior Data Scientist

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