senior data scientist

Data Idols

<div><h2 class="jobSectionHeader">Senior Data Scientist</h2>
<h3 class="jobSectionHeader">Salary: &pound;85K &ndash; &pound;95K</h3>
<h3 class="jobSectionHeader">Location: London (Hybrid &ndash; 3 days per week)</h3>

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.

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.
<h3 class="jobSectionHeader">
The Opportunity</h3>

This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.

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.

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.

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.

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.
<h3 class="jobSectionHeader">
Skills &amp; Experience</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>
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.
<h2 class="jobSectionHeader">
Senior Data Scientist</h2></div><div></div>

Senior Data Scientist

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
 
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <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.
 
 
 
 </li>
 </ul>
 
 Apply now for further information
 
 
 
 
 Work with amazing people and be part of a unique culture
 
</div>

Muzz

<div>
 
 
 London, UK - Hybrid (Tue, Wed &amp; Thur in Office)
 
 
 
 
 &pound;80,000 - &pound;90,000 + equity
 
 
 
 
 
 
 We&rsquo;re looking for a smart and ambitious data scientist, with real entrepreneurial flair to join our team and understand our members and all the metrics that matter. Love numbers and love being commercial? This role presents an opportunity to mold the future of the data science team, explore new ideas and new technologies.
 
 
 
 
 
 Muzz is the world&rsquo;s largest Muslim dating and marriage app. We&rsquo;ve got over 15 million members and have helped more than 800,000 couples get married. We&rsquo;re on our way to become the first $1 billion Muslim tech brand - but we need your help!
 
 
 
 
 
 
 Day to day
 
 
 <ul>
 <li>
 You'll be joining a dynamic data science team whose goal is to grow the company and optimize our products as we expand into new markets around the world
 </li>
 <li>
 You'll be understanding our user behaviour on the platform with a view to generating actionable insights in terms of both product and marketing
 </li>
 <li>
 You'll work closely with our product, engineering and growth teams
 </li>
 <li>
 You'll be a proactive self-starter, driving innovation with a product focus
 </li>
 <li>
 You&rsquo;ll be diving into a range of data to solve our highest impact and complex challenges
 </li>
 <li>
 You'll own and evolve the production ML systems behind our personalization and recommendations serving millions of users
 </li>
 <li>
 You'll use AI tools as a core part of how you work and help set how the wider team gets the most out of them
 </li>
 <li>
 You'll raise the bar for the team - mentoring analysts and data scientists, and helping shape our technical standards and roadmap
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 At least 5 years of experience in a Data Scientist or Machine Learning Engineer role
 </li>
 <li>
 Strong Python and SQL knowledge
 </li>
 <li>
 Strong grounding in the statistical methods behind personalization and recommendations models - e.g. embeddings, ranking, collaborative filtering
 </li>
 <li>
 Excellent written and verbal communication skills and presenting to non-technical audiences
 </li>
 <li>
 Commercial mindset with the ability to harness customer insights to optimise our marketing and products
 </li>
 <li>
 Ability to work collaboratively in cross-functional teams
 </li>
 <li>
 Passionate about solving complex and challenging data problems
 </li>
 <li>
 Experience in designing and conducting A/B experiments
 </li>
 <li>
 A proven track record of developing and owning production ML pipelines - including data processing, deployment, monitoring, retraining
 </li>
 <li>
 Demonstrated end-to-end ownership of significant ML projects - from framing the problem to shipping it, and through the messy realities of live performance, edge cases and iteration once real users hit it
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Hands-on experience with recommender systems, with real-time or near-real-time updates and serving
 </li>
 <li>
 Experience in consumer-facing mobile-first products
 </li>
 <li>
 Experience with GCP platform - BigQuery/VertexAI
 </li>
 </ul>
 
 
 
</div>

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Summary:
 
 
 
 As PayPal continues its mission to revolutionize commerce, we are seeking a Senior Data Scientist to join our Consumer Portfolio Growth team. In this role, you will help drive profitable growth across our consumer product portfolio by transforming complex data into actionable insights that inform strategic decisions and deliver measurable business impact.
 
 
 This is an opportunity for a business-oriented data scientist who combines strong technical expertise with sound business judgment. You will partner closely with cross-functional stakeholders, apply advanced analytical methods to challenging business problems, and help shape decisions that drive growth, engagement, and long-term customer value. If this introduction sparks your interest, keep reading &mdash; the best is yet to come!
 
 
 
 Job Description:
 
 
 
 
 Essential Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the development and implementation of advanced data science models.
 </li>
 <li>
 Collaborate with stakeholders to understand requirements.
 </li>
 <li>
 Drive best practices in data science.
 </li>
 <li>
 Ensure data quality and integrity in all processes.
 </li>
 <li>
 Mentor and guide junior data scientists.
 </li>
 <li>
 Stay updated with the latest trends in data science.
 
 
 </li>
 </ul>
 
 Minimum Qualifications:
 
 
 
 <ul>
 <li>
 3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 
 
 </li>
 </ul>
 
 Additional Responsibilities &amp; Preferred Qualifications:
 
 
 
 
 Meet Our Team
 
 
 
 Our Consumer Portfolio Growth team sits at the intersection of data science and commercial strategy. We focus on understanding how consumers engage across PayPal&rsquo;s full product suite &mdash; spanning PayPal P2P, Checkout, Credit, Debit, and more &mdash; and identifying where the greatest untapped growth opportunities lie.
 
 
 The team drives business outcomes through advanced analytics, customer segmentation, funnel analysis, experimentation, and causal inference. We are a close-knit group of intellectually curious, technically rigorous data scientists who take pride in delivering clear narratives to senior leadership and measurable business impact.
 
 
 
 Your Way to Impact
 
 
 
 In this role, you will help drive profitable growth across PayPal&rsquo;s consumer product portfolio by transforming data into actionable insights that influence strategic decisions. Your work will directly shape business performance by delivering rigorous analyses, scalable data science solutions, and recommendations that help teams make better decisions and create lasting value for our customers.
 
 
 
 Your Day to Day
 
 
 
 <ul>
 <li>
 Lead deep-dive analyses that uncover the drivers behind business performance, diagnose unexpected trends, challenge assumptions, and identify new growth opportunities.
 </li>
 <li>
 Apply sophisticated quantitative methods&mdash;including machine learning, causal inference, synthetic controls, difference-in-differences, and propensity score matching&mdash;to answer complex business questions with statistical rigor.
 </li>
 <li>
 Build and evolve customer segmentation frameworks that reveal behaviorally distinct consumer cohorts and translate those insights into targeted growth strategies.
 </li>
 <li>
 Analyze how consumer behavior evolves across PayPal&rsquo;s product ecosystem, quantifying the impact of cross-product engagement on activation, retention, monetization, and customer value.
 </li>
 <li>
 Monitor key consumer funnel metrics across products, customer segments, and geographies, identifying trends, risks, and growth opportunities.
 </li>
 <li>
 Develop business cases and opportunity-sizing analyses to support growth initiatives and strategic investments.
 </li>
 <li>
 Lead analytical projects from problem definition through recommendation, ensuring insights are actionable, timely, and aligned with business priorities.
 </li>
 <li>
 Partner closely with Product, Commercial, Marketing, and Finance teams to inform decision-making and influence strategy.
 </li>
 <li>
 Serve as a trusted analytical partner to stakeholders by translating complex analyses into clear, actionable recommendations.
 </li>
 <li>
 Leverage AI-assisted tools and modern analytical workflows&mdash;including LLM-based technologies such as Claude, Claude Code, ChatGPT, or similar platforms&mdash;to accelerate analysis, automate recurring workflows, and scale insight delivery.
 
 
 </li>
 </ul>
 
 What You Need To Succeed
 
 
 The ideal candidate combines strong analytical and modelling capabilities with hands-on expertise in SQL, statistics, and data visualization.
 
 
 <ul>
 <li>
 Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.
 </li>
 <li>
 Significant experience in data science, analytics, economics, statistics, or a related quantitative field, including hands-on experience analyzing large and complex datasets.
 </li>
 <li>
 Advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.
 </li>
 <li>
 Demonstrated experience applying advanced analytical methods&mdash;including machine learning, causal inference, synthetic controls, or difference-in-differences&mdash;in a business context.
 </li>
 <li>
 Experience developing and deploying analytical models in research and production environments.
 </li>
 <li>
 Experience presenting findings and recommendations to business stakeholders, including senior leaders.
 </li>
 <li>
 Proficiency in visualization and reporting tools such as Tableau or Looker, with the ability to produce executive-ready presentations.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to tailor messages to both technical and non-technical audiences.
 </li>
 <li>
 Ability to work proactively and independently in a fast-paced environment, managing competing priorities and bringing structure to complex business challenges.
 
 
 </li>
 </ul>
 
 The Traits to Exceed
 
 
 
 You are proactive, intellectually curious, and enjoy solving complex business problems while continuously learning and improving. As part of a broader Consumer Analytics organization, you will partner closely with cross-functional stakeholders across Product, Commercial, Marketing, Finance, and Engineering, making strong collaboration, communication, and influencing skills essential for success.
 
 
 We are especially looking for candidates who:
 
 
 <ul>
 <li>
 Are comfortable working in evolving and ambiguous environments, bringing clarity to complex business challenges.
 </li>
 <li>
 Demonstrate intellectual curiosity and consistently go beyond the immediate question to uncover the insight that matters most.
 </li>
 <li>
 Have a track record of translating rigorous analytical work into measurable business outcomes.
 </li>
 <li>
 Embrace modern AI-enabled ways of working, using LLMs and intelligent automation tools to improve productivity and scale impact.
 </li>
 <li>
 Communicate complex ideas clearly and confidently to audiences at all levels of the organization.
 
 
 </li>
 </ul>
 
 We Believe in You
 
 
 
 Interested? Don&rsquo;t hesitate to apply and let's talk &mdash; we&rsquo;d love to get to know you!
 
 
 _
 
 
 
 Subsidiary:
 
 
 
 PayPal
 
 
 
 Travel Percent:
 
 
 
 0
 
 
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
 
 
 
 Who We Are:
 
 
 
 Click Here to learn more about our culture and community.
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
</div>

Hastings Direct

<div>Job title: Senior Data Scientist &ndash; Pricing
Location: London / Leicester / Bexhill - Hybrid
Welcome to Hastings Direct
We&rsquo;re a digital insurance provider with ambitious plans to become the best and biggest in the UK market. We&rsquo;ve made huge investments in our pricing and data capabilities over the past few years, along with nurturing our 4Cs culture.
We provide insurance for over four million customers, but we know there&rsquo;s even bigger opportunity out there &ndash; our Pricing, Data and Analytics community value curiosity, collaboration and constructive challenge.
We are always looking for new ideas and diverse perspectives to question established thinking and drive meaningful change. Great pricing is built on trust, innovation and precision, so our aim is to ensure customers receive a fair and accurate price based on their individual risk, supporting fair outcomes, while delivering sustainable and profitable growth for our company.
Pricing is more than just a number &ndash; it&rsquo;s a strategic capability. At the heart of Hastings is deep risk insight &ndash; continually improving how we assess, segment and price risk through data and analytics.
Role overview
We are Looking for an experienced Data Scientist that want&rsquo;s to break free of the normal and develop real innovation to the Insurance Industry! 
The Senior Data Scientist will assist in the identification and creation of cutting-edge data assets and predictive models that feed into Hastings&rsquo; market-leading pricing activities. This role is within a challenger product with a team comprising Data Scientists/Modellers as well as Analysts all championing alternative ways of risk analysis and market pricing.
We are looking for individuals to leverage new a new tech stack that enhances our potential model deployment capabilities. It is great that you are looking to build your career with us, please ensure you invest time in your application and where appropriate, use your internal network to help support your interest.
Key Responsibilities
<ul><li>Create and maintain analytical tools to support in the management of our risk portfolio.</li><li>
Develop best in-class models to predict claims outcomes, fraud and other risk KPIs.</li><li>
Engineer powerful new rating factors to be deployed into our rating algorithms.</li><li>
Identify, analyse and monetise new data sources.</li></ul>
Essential skills/experience:
<ul><li>Multiple track record of delivery of ML projects from EDA to deployment ,post deployment evaluation and model refreshing.</li><li>
Experience in liaising with multiple stakeholders to effectively frame problems and building solutions with effective commercial outcomes.</li><li>
Keen interest in emerging ML techniques and their commercial value.</li><li>
Proficiency in Python, SQL, Azure ML, Git, Azure Cloud Services</li><li>
Strong communication skills.</li><li>
Ability to work cross-functionally with Data Engineers, Data Scientists, Actuaries and Pricing Analysts.</li></ul>
Personal Attributes<ul><li>
Natural problem solver who loves building quality solutions to complex real-world challenges</li><li>
Focuses on the bigger picture but not afraid to get into the detail when necessary</li><li>
Dynamic, flexible, and delivery-focussed work ethic required to adapt to a fast paced environment</li><li>
Takes ownership and accountability for key projects and workstream</li></ul>
The interview process:
Our interview process involves the below:<ul><li>
Recruiter screening call</li><li>
1st stage interview &ndash; Initial Intro with hiring leader</li><li>
2nd interview (Technical) will include panel</li><li>
3rd Short call with Hiring Leader</li></ul>
As a Disability Confident employer, we&rsquo;re committed to ensuring our recruitment processes are fully inclusive &ndash; what this means to you is if you&rsquo;re applying for a job with us, you&rsquo;ll have fair access to support and adjustments throughout your recruitment journey. We also welcome applications through the Disability Confident Scheme (DCS).For more information on the DCS, please visit our inclusive business page on our careers website
Benefits: in addition to a competitive salary and &pound;5k car allowance you will also receive&hellip;
Flexible working &ndash; we champion a flexible hybrid working approach &ndash; please speak to your recruiter to discuss in more detail
Competitive bonus scheme - all colleagues are eligible for our annual 4Cs performance bonus
Physical wellbeing &ndash; as a Band 4 colleague, Hastings pay for you to receive private medical Insurance (also known as PMI). This gives you flexibility and convenience to see a specialist or consultant and allows you to decide when and where you will be seen
Financial wellbeing &ndash; as well as providing you with 4x your salary with our life assurance cover, income protection at no extra cost, and matched pension contributions up to 10%, we are proud to provide you with an award winning package which includes &ndash; discounts, cashback, free independent mortgage advice and free access to financial wellbeing support
Mental wellbeing programme &ndash; we have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs
There's more! &ndash; 27 days annual leave + bank holidays, with the option to buy or sell one of your weeks, access to our health care cash back plans, dental plans, discounted health assessments, Cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more &hellip;.
Join us and you&rsquo;ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company and community. As one of our colleagues, you&rsquo;ll be helping to drive our growth, so in return, we&rsquo;ll give you all the support, training and development you need.
Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we&rsquo;ll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve.
At Hastings Direct, we&rsquo;re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status. Please also note that we have a thorough referencing process, which includes credit and criminal record checks.
At Hastings Direct, we&rsquo;re committed to creating an inclusive environment where everyone has the opportunity to succeed. If you require any reasonable adjustments during the recruitment process, we encourage you to be open with us. Our recruitment team is here to provide the support you need to ensure a fair and accessible experience for all.
Job posting end date:</div>

Senior Data Scientist - Pricing

<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

Digital Waffle

<div>
 
 
 Senior Data Scientist | Data, Python, Science
 
 
 
 
 
 
 Senior Data Scientist with previous experience using Python is sought after by one of the UK&rsquo;s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform.
 
 
 
 
 
 For this position, they are looking for applicants with the following skillset:
 
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 A passion for clean data/statistics
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 At least 3 years&rsquo; previous experience as a data scientist
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 Python skills/experience
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 Comfortable in an Agile environment
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 Knowledge of GitHub
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 Interest in gaming/esports
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 Previous experience with machine learning models and established statistics
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 </ul>
 
 
 
 
 In return, they can offer:
 
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 A salary of up to &pound;85k (depending on experience)
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 A generous training/personal development budget
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 Transport contributions
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 Flexible working hours
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 A great list of perks in a brand-new office (when you are in the office)
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 </ul>
 
 
 
 
 If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!
 
 
 
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