analytical data scientist

The AA

<div><h3 class="jobSectionHeader"><b>Company Description/ Business Unit</b></h3><p><b>
Location: London (hybrid working 3 office days per week)</b></p>
<p><b>
Employment Type: Permanent, full time</b></p>
<p><b>
Additional Benefits: Annual Bonus</b></p>
<p>
Think the AA is just about roadside assistance? Think again.</p>
<p>
For over a century, we've been evolving and adapting. Today, as the nation's leading motoring organisation, we offer a wide range of products and services to millions of customers. From roadside assistance to home and motor insurance, and the latest driving technologies, we have it all. As we continue to expand, diversify, and modernise, joining us as a <b>Data Scientist </b>means you'll play a crucial role in our success and be part of this exciting motoring journey.</p>
<p>
Our Chief Operating Office (COO) are the backbone of The AA, providing both stability and structure to support growth and innovation. We are the drivers of change.</p>
<p>
#LI-Hybrid</p><h3 class="jobSectionHeader"><b>
This is the job</b></h3><p>
Data is one of the AA&rsquo;s biggest opportunities, and we are investing in the tools, platforms and AI capability to use it better. As a <b>Data Scientist</b>, you will help us turn complex data into practical solutions that improve how we forecast demand, optimise workforce deployment and support better decisions across our roadside operation.</p>
<p>
This role is particularly focused on demand and supply forecasting, using machine learning to help ensure the right patrol capability is available in the right place at the right time. You will work on real operational challenges linked to national workforce planning, resource optimisation, customer demand, service levels and operational performance.</p>
<p>
We are looking for someone who enjoys solving complex, real-world problems with data. You may have gained experience in organisations with large field-based, mobile or nationally deployed workforces, such as logistics, delivery, utilities, transport, airlines, emergency services, mobility or roadside operations. You will bring strong analytical thinking, practical data science capability and the confidence to translate technical insight into meaningful recommendations that help the business make better operational decisions.</p><h3 class="jobSectionHeader"><b>
What will I be doing?</b></h3><ul>
<li>Build and deploy statistical models and machine learning solutions to support forecasting, product development, value driver analysis and operational performance.</li>
<li>Use data mining, modelling and algorithmic approaches, including AI and LLM-enabled techniques where appropriate, to solve complex business problems.</li>
<li>Work with data, engineering, architecture and AI Centre of Excellence colleagues to design and embed scalable algorithms into AA platforms, products and channels.</li>
<li>Analyse trends, evaluate scenarios, assess risks and uncover insight that supports better business and customer outcomes.</li>
<li>Explore, onboard and use relevant data sources, ensuring data is appropriate, reliable and aligned to good data governance practice.</li>
<li>Communicate findings clearly through presentations, workshops and stakeholder conversations, translating technical insight into meaningful business recommendations.</li>
</ul><h3 class="jobSectionHeader"><b>What do I need?</b></h3><p>
We are looking for someone who can bring:</p>
<ul>
<li>Experience applying data science, machine learning or advanced analytics to demand forecasting, supply forecasting, workforce planning or operational optimisation.</li>
<li>Strong capability in Python, SQL and statistical modelling, with experience building practical models that support business decision making.</li>
<li>Experience working with complex operational data, ideally linked to mobile workforces, field operations, logistics, transport, delivery, utilities, emergency services, airlines, mobility or roadside operations.</li>
<li>The ability to turn ambiguous operational challenges into clear analytical questions, scalable models and actionable recommendations.</li>
<li>Strong communication skills, with the confidence to explain complex analysis clearly to technical and non-technical stakeholders.</li>
<li>An understanding of responsible data use, data quality and governance, with exposure to Databricks, Git, Jira, ML Ops, feature stores or data pipelines being beneficial.</li>
</ul><h3 class="jobSectionHeader"><b>Additional information</b></h3><p>
We&rsquo;re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you&rsquo;ll have access to a range of benefits including:</p>
<ul>
<li>25 days annual leave plus bank holidays + holiday buying scheme</li>
<li>Worksave pension scheme with up to 7% employer contribution</li>
<li>Free AA breakdown membership from Day 1 plus 50% discount for family and friends</li>
<li>Discounts on AA products including car and home insurance</li>
<li>Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more</li>
<li>Company funded life assurance</li>
<li>Diverse learning and development opportunities to support you to progress in your career</li>
<li>Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family</li>
</ul>
<p>Plus, so much more!</p>
<p>
We&rsquo;re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.</p>
<p>
#LI-HH</p></div>

Data Scientist

LAW CHOICE RECRUITMENT

<div>
 <p>
  <strong>
   Data Scientist &ndash; Leading Law Firm
  </strong>
 </p>
 <p>
  A leading law firm is seeking a talented Data Scientist to join its growing data and analytics capability. This is a unique opportunity to work at the intersection of law, data and technology&mdash;helping drive smarter decision-making, improve client outcomes, and unlock the value of data across the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <ul>
  <li>
   Develop and deploy data-driven solutions to support legal and business teams
  </li>
  <li>
   Analyse complex datasets to identify trends, risks and opportunities
  </li>
  <li>
   Build predictive models and machine learning solutions to enhance decision-making
  </li>
  <li>
   Collaborate with stakeholders across the firm to translate business challenges into data solutions
  </li>
  <li>
   Contribute to the firm&rsquo;s data strategy, innovation initiatives and digital transformation
  </li>
  <li>
   Support the development of dashboards and visualisations to communicate insights clearly
  </li>
  <li>
   Ensure data quality, governance and best practices are upheld
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Partner with legal, finance and business services teams to deliver actionable insights
  </li>
  <li>
   Design and implement statistical and machine learning models
  </li>
  <li>
   Work with structured and unstructured data from multiple internal and external sources
  </li>
  <li>
   Optimise data pipelines and workflows for efficiency and scalability
  </li>
  <li>
   Present findings to senior stakeholders in a clear and compelling way
  </li>
  <li>
   Stay up to date with emerging data science tools, techniques and technologies
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About You
  </strong>
 </p>
 <ul>
  <li>
   Proven experience as a Data Scientist or in an advanced analytics role
  </li>
  <li>
   Strong programming skills (e.g. Python, R, SQL)
  </li>
  <li>
   Experience with machine learning, statistical modelling and data visualisation tools
  </li>
  <li>
   Ability to translate complex data into meaningful business insights
  </li>
  <li>
   Strong communication and stakeholder engagement skills
  </li>
  <li>
   Experience within professional services or a regulated environment is advantageous
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Apply?
  </strong>
 </p>
 <ul>
  <li>
   Opportunity to shape data-driven decision-making within a leading law firm
  </li>
  <li>
   Work on high-impact, real-world projects with senior stakeholders
  </li>
  <li>
   Collaborative and forward-thinking environment
  </li>
  <li>
   Exposure to cutting-edge tools, innovation and digital transformation initiatives
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Apply now
  </strong>
  to be part of a team transforming how data drives performance in the legal sector.
 </p>
</div>


Experian

<div><div>Role Overview</div><br>
<p>Internal Grade D/EB8</p><p><b>
Data Scientist &ndash; GenAI &amp; AI Engineering</b></p><p>
The Generative AI Centre of Expertise (GenAI CoE) at Experian helps teams across Experian's UK business. It improves products using Generative AI, machine learning, and automation. The centre has a focus on responsible, measurable impact.</p><p><b>
Who is a GenAI CoE Data Scientist?</b></p><p>
This is a mid-level, hybrid role for a data scientist who enjoys hands-on work and wants to grow into AI engineering. You'll report into the Head of Machine Learning and work across two connected areas:</p><ul><li><b>
Experimentation and evaluation (data science):</b> framing problems, designing experiments, defining success metrics, analysing results, and understanding model/system behaviour in product contexts</li><li><b>
AI engineering:</b> build GenAI systems (prototypes through to production-ready components), supported by experienced colleagues</li></ul><p>
A big part of the job is choosing the <i>right</i> approach &mdash; when GenAI is valuable, and when simpler analytics or ML is the better answer.</p><p><b>
What you'll do</b></p><ul><li>
You will work with product, engineering, and business teams to turn fuzzy ideas into clear problem statements, assumptions, and success metrics</li><li>
You will design and run experiments to evaluate GenAI systems, including baseline comparisons, error analysis, and understanding failure modes</li><li>
Help refine GenAI solutions, using modern development practices and AI-assisted coding tools to iterate quickly</li><li>
Communicate results, including trade-offs, limitations, and recommendations for what to do next</li><li>
Share insights with the team and spend ~10% of your time on learning and knowledge sharing</li></ul><br>
<br>
<div>Experience and Skills</div><br>
<ul><li>You have experience working as a data scientist (or in a similar role), applied machine learning, and Python programming.</li><li>
You are comfortable working with incomplete information, and enjoy figuring things out through exploration and experimentation.</li><li>
You are keen to develop broader skills across AI engineering and product-focused delivery.</li><li>
You think beyond your scope: you join up product, data, and engineering context to spot issues early and improve decisions.</li></ul><p></p><p><b><br>
It would be great if you also have</b></p><ul><li>
Exposure to software engineering practices such as version control, testing, or object-oriented programming.</li><li>
You will understand how companies deploy or run AI systems in practice through cloud services or containerised environments.</li><li>
Experience explaining technical concepts or analysis to non-technical partners.</li></ul><br>
<br>
<div>About Experian</div><br>
<p>Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.</p><p>
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.</p><p>
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.</p>
<p>Benefits package includes:</p><ul><li>
Hybrid working - 40% office based</li><li>
Great compensation package and discretionary bonus plan</li><li>
Core benefits include pension, bupa healthcare, sharesave scheme and more!</li><li>
25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.</li></ul><p>
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward &amp; recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces&trade; 2024 (Fortune Top 25), Great Place To Work&trade; in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.</p><p>
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.</p><p>
#LI-Hybrid #LI-ST1</p><p></p><p><br>
Experian Careers - Creating a better tomorrow together</p></div><p></p>

Data Scientist – GenAI & AI Engineering

Lloyd's

<div><div><p>Lloyd&rsquo;s is the world&rsquo;s leading insurance and reinsurance marketplace. We share the collective intelligence and risk sharing expertise of the market&rsquo;s brightest minds, working together for a braver world.</p></div><p></p><div><p><br>
Our role is to inspire courage, so tomorrow&rsquo;s progress isn&rsquo;t limited by today&rsquo;s risks.</p></div><p></p><div><p><br>
Our shared values: we are brave; we are stronger together; we do the right thing; guide what we do and how we act. If you share our values and our passion to build a future that&rsquo;s more sustainable, resilient and inclusive, you&rsquo;ll find a home at Lloyd&rsquo;s &ndash; build a braver future with us.</p></div><p></p><p>
Lloyd&rsquo;s are recruiting a Data Scientist, Portfolio Analytics. You will deliver analytics, tools and insights to enable effective risk-based oversight and drive continuous improvement in market performance.</p><p></p><p><b>
Principal Accountabilities</b></p><p></p><p>
Work with the Senior Manager and colleagues in Portfolio Analytics to develop methodologies, tools
<br>
and controls that allow Lloyd&rsquo;s to efficiently and effectively oversee the market.</p><p></p><p>
Lead analytical and data related projects that help manage the performance of the Lloyd&rsquo;s market</p><p>
Develop new methods for understanding performance to enable better forward-looking
<br>
assessments.</p><p></p><p>
Develop methods of measuring and targeting a sustainable portfolio mix for Lloyd&rsquo;s taking into account risk vs reward and the Market&rsquo;s strategic direction. Drive increased insight of Lloyd&rsquo;s portfolio composition and identify areas for oversight and opportunity through quantification, modelling and original analysis and further development of the Lloyd&rsquo;s Model Portfolio.</p><p></p><p>
Help Portfolio Analytics to become to go to place for data and analytics in Markets.</p><p></p><p>
Act as data subject matter expert for the market data returns used by Underwriting to assess
<br>
performance. Leads on initiatives to improve data quality, insight, alignment and rationalisation across Underwriting.</p><p></p><p>
Manage and lead the automation of quarterly BAU processes.</p><p></p><p>
Risk Based Oversight &ndash; which analyses performance trends by class of business.</p><p></p><p>
Quarterly Business Review &ndash; which analyses performance by Syndicate.</p><p></p><p>
PIP Triage &ndash; which analyses underperforming classes.</p><p></p><p>
Underwriting Risk Appetite reporting which monitors whole market performance.</p><p></p><p>
MI for Markets Executives</p><p></p><p>
Contribute to cross-functional collaboration, in particular with Finance, Predictive Analytics, Capital
<br>
and Data.</p><p></p><p><b>
Skills Knowledge and Experience</b></p><p></p><p>
Relevant work experience in an analytical role in insurance or regulatory environment.</p><p></p><p>
Engagement with senior stakeholders and managing expectations.</p><p></p><p>
Driving change, building models, introducing controls, improving processes, implementing systems,
<br>
encouraging adoption and working cross functionally.</p><p></p><p>
Project management.</p><p></p><p>
Data manipulation and analysis in R and or Python.</p><p></p><p>
Building visualisation tools such as Qliksense, Tableau and/or Power BI.</p><p></p><p>
Intermediate to advanced experience in data management tools such as Business Objects, SQL.</p><p></p><p>
Intermediate to advanced knowledge of statistical and data science techniques including modern statistical languages.</p><p></p><p>
Ability to structure and distil technical information concisely and clearly and explain to a variety of
<br>
stakeholders.</p><p></p><p>
Communication and stakeholder management skills.</p><p></p><p>
Problem solving &amp; decision making.</p><p></p><p>
High attention to detail.</p><p></p><div><p><br>
Diversity and inclusion are a focus for us &ndash; Lloyd&rsquo;s aim is to build a diverse, inclusive environment that reflects the global markets we work in. One where everyone is treated with dignity and respect to achieve their full potential. In practice, this means we are positive and inclusive about making workplace adjustments, we offer regular health and wellbeing programmes, diversity and inclusion training, employee networks, mentoring and volunteering opportunities as well as investment into your professional development. You can read more about diversity and inclusion on our website.</p></div><p></p><div><p><br>
We understand that our work/life balance is important to us all and that a hybrid of working from the office and home can offer a great level of flexibility. Flexible working forms part of a total reward approach which offers a host of other benefits over and above the standard offering (generous pension, healthcare, wellbeing etc). These include financial support for training, education &amp; development, a benefit allowance (to spend on our flexible benefits such as gym membership, dental insurance, extra holiday or to partake in our cycle to work scheme), employee recognition scheme and various employee discount schemes.</p></div><p></p><div><p>
By choosing Lloyd's, you'll be part of a team that brings together the best minds in the industry, and together with our underwriters and brokers, we create innovative, responsive solutions allowing us to share risk and solve complex problems.</p></div><p></p><p>
Should you require any additional support with your application, or any adjustments, please click the following link;</p><p></p><p>
https://cleartalents.com/apply/lloyds-msa1645695881</p><p></p><h3 class="jobSectionHeader"><b><i>
Please note, clicking on this link does not register your application for the vacancy</i></b></h3></div>

Data Scientist (Portfolio Analytics)

Prima

<div><p>Are you looking for a new challenge?</p>
<p>
Fancy helping us shape the future of motor insurance?</p>
<p>
Prima could be the place for you.</p>
<p>
Since 2015, we&rsquo;ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we&rsquo;ve quickly become the number one online motor insurance provider. In fact, we&rsquo;re trusted by over 5 million drivers. And now we&rsquo;re expanding to help millions more drivers in the UK and Spain.<br>
</p><div></div><br>
<div>To help fuel that growth, we&rsquo;re looking for Data Scientists to join our Pricing &amp; Underwriting Department, the strategic engine behind Prima's growth.</div>
<div></div>
<div>As part of this global team, you&rsquo;ll play a pivotal role in shaping our strategy and strengthening our competitive edge. Using data, analytical thinking, machine learning and business acumen, you&rsquo;ll help predict the future and set the right prices, keeping our offering both attractive and sustainable. You&rsquo;ll work with your data science tools and skills to bring real-world impact, collaborating with cross-functional teams to turn insights into action and fuel innovation across the company and its different branches.</div>
<div></div>
<h3 class="jobSectionHeader"><b>Excited to make an impact? Here are the details.</b></h3>
<h3 class="jobSectionHeader"><b>What you&rsquo;ll do</b></h3><div>
<ul><li>Leverage data to identify risks, opportunities and key pricing drivers, turning complex information into actionable insights that influence strategic decision making;</li>
<li>Leverage Machine Learning and advanced analytics to develop risk and pricing models that power real-time insurance pricing for millions of customers;</li>
<li>Contribute directly to the company&rsquo;s growth and long-term success through innovative modelling, experimentation and commercially impactful insights.</li>
</ul>
</div><div></div><h3 class="jobSectionHeader"><b>What we&rsquo;re looking for</b></h3><div>
<ul><li>Strong academic background in Mathematics, Physics, Engineering (Maths, Physics and Computer Science specialisations), Data Science, Computer Science or Statistics;</li>
<li>Strong quantitative, logical and analytical abilities, a solid foundation in statistics, probability and advanced analytics, and a curious, proactive and innovative mindset focused on solving complex problems;</li>
<li>Fluency in English, both spoken and written.</li>
</ul>
</div><div></div><h3 class="jobSectionHeader"><b>Nice-to-Have</b></h3><div>
<ul><li>Strong communication skills, with the ability to challenge assumptions, and drive new ideas;</li>
<li>Possess a solid foundation in code development and machine learning, ideally in Python;</li>
<li>Know how to create, manipulate and analyse large datasets.</li>
</ul>
</div><div></div><h3 class="jobSectionHeader"><b>Why you'll love it here</b></h3>
<p>
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.</p>
<p>
<b>Competitive compensation: </b>Benefit from competitive salaries, starting from &pound;80k up to &pound;160k, with clear opportunities to grow as you do.</p>
<p><b>
Work Your Way:</b> Enjoy full flexibility &ndash; work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.</p><div></div><p><b><br>
\uD83C\uDFC1 Grow with us:</b> We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.</p>
<p><b>
\uD83C\uDF08 Thrive and perform:</b> Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.</p>
<p>
Think you&rsquo;re a match? Apply now.</p><br>
<p></p>
<p>
At Prima, we celebrate uniqueness. If you don&rsquo;t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.</p>
<p><i>
Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at accessible.recruiting@prima.it. Let&rsquo;s build the future of insurance, together.</i></p></div>

Axle Energy

<div><h2 class="jobSectionHeader"><b>About Us</b></h2><p>
At Axle Energy, we&rsquo;re building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets.</p><p>
We&rsquo;re building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we&rsquo;re growing the team to meet customer demand.</p><p>
We&rsquo;re proud to be supported by world-leading investors, including Accel.</p><p>
Read more about what we&rsquo;re building <b>here</b>.</p><p></p><h2 class="jobSectionHeader"><b>
About the role</b></h2><p>
We're hiring full stack data scientists who love to get into the nitty gritty of the domain, have an instinct for commercial value, and own the entire process from data exploration to production.</p><ul><li><p>
Building, optimising, and deploying models that operate reliably at scale</p></li><li><p>
Developing a deep understanding of energy markets, grid dynamics, and trading strategies</p></li><li><p>
Taking ownership of the full lifecycle of your work, from research and prototyping through to production</p></li><li><p>
Writing clean, production-quality code and contributing to robust, scalable systems</p></li><li><p>
Working beyond notebooks, turning ideas into real-world, productionised solutions</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
It&rsquo;d be nice if you could bring:</b></h2><ul><li><p>
Knowledge of the electricity system, specifically power trading</p></li><li><p>
Comfort speaking to clients (we&rsquo;re a small team and wear many hats)</p></li><li><p>
Familiarity with time-series data</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Tech stack</b></h2><p>
We build in Python + React for the frontend (less relevant for this role)</p><p>
Everything we build lives in Docker, for minimal cross-platform faff and maximal reproducibility.<br>
Unlimited Claude Code tokens - we are aggressive users and explorers of AI, and encourage everybody to reconsider their workflows regularly</p><p>
We deploy on GCP</p><p></p><h2 class="jobSectionHeader"><b>
What's in it for you</b></h2><p>
A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from &pound;75k&ndash;&pound;200k (base salary + equity).
</p><p>We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.</p><p>
Enhanced parental leave to support you through life's meaningful moments.</p><p>
Bi-annual retreats to strengthen team connection &amp; shared purpose.</p><p>
Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office.</p><p>
The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world.</p><p></p><p>
We are <i>extremely</i> keen to build a diverse company, and we&rsquo;re particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you&rsquo;re motivated by our mission, please do reach out, even if you feel you might not &lsquo;check all the boxes&rsquo;.</p><p></p><h2 class="jobSectionHeader"><b>
Interview process</b></h2><ul><li><p>
Initial interview</p></li><li><p>
Take-home exercise</p></li><li><p>
Final interview (in-person)</p></li><li><p>
Offer, references, and welcome to the team!</p></li></ul><p>
Compensation Range: &pound;75K - &pound;200K</p></div>

Data Science

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

Explore 315+ Analytical data scientist in London this July. Find roles across top companies and apply now to boost your career.

315 analytical data scientist jobs In London

Data Scientist

Data Scientist

Data Scientist – GenAI & AI Engineering

Data Scientist (Portfolio Analytics)

Data Scientist

Data Science

Senior Data Scientist