data scientist

Digital Waffle

<div>
 <p>
  <strong>
   Senior Data Scientist | Data, Python, Science
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  For this position, they are looking for applicants with the following skillset:
 </p>
 <ul>
  <li>
   A passion for clean data/statistics
  </li>
  <li>
   At least 3 years&rsquo; previous experience as a data scientist
  </li>
  <li>
   Python skills/experience
  </li>
  <li>
   Comfortable in an Agile environment
  </li>
  <li>
   Knowledge of GitHub
  </li>
  <li>
   Interest in gaming/esports
  </li>
  <li>
   Previous experience with machine learning models and established statistics
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  In return, they can offer:
 </p>
 <ul>
  <li>
   A salary of up to &pound;85k (depending on experience)
  </li>
  <li>
   A generous training/personal development budget
  </li>
  <li>
   Transport contributions
  </li>
  <li>
   Flexible working hours
  </li>
  <li>
   A great list of perks in a brand-new office (when you are in the office)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  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!
 </p>
 <p>
 </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>


LABOUR PARTY

<div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job description</b></h2><div><p><b>
Role: Data Scientist</b></p><p><b>
Salary: &pound;54,673.46 (gross) per annum inclusive of London Weighting, with a fixed sum allowance of &pound;1,195.
</b></p><p><b>Current employees in banding 36 will maintain their existing salary.</b></p><p><b>
Location: Head Office - London</b></p><p><b>
Duration: Permanent</b></p><p></p><p><br>
The Labour Party is looking to recruit a Data Scientist. The post-holder will be responsible for supporting the work of the party in the analysis of voter behaviour, elections and campaigning, to contribute to Labour&rsquo;s political and organisational strategies through the use of data analysis, and lead on the measurement and reporting of campaign progress and campaign effects.</p><p></p><p><br>
The successful candidate will have:</p><br>
<p></p><ul><li>
Strong understanding of statistical modelling, with a minimum of degree-level statistical understanding, or equivalent professional experience</li><li>
Strong understanding of polling methodology and how to use to polling to answer political questions.</li><li>
Experience of conducting analysis and reporting on political data and polling and producing outputs like reports, visualisations and dashboards for stakeholders.</li><li>
Ability to understand how data on voters, campaigns and elections can be used to drive strategic decision making</li></ul><p></p><p><br>
The Labour Party&rsquo;s standard working arrangement is that all employees based in headquarters in London/Newcastle attend their contracted office four days per week, Monday to Thursday. Home working is only authorised on Fridays.</p><p></p><p><br>
The deadline for applications is <b>12 July 2026.</b></p><p></p><p><b><br>
The Labour Party values equality and diversity, and welcomes applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marriage and civil partnership, or pregnancy and maternity.</b></p></div></div></div></div></div></div><p></p>

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>

Lunar Energy

<div><p>At Lunar Energy, we're on a mission to transform the way we power our homes by building an ecosystem of all-electric products, starting with a next-generation home battery system and a cloud PaaS to manage large fleets of DER assets. Comprising a team of visionary entrepreneurs and dedicated technology and industry experts, we're united by our shared vision of deploying and building products to electrify homes that are connected through an integrated software platform.</p>
<p>
We are looking for a Staff Data Scientist to join the software team in the UK.</p>
<p><b>
Responsibilities:</b></p>
<ul>
<li>Building optimisation, forecasting and market participation algorithms to trade DER fleets in wholesale markets.</li>
<li>Modelling DER physical behaviour to connect control with market participation.</li>
<li>Operating large DER fleets in real time.</li>
<li>Quantifying uncertainty in asset behaviour and financial risk across strategies.</li>
</ul>
<p><b>Your key skills &amp; experience:</b></p>
<ul>
<li>5+ years' experience as a Quantitative Developer, Data Scientist, Risk Analyst, or in a related field.</li>
<li>A good understanding of formal methods in quantitative finance.</li>
<li>A degree, MSc, or PhD in a quantitative field such as physics, mathematics, or statistics.</li>
<li>Professional experience with forecasting, optimisation, signal processing, control, and decision-making algorithms.</li>
<li>Professional experience with machine learning algorithms.</li>
<li>Extensive experience in one of Python, Julia, or OCaml, along with relevant libraries (e.g. pandas, TensorFlow, NumPyro).</li>
<li>Extensive experience with SQL and proficiency working with large datasets.</li>
<li>You love working in a smaller team where you can see the impact of your work.</li>
<li>You are a first-principles thinker with intellectual curiosity, a love of learning, and an openness to changing your mind when given new information.</li>
<li>You are autonomous and enjoy managing your own workload and deadlines.</li>
</ul>
<p><b>Desirable skills:</b></p>
<ul>
<li>Professional experience with Bayesian modelling.</li>
<li>Software architecture experience.</li>
<li>Experience with the functional programming paradigm.</li>
<li>Experience with TypeScript.</li>
<li>Professional experience in the energy, trading, or commodities sector.</li>
<li>Experience with Unix-like operating systems.</li>
</ul>
<p><b>Joining us gives you:</b></p>
<ul>
<li>Competitive Compensation: Enjoy a competitive salary and stock options package.</li>
<li>Healthcare Benefits: Access to a private Medical Insurance scheme through BUPA (medical history disregarded).</li>
<li>Wellbeing Perks: A wellbeing and lifestyle benefits plan through Medicash.</li>
<li>Financial Security: 5% employer contributions pension matching.</li>
<li>Investment in Your Growth: A budget of &pound;1,000 per financial year for work-related training and an allowance of 4 training days.</li>
<li>Eco-Friendly Commuting: Participate in the Cycle To Work scheme and benefit from the Workplace Nursery benefit.</li>
<li>Work Setup Support: Receive &pound;200 upon joining for remote work setup.</li>
<li>Mental Health Support: Access to Spill - a Mental Health Support platform.</li>
<li>Family-Focused Benefits: Enhanced Maternity and Paternity Pay.</li>
<li>Time Off: 25 days of annual holiday entitlement plus 8 Bank Holidays.</li>
<li>Flexible Work Arrangements: Enjoy flexible start and finish times, with the option for fully remote working or a hybrid setup, depending on your preferences.</li>
</ul>
<p><b>Duration: </b>Full-time</p>
<p><b>
Location:</b> Fully remote work within GMT+/-2 time zones (conditions apply). You're also welcome to work from our office in Liverpool Street, London (UK), as frequently as you desire.</p>
<p><b>
Inclusivity Matters: </b>Lunar Energy is committed to being an equal opportunities employer, welcoming applications from individuals regardless of their race, gender, ethnicity, disability, religion/belief, sexual orientation, gender identity or expression, nationality, age, or social background. We actively encourage applications from underrepresented and minority groups, and we do not filter applications by university background, welcoming those who have taken alternative educational and career paths.</p>
<p>
Join Lunar Energy and be a part of the future of sustainable home energy. Make an impact, grow your expertise, and contribute to a cleaner, more eco-conscious world. Apply now!</p></div>

Staff Data Scientist

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>

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 404+ Data scientist in London this July. Find roles across top companies and apply now to boost your career.

404 data scientist jobs In London

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Senior Data Scientist