predictive modeler

Data Idols

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

Senior Data Scientist

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>


Data Scientist

iwoca

<div>
 Data Scientist - Acquisition Technology
 <br/>
 <br/>
 Hybrid in London, United Kingdom
 <br/>
 <br/>
 <strong>
  The Company
  <br/>
  <br/>
 </strong>
 Small businesses move fast. Opportunities often don&rsquo;t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that&rsquo;s as flexible and responsive as they are.
 <br/>
 <br/>
 That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.
 <br/>
 <br/>
 We&rsquo;ve already cleared the way for 100,000 businesses with more than &pound;4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.
 <br/>
 <br/>
 <strong>
  The function
  <br/>
  <br/>
 </strong>
 iwoca's Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets.
 <br/>
 <br/>
 <strong>
  The team
  <br/>
  <br/>
 </strong>
 The DE Acquisition Tech team sits at the heart of iwoca&rsquo;s growth strategy. Its mission is to help Marketing and Sales reach and engage small businesses of every kind, showing how our finance can empower their ambitions. The team enables smarter, data-driven decision-making across paid and organic channels as well as direct sales. By embedding engineers, product managers, designers, and data scientists together, the team acts as a self-sufficient unit, shaping strategies that deliver measurable commercial impact.
 <br/>
 <br/>
 <strong>
  The role
  <br/>
  <br/>
 </strong>
 As a Data Scientist in the DE Acquisition Tech team, you&rsquo;ll shape how iwoca grows. You&rsquo;ll design and evaluate experiments, build statistical and predictive models, and turn complex data into clear insights. You&rsquo;ll own projects end to end while working closely with stakeholders to align your work with business goals. The models and insights you deliver will directly influence how we invest in sales and marketing, giving you visibility across the company and impact on customer acquisition.
 <br/>
 <br/>
 <strong>
  The projects
  <br/>
  <br/>
 </strong>
 You&rsquo;ll shape projects that:
 <br/>
 <br/>
 <ul>
  <li>
   Run controlled experiments across paid and organic channels, generating evidence on what drives conversions.
  </li>
  <li>
   Build and refine frameworks for Paid Search and Paid Social, enabling smarter bidding and more effective performance.
  </li>
  <li>
   Develop statistical attribution models to give clear insight into channel impact.
  </li>
  <li>
   Design predictive lead scoring models that help target valuable prospects more effectively.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Requirements
  <br/>
  <br/>
 </strong>
 Essential:
 <br/>
 <br/>
 <ul>
  <li>
   Expertise in probability and statistics, gained through a quantitative field such as Mathematics, Physics, Statistics or similar.
  </li>
  <li>
   Ability to understand business context and translate data into actionable insights that guide decisions.
  </li>
  <li>
   Proficiency with data manipulation and modelling tools such as pandas, statsmodels or R.
  </li>
  <li>
   Experience with scientific computing tools such as NumPy, SciPy, R, Matlab, Mathematica or BLAS.
  </li>
  <li>
   Ability to work autonomously and manage projects end to end, from framing the question to delivering outcomes.
  </li>
  <li>
   Ability to communicate clearly in writing and speech, adapting technical detail to suit different audiences.
  </li>
  <li>
   A commitment to using modern tools effectively &ndash; including AI &ndash; to maximise quality, speed, and rigour, while retaining responsibility for accuracy and outcomes.
   <br/>
   <br/>
  </li>
 </ul>
 Bonus:
 <br/>
 <br/>
 <ul>
  <li>
   Understanding of Bayesian statistics, including experience or interest in applying hierarchical Bayesian models.
  </li>
  <li>
   Experience building machine learning models from scratch, including creating custom optimisers.
  </li>
  <li>
   Knowledge of stochastic processes and related mathematical techniques.
  </li>
  <li>
   Experience working with Python, our primary programming language.
  </li>
  <li>
   Understanding of financial concepts such as deterministic cash flows.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The salary
  <br/>
  <br/>
 </strong>
 We expect to pay from &pound;60,000 - &pound;90,000 for this role. But, we&rsquo;re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance reviews.
 <br/>
 <br/>
 <strong>
  The culture
  <br/>
  <br/>
 </strong>
 At iwoca, we prioritise a culture of learning, growth, and support, and invest in the development of our team members. We value thought and skill diversity, and encourage people to explore new areas of interest, adopt better tools (including AI), and apply sound judgement so our products and decisions improve over time.
 <br/>
 <br/>
 <strong>
  The offices
  <br/>
  <br/>
 </strong>
 We put a lot of effort into making iwoca a great place to work:
 <br/>
 <br/>
 <ul>
  <li>
   Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.
  </li>
  <li>
   Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Flexible working hours.
  </li>
  <li>
   Medical insurance from Vitality, including discounted gym membership.
  </li>
  <li>
   A private GP service (separate from Vitality) for you, your partner, and your dependents.
  </li>
  <li>
   25 days&rsquo; holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.
  </li>
  <li>
   A one-month, fully paid sabbatical after four years.
  </li>
  <li>
   Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
  </li>
  <li>
   3% Pension contributions on total earnings.
  </li>
  <li>
   An employee equity incentive scheme.
  </li>
  <li>
   Generous parental leave and a nursery tax benefit scheme to help you save money.
  </li>
  <li>
   Electric car scheme and cycle to work scheme.
  </li>
  <li>
   Two company retreats a year: we&rsquo;ve been to France, Italy, Spain, and further afield.
   <br/>
   <br/>
  </li>
 </ul>
 And to make sure we all keep learning, we offer:
 <br/>
 <br/>
 <ul>
  <li>
   A learning and development budget for everyone.
  </li>
  <li>
   Company-wide talks with internal and external speakers.
  </li>
  <li>
   Access to learning platforms like Treehouse.
   <br/>
   <br/>
  </li>
 </ul>
 Useful links:
 <br/>
 <br/>
 <ul>
  <li>
   iwoca benefits &amp; policies
  </li>
  <li>
   Interview welcome pack
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: &pound;60K - &pound;90K
</div>


Data Scientist - Acquisition Tech Team

British Transport Police

<div>Job Introduction
<p><b>
Salary: </b>&pound;28,486.92 plus London Allowance &pound;4,613.61 (full-time equivalent), pro-rated for a 3-month period.</p><p><b>
Internship Duration:</b> 3 months, full-time</p><p><b>
Location: </b>Force Headquarters, London</p><p><b>
Type of Working Arrangement:</b> Blended approach of home and office-working. 2 days per week in the office and 3 days working from home</p><p><b>
Hours: </b>37 hours per week, 09am-5pm. 2 days per week in the office and 3 days working from home</p><p>
British Transport Police (BTP) is the national police force for the rail network throughout Great Britain. We are the &lsquo;Guardians of the Railway,&rsquo; putting passenger safety at the heart of what we do. Our values are simply: We Care, We Do the Right Thing, We Strive to Be Better Every Day, We Are One BTP, and We Are Proud to Protect. Join us and help create an environment where we can all be our best every day.</p><p></p><p><b><br>
The Opportunity:</b></p><p>
Are you passionate about using data to solve real-world problems and make a tangible difference to society?</p><p>
We are looking for a motivated and analytical Data Science Intern to join our Analytics &amp; Insight team. This is an exciting opportunity to work with complex policing datasets and contribute to projects that help keep communities safe.</p><p>
As a Data Science Intern, you will support the development of analytical products that help identify crime hotspots, understand patterns in demand, and provide evidence-based insights to operational and strategic decision-makers. You will also contribute to analytical work supporting Violence Against Women and Girls (VAWG) initiatives, helping to identify locations, emerging risks and opportunities for preventative interventions that can have the greatest impact.</p><p></p><p><br>
 <b>What you'll be doing:</b></p><ul><li>
Analysing large and complex policing datasets to identify trends, patterns and emerging risks.</li><li>
Developing hotspot analysis and predictive models to support targeted policing activity.</li><li>
Applying statistical and machine learning techniques to real-world operational challenges.</li><li>
Producing clear and engaging visualisations to communicate insights to a variety of audiences.</li><li>
Supporting the development of analytical products that inform operational and strategic decision-making.</li><li>
Working alongside data scientists, analysts and operational policing teams on live business problems.</li></ul><div></div><div><b><br>
</b><b>What you will gain:</b></div><p>
This placement offers an excellent opportunity to gain real-world experience in data science within a public-sector environment.</p><p>
You will work with genuine policing data and develop practical skills in data analysis, predictive modelling, statistics, geographic information systems (GIS), visualisation and evidence-based decision-making. You will gain experience applying analytical techniques to support crime prevention, problem-solving and resource deployment.</p><div>
The internship will also provide valuable insight into how analytical capability can be used to tackle crime, reduce harm and improve outcomes for communities. You will develop an understanding of how data-driven insights support operational policing and contribute to keeping the public safe.</div><div></div><p><b><br>
Who we are looking for:</b></p><p>
The ideal candidate will have:</p><ul><li>
Strong numerical and analytical skills.</li><li>
Experience using Python, SQL, R or similar analytical tools.</li><li>
An interest in statistics, machine learning and data visualisation.</li><li>
The ability to communicate technical concepts to non-technical audiences.</li><li>
Good problem-solving skills and a curious, inquisitive mindset.</li><li>
A passion for using data to solve real-world problems.</li></ul><div></div><div><br>
This placement offers a rare opportunity to apply data science techniques to real operational issues, helping to shape decisions that improve public safety. You will work alongside experienced analysts and data scientists, gain exposure to advanced analytical methods and build skills that are highly valued across both the public and private sectors.</div><p>
Most importantly, you will have the opportunity to see how data and evidence can be used to make a genuine difference&mdash;turning complex information into actionable insight that helps keep people safe and supports better outcomes for communities.</p><div></div><div><b><br>
Benefits:</b></div><ul><li>
Pro-rata annual leave entitlement for the duration of the placement</li><li>
A structured learning and development opportunity within a professional policing environment</li><li>
Dedicated supervision and support throughout the placement</li><li>
Exposure to a range of policing and corporate functions</li><li>
The opportunity to gain valuable experience and develop skills for future careers</li></ul><div></div><p><b><br>
</b><b>Additional Information:</b></p><p><b>
Vetting:</b> Successful applicants will be required to pass Recruitment Vetting (3 years minimum UK residency required), including a full background and financial disclosure. For more information and Top Tips, please see attached document.</p><p>
Applications will be via an up-to-date CV and online application form, as part of this application please outline how your skills and experience demonstrate your suitability for the role. AI can be a useful tool to spark ideas or help you organise your thoughts, but when it comes to your application, we want to hear from you, not an algorithm. What truly stands out to us are genuine stories, personal insights and the experiences that have shaped who you are. Authenticity matters - it helps us understand your motivations, your strengths and how you&rsquo;ll contribute to our team. So, use AI if it helps you get started, but let your own voice lead the way.</p><p><i>
Completed applications must be submitted by </i><b><i>11.59pm, 7th of July 2026.</i></b></p><p></p><p><b><br>
Inclusion &amp; Diversity:</b></p><p><b>
We are committed to building a workforce where everyone feels they belong.</b></p><p>
We welcome applications from people of all backgrounds, identities and lived experiences. Diversity strengthens our teams, improves our services and helps us better represent and support the communities we serve.</p><p>
We are proud to be an inclusive employer and strive to create a workplace that is fair, respectful and accessible to all. We actively work to challenge discrimination, remove barriers and ensure equity throughout our recruitment and employment practices.</p><p>
If you need any reasonable adjustments during the recruitment or selection process, please let us know - we are happy to support you. <b>Your talent, your potential, and your unique perspective matter here.</b></p><p>
For more information on Inclusion or the Disability Confident Scheme, please click the links Inclusion &amp; Diversity Disability Confident Scheme</p><p></p><p><b><br>
Join Us:</b><br>
Ready to take the next step in your career? At BTP, you&rsquo;ll have the opportunity to grow, make a real impact, and be part of something extraordinary.</p><p>
Find out why BTP could be the perfect fit for you - About Us - British Transport Police</p><p>
Curious about what life at BTP is really like? Hear directly from our people and discover what makes working here so rewarding. Explore real stories on our blog: Our Stories - British Transport Police</p><p>
For further information, please contact our Resourcing Team -RecruitmentTeam@btp.police.uk.</p></div>

Data Science Internship - 3 months

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Amazon Strategic Account Services (SAS) Tech Organization is looking for an Applied Scientist Applied Scientist who can autonomously drive scientific innovations from research to production, developing sophisticated AI solutions that serve both Amazon's global seller base and internal Marketplace Consultants. Working in a highly collaborative environment, you'll leverage expertise in machine learning, operations research, and statistics to translate theoretical advances in LLMs, probabilistic modeling, and optimization into practical applications. The role demands strong capabilities in prototyping and iterative improvement, bridging cutting models with real-world applications while maintaining scientific rigor and measurable business impact.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead the development of sophisticated AI solutions leveraging deep learning, LLMs, and advanced machine learning techniques to transform both seller operations and internal consultancy capabilities at scale</li><li>Define and drive long-term scientific vision for the organization, translating complex business challenges into innovative technical solutions that advance the state-of-the-art in applied machine learning</li></ul>
- Design and implement advanced ML architectures combining multiple learning paradigms - from reinforcement learning and causal inference to predictive modeling - to tackle critical marketplace challenges<br>
<ul><li>Architect next-generation recommendation and optimization systems that handle complex multi-dimensional constraints while maintaining robustness and interpretability at scale</li><li>Drive end-to-end development of AI applications from research through production, collaborating with engineering teams to ensure successful deployment and conducting rigorous A/B experiments to validate impact</li><li>Pioneer novel applications of foundation models and generative AI, developing sophisticated evaluation frameworks while maintaining Amazon's high standards for accuracy and reliability</li><li>Lead technical discussions across organizational boundaries, effectively communicating complex scientific concepts to diverse stakeholders while staying at the forefront of ML/AI research advancements</li></ul><br>
About the team<br>
What is Amazon Strategic Account Services (SAS)?<br>
The SAS team aims to accelerate the full potential of our Sellers, helping them to navigate the increasing complexity of the e-commerce space. Our team provides in-depth strategic consultancy using a data-driven, collaborative, and a Customer-focused approach to achieve commercial goals of Amazon Sellers.
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>PhD, or a Master's degree and experience in building models for business application</li><li>Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Track record of investigating, designing, and delivering innovative ML solutions that drive significant business impact</li></ul><br>
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.<br>
<br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Applied Scientist II, Strategic Account Services (SAS)

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)

Royal BAM Group

<div><div><div><h2 class="jobSectionHeader"><b>Building a sustainable tomorrow</b></h2>
</div><div><div><p>
What if your next step led further than you thought?<br>
With a reputation built over 150 years, BAM has the depth, scale and momentum to offer you more than a next step. We offer you a path. One that can take you across sectors, into leadership, or even around the world. We invest in development because we want our people to stay and grow. Wherever you want to go, we&rsquo;ll help you get there.</p></div><div><p>
BAM UK&amp;I are recruiting a UK &amp; I Data Director to join our Finance team from any UK office on a hybrid basis.</p></div><div><p>
The UK&amp;I Data Director for BAM UK &amp; Ireland is a senior role, responsible for the division&rsquo;s data strategy, governance, management and utilisation, focusing on turning data into a valuable company asset.</p></div><div><p>
The UK&amp;I Data Director will have the authority to recommend changes to divisional processes and, where appropriate, technology to achieve the above role objectives subject to BAM governance procedures.</p></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Making Possible</b></h2>
</div><div><p>
Senior executive leading enterprise data strategy, governance, and analytics for a major infrastructure contractor. Ensures data supports project delivery, financial performance, and regulatory compliance. Integrates project, cost, safety, people and environmental data to drive performance insight</p><p>
Degree in Data Science, Civil Engineering, Construction Management, or Business (often MSc/MBA) with a strong academic background and continuous professional development.</p><p>
Proven leadership of successful process and data transformation projects. Experience in managing and leading data management, reporting &amp; analytics teams. Proven success in developing enterprise-wide data and digital strategies within construction or infrastructure sectors. Demonstrated outcomes in improving project delivery, data quality, cost forecasting, and operational efficiency through data-driven decision-making.</p><p>
Deep understanding of European and UK data and construction standards &mdash; GDPR, ISO19650 (BIM), EU Taxonomy, CSRD, and national infrastructure digital frameworks. Ensures compliance with safety, environmental, and financial reporting requirements.</p><p>
Oversees integration of project, finance, procurement, and asset data across the enterprise. Fundamental understanding of core business processes, data and their associated technical solutions. Establishes data standards for cost control, planning, and performance reporting. Embeds automation and analytics in project controls and asset lifecycle management.</p><p><b>
Skills</b></p><p>
Works closely with project managers, finance leads, engineers, and IT to align data priorities with delivery and financial objectives. Works effectively as part of an executive team and is flexible to step in and assist whenever and wherever required.</p><p>
Champions digital transformation, automation, and process improvement across all project and corporate data workflows.</p><p>
Awareness of BIM, data governance, IoT data integration, cloud analytics, and AI applications in construction (e.g. predictive maintenance, safety analytics).</p><p>
Leads cultural change towards data-driven project management and decision-making.</p><p>
Supports upskilling in digital tools and data literacy.</p><p>
Working closely with the executive leadership especially the UK&amp;I Chief Operating Officer, Executive Director of Finance and the IT Director on data driven insights and strategic recommendations in a constructive, empowering and collaborative manner, examples may include data strategy, ROI of digital initiatives, and evidence-based performance management.</p><p>
Influences client and partner data collaboration standards.</p><p>
Creates clarity through dashboards, storytelling, and visual analytics; communicates data strategy across a dispersed and multidisciplinary workforce.</p><p>
Works effectively across all levels of the organisation to achieve shared goals and builds partnerships with technology vendors, joint venture partners, and clients to ensure interoperability and shared data value across the construction ecosystem.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Your team</b></h2>
</div><div><p>
This role can be based from any UK&amp;I office, with a hybrid working pattern of three days per week in the office.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What&rsquo;s in it for you?</b></h2>
</div><div><div>
In addition to an attractive salary we offer a significant benefits package which could include:<br>
<ul><li> Competitive salary</li><li> A wide range of family friendly policies</li><li> Private healthcare</li><li> Life assurance</li><li> 26 days holiday</li><li> 2 wellbeing days</li><li> 1 volunteering day</li><li> Personal and professional development</li><li> Flexible benefit pot</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
The application process</b></h2>
</div><div><p>
BAM is committed to ensuring a fully inclusive recruitment and onboarding process, so if at any time you feel we need to do something to make it more accessible to you, do not hesitate to speak with one of our team, and we will do our best to support you.</p><p>
For more information or an informal conversation about this exciting career opportunity please contact Paul Howes, Recruitment Manager paul.howes@bam.com</p><p>
Closing date 15th July</p><p>
IND1</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What do you bring to the role?</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>About BAM</b></h2>
</div><div><p><i>
Building a sustainable tomorrow. That&rsquo;s our mission and our promise at BAM. It&rsquo;s how we engineer vital infrastructure and construct high-quality buildings as one of the largest construction companies in Europe.</i></p><p><i>
We strive to create an environment where everybody feels welcome and valued. We&rsquo;re on an exciting journey to employ the best talent to join us regardless of social background, race, colour, religion, national or ethnic origin, sexual orientation, gender identity or expression, age, disability or other characteristics.</i></p></div></div></div>

UK&I Data Director

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