Data Scientist

Loadsure
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - Remote

Data Scientist/Statistician

Data Scientist - Gen AI - Remote

Data Scientist - Gen AI - Remote

Data Scientist - Gen AI - Remote

As a Data Scientist you will be a key member of the Data team collaborating with product and engineering teams to further develop an understanding of needs. Your primary role will be to research and devise innovative statistical models for data analysis enabling smarter business processes by using analytics for meaningful insights. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realising the data’s full potential.


You will be highly organised and comfortable building relationships and working with all levels of the firm. Stakeholder management and communication will be vital to the success of the role.

This position requires a self-driven, high-energy, professional who’s passionate about disrupting an industry and wants to be rewarded for their performance and contributions.


We believe that with a growth mindset, tech-first innovation, and focused execution, anything is possible. We value others’ insights and ideas to build a collaborative, entrepreneurial, and lighthearted environment.


Key Responsibilities;

  • Collaborate with team members to collect business requirements, define successful analytics outcomes and design data models fit for current and future business questions
  • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
  • Analyse data for trends and patterns, and interpret data with clear objectives in mind
  • Implement analytical models in production by collaborating with software developers and machine-learning engineers
  • Collaborate with the Loadsure Data team to support internal reporting requirements and client reporting
  • Identify cost-saving and revenue opportunities
  • Help the finance team by providing data-driven insights for financial planning, forecasting, and risk management
  • Help the sales team by building models that can identify potential leads, predict customer churn, and optimize pricing strategies
  • Help the actuarial team by analysing claims data, developing risk models, and supporting pricing decisions
  • Help the marketing team by analysing customer behaviour, segmenting audiences, and measuring the effectiveness of marketing campaigns
  • Help the product team by analysing product usage data, identifying areas for improvement, and developing new product features


Skills and Qualifications;

Essential;

  • c. 5-7 years experience within Data Science ideally with experience as an Data Scientist or similar
  • Proficiency with data mining, mathematics, and statistical analysis
  • Advanced experience in pattern recognition and predictive modelling
  • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS, R)
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects
  • Accuracy and attention to detail
  • Very strong communication skills - having the ability to explain technical concepts to a non-technical audience
  • Self-starter who takes initiative
  • Thrive in a fast-paced, high-growth, rapidly changing technical environment
  • Enthusiastic about emerging technology and Insurtech


Desirable;

  • Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline
  • Experience working on data within Insurance, a B2B company and/or Commercial Team
  • Ability to drive commercial outcomes using insights derived from data


About Us;

We’ve combined groundbreaking AI and industry expertise to create a service that goes beyond conventional cargo insurance. This is holistic freight protection.


With trailblazing end-to-end InsurTech, our mission is simple: empower brokers to better serve the freight community, maximizing profits and minimizing losses for all.


At Loadsure, we celebrate the spirit of individuals and empower them to grow. Fostering a culture of personal freedom, mutual respect, and collaboration, we enable the professional success of each person, regardless of race, ethnicity, culture, nationality, religious belief, sexual orientation, gender identity and expression, age, marital status, or disability. Understanding, communication, respect among all people: This is how we’re nurturing a diverse and inclusive workplace in which everyone can thrive.


We Strivefor continuous growth and excellence in everything we do.

We Unitethrough collaboration, leveraging our diverse strengths to achieve common goals.

We Pioneerinnovative solutions, embracing new technologies and forward-thinking approaches.

We Deliveroutstanding results, ensuring reliability and quality in every project.


Why work for Loadsure?

  • Competitive salary
  • Fantastic company stock options
  • Remote working with great flexibility
  • 25 annual leave days, in addition to our recognised national holidays
  • Enhanced maternity/paternity/adoption/shared parental leave
  • Birthday day off
  • Subsidised gym/wellbeing membership
  • Strong healthcare coverage for employees and their families
  • A culture of work-life balance
  • A community that gives back
  • Engaging and collaborative work environment
  • An exciting opportunity to work with a talented team that’s passionate about what they do and believes in their product and people
  • Career development opportunities
  • Online learning platform


loadsure.net

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.