Data Scientist

WeAreTechWomen
London
2 weeks ago
Create job alert

Data Scientist We are looking for a Data Scientist tojoin us as we continue to evolve and build our next generation ofmodels at Funding Circle. You will play a key role in developing,implementing and monitoring these models and drive significantvalue for the business. As part of the Decision Science team, youwill create cutting edge statistical and machine learning modelsand collaborate with data engineers, analysts, and businessstakeholders. As well as improving on our previous generationmodels, we are expanding our borrower products so you will have theopportunity to develop completely new models. We’re Funding Circle.We back small businesses to succeed. At Funding Circle, we believethe world needs small businesses. That’s why we’ve made it ourmission to help them get the finance they need to grow. With morethan a decade of expertise under our belt, we’ve built agame-changer of a platform with cutting-edge data and technologythat’s reshaping the landscape of SME lending. Say goodbye tolengthy applications and hello to lightning-fast decisions! In justminutes, SMEs across the UK can get a decision, giving them accessto competitive funding in a flash. We know that good business isabout good people. So we pride ourselves on providing meaningful,human support as well as fast, hassle free processes to deliver anunbeatable customer experience. The Role 1. Develop statistical andmachine learning models for commercial lending products 2. Delivervalue through optimisation of our current models and driveinnovation through constantly seeking alternative data sources 3.Be an excellent communicator and presenter. Turn complex analysisinto simply articulated visions / insights. 4. Proactively problemsolving, identifying and mitigating any risks, issues or controlweaknesses that arise in your day-to-day What We’re Looking For 1.A recent graduate with a Bachelors, Masters or PhD in aquantitative field or STEM related subject (Mathematics, Finance,Economics, Physics, Engineering…) 2. Proven in problem-solvingusing logical reasoning and analytical methods 3. Passionate aboutFunding Circle’s mission and values 4. Knowledgeable of R, Pythonor SQL would be highly desirable At Funding Circle we are committedto building diverse teams so please apply even if your pastexperience doesn’t align perfectly with the requirements. Why JoinUs? At Funding Circle, we celebrate and support the differencesthat make you, you. We’re proud to be an equal-opportunityworkplace and affirmative-action employer. We truly believe thatdiversity makes us better. As a flexible-first employer we offerhybrid working at Funding Circle, and we've long believed in a'best of both' approach to in-office collaboration and non-officedays. We expect our teams to be in our London office three times aweek, where you can take advantage of our newly refurbished hybridworking space, barista made coffee and subsidised lunches (viaJustEat) every day! We back our Circlers to build their ownincredible career, making a difference to small businesses everyday. Our Circler proposition is designed to support employees bothin and out of work, and it is anchored around four pillars: Health,Wealth, Development & Lifestyle. A Few Highlights: 1. Health:Private Medical Insurance through Aviva, Dental Insurance throughBupa, MediCash, access to free online therapy sessions andexclusive discounts with Hertility for reproductive health support.2. Wealth: Octopus Money Coach, free mortgage advisor partnershipand discounts across numerous retailers through Perks at Work. 3.Development: Dedicated annual learning allowance and full access tointernal learning platform. 4. Lifestyle: Wellhub (for fitnessdiscounts), Electric Car Scheme and more! And finally, we haveaward winning parental leave policies supporting parents throughenhanced maternity, partner and adoption leave, as well asadditional leave for parental bereavement and for fertilitytreatments. Ready to make a difference? We’d love to hear from you.#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - London

Data Scientist | London | AI-Powered SaaS Company

Data Scientist - Remote

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.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.