London, South East, England, United Kingdom Hybrid/Remote Options
MORRIS SINCLAIR RECRUITMENT LTD
IPM) & soil research Remote Role – Central London Office This is a fully remote role but you MUST be UK based and not require a visa to work. Lead R Data Science Engineer - Integrated Pest Management (IPM) & Soil Science Research & Solutions The Organisation Our client develops cutting-edge navigator software for the global agricultural sector, helping farmers transition toward more … findings into practical models for farmers and land managers, enabling them to understand their systems better and build more sustainable, profitable operations. Position Overview We're seeking an experienced Data Engineer to join our client's Sustainability team as a lead technical specialist in our R-focused Research Software Engineering group to specialise particularly in Integrated Pest Management & associated … soil science. You'll create and maintain the technical infrastructure that enables our sustainability experts and data scientists to develop innovative agricultural sustainability solutions to solve global issues in Integrated Pest Management (IPM) and soil science. Core Functions Lead technical best practices across R package design, code architecture, documentation, and dependency management Establish and oversee versioning and CI/ More ❯
Join the Pipeline: Future Tech Talent Wanted Data Idols are partnering with the Data Science Festival to bring you a top-tier initiative for those wanting to reboot their tech career. From new grads to tech returners to career switchers, if data lights your fire, this is for you. The Careers Day Festival brings together 30 leading … bag your next job, find an exciting new role, or make invaluable connections for your future career. What to Expect Real-talk panels from experts within the tech world Data-driven workshops that explore the world of AI in tech careers Networking, but it means something Gain insights you won't find in any job descriptions A mentorship program … series designed to help you grow your skills and level up with the support of an experienced mentor. You'll be matched with a small group led by a data professional who will guide you through 6 structured sessions that will cover everything from goal-setting and CV writing to career confidence and acing your interviews. ️ Date: Wednesday 17th More ❯
role is suited to candidates who are both familiar with the national security domain and the application of research to national security challenges and are themselves a researcher in data science and artificial intelligence with an outstanding track record of research or similar experience across related disciplines and a strong foundation in mathematics, statistics, or theoretical computer science. A … experience developing and deploying technologies in support of UK Defence and National Security organisations will be essential as well as fluency in one or more programming languages used in data science. We predominantly work in Python, but demonstrable experience of other programme languages is important. As well as excellent technical skills, the successful candidate will need to demonstrate strong More ❯
and a willingness to challenge how things have always been done. That's exactly the mindset this rapidly expanding European tech company is looking for in its next Principal Data Scientist. As they continue to scale off the back of real success, their mission is clear: make AI more accessible and impactful for businesses everywhere. Their intelligent products help … organisations tap into the power of data to drive smarter decisions, uncover hidden opportunities, and transform operations, and you'll play a key role in making that happen. Responsibilities In this role, you'll be responsible for leading a talented team of data scientists and ML engineers, helping to architect, build, and refine intelligent systems from the ground … experimentation, to production deployment and performance monitoring. Setting high standards while creating space to learn and grow through trial and iteration. You'll bring a deep understanding of modern data science and machine learning techniques, and know when to apply the right tools, whether that's deep learning, statistical modelling, or classical ML methods. Your toolkit includes Python, SQL More ❯
london, south east england, united kingdom Hybrid/Remote Options
VML Enterprise Solutions
contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. The opportunity: We are investing massively in developing next-generation AI tools for multimodal datasets … a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners. As a member of our data science team, you will work alongside world-class talent in an environment that not only fosters innovation but also personal and professional growth. You will be at the forefront … time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. We are hiring across all experience levels in data science, from entry-level to seasoned professionals, and offer competitive salaries commensurate with experience and skills. What you'll be doing: Develop and leverage state-of-the-art algorithms More ❯
tech business is seeking a Senior Credit Risk Manager to shape and scale its credit and affordability strategy. This is a high-impact role for someone who thrives on data-driven decision making and wants to make a tangible difference in a fast-moving, technology-driven lending environment. Role Overview You'll work within a small, high-performing risk … team to optimise credit strategy, balancing business growth with strong credit outcomes. Using data, analytics, and automation, you will deliver scalable solutions across a diverse consumer lending portfolio, including near-prime and higher-risk customers. Key Responsibilities Develop and implement credit and affordability strategies across the consumer lending portfolio. Build scalable processes balancing customer outcomes, operational efficiency, and commercial … goals. Use data and analytics to identify trends, inform strategy, and improve processes. Monitor credit performance and reduce arrears and risk exposure. Ensure compliance with regulatory, legal, and internal standards. Collaborate with product, operations, finance, and other teams to integrate credit decisioning into the broader business. Provide updates to senior leadership and contribute to long-term planning. Requirements 5+ More ❯
Overview: We are working with an innovative, fast-paced organisation focused on delivering data-driven insights across customer journeys and B2C purchase paths. The team values practical, hands-on problem-solving and seeks to build proof-of-concept models that deliver real business value, rather than perfect deployable solutions. You will have the opportunity to work independently and contribute … of-concept solutions from imperfect or incomplete datasets Deliver actionable insights that inform business decisions Communicate complex findings clearly to stakeholders Collaborate with cross-functional teams to solve challenging data problems Required Skills and Experience: Proven experience in multi-touch attribution modelling Background in R&D, innovation, start-ups, or consulting Comfortable working independently with strong communication skills Experience … with customer journey or B2C purchase path analysis Ability to make models work with imperfect data and deliver tangible results Desirable Skills: Experience in full-stack data science roles Familiarity with hacky, fast prototyping approaches in analytics How to Apply: Please submit your CV to Atif Ahmad. More ❯
london, south east england, united kingdom Hybrid/Remote Options
Mercor
Role Overview Mercor is seeking data scientists to support one of the world's leading AI labs in building robust, high‐performance systems for next‐generation machine learning applications. In this role, you will focus on hands‐on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with … you will write, review, and validate prompt‐based questions used to train AI systems. You are a good fit if you: Have over 3+ years of professional experience in data science or applied analytics. Are highly skilled in Python and Jupyter notebooks. Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. Have a bachelor's … degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing More ❯
Marketing Data Analyst/Scientist (GA4 DBT SQL) London/WFH to £90k Do you have expertise with analysing marketing data combined with excellent stakeholder management and communication skills? You could be progressing your career in an impactful Marketing Data Analyst at a global FinTech/CFD trading company that has been consistently voted as one More ❯
1. Role Overview Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short … term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2. Key Responsibilities Translate business questions into data science problems and analytical workflows Conduct data wrangling, exploratory analysis, and hypothesis testing Develop statistical models and predictive tools for decision support Create compelling data visualizations and dashboards for business users Present findings and recommendations to … non-technical stakeholders 3. Ideal Qualifications 5+ years of applied data science or analytics experience in business settings Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills Experience with data visualization tools (e.g., Tableau, Power BI) Solid understanding of statistical modeling, experimentation, and A/B testing Strong communication skills for translating technical work into More ❯
