eCommerce platform specialised in consumer goods and delivery. This business offers an extensive range of products including household essentials, medication, office supplies, groceries, and even fresh prepared food! The LeadDataScientist- Category Management, will develop decision support systems, analyse large datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team … and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this LeadDataScientist - Category Management : Partner with the Data Team to measure and report on availability levels and their impact on revenue and order volumes. Collaborate with the Category and In … expirations across subcategories. Conduct in-depth analyses and post-implementation reviews to address challenges, uncover opportunities, and propose future experiments related to availability and expirations reporting. Key requirements of LeadDataScientist - Category Management : Ideally having 4-6 years of experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to More ❯
Nottingham, Nottinghamshire, United Kingdom Hybrid / WFH Options
Tate
LeadDataScientist Location: Flexible/Hybrid Contract Type: Permanent Salary: 50k-60k Monday to Friday core office hours We are recruiting a LeadDataScientist on behalf of a fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle … using advanced data science and machine learning techniques. About the Role: As a LeadDataScientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy, credit risk, and customer management. You'll have the opportunity to shape the direction of data science initiatives and work … a highly skilled team to implement autonomous decision frameworks, predictive modelling, and advanced analytics. Key Responsibilities: Own and develop predictive models to improve customer outcomes across multiple business domains. Lead model deployment and policy setting to enhance autonomous decisioning. Design and implement test-and-learn strategies that influence key business decisions. Deliver actionable insights through structured analysis and clear More ❯
A small and rapidly growing Consultancy are looking for a LeadDataScientist to join their expanding team - this is a hybrid role, requiring around 2-3 days per week either in the office or on client site, depending on requirements. Many of their clients are in the Public Sector, meaning you must be eligible for SC … Clearance in order to apply for this role. In this role, you will lead on client projects and provide them with subject matter expertise - you'll proactively identify opportunities for data science to be used to help solve their unique challenges, and will action this appropriately. This will involve working with varied data sources, and designing and … implementing various data science and machine learning techniques and algorithms, both on-premises and on the cloud, depending on what's best for each particular client. You'll communicate your findings and insight to the client, getting involved in presentations to uncover the "story" the data is telling, and therefore what action can be taken. This role would More ❯
South West London, London, United Kingdom Hybrid / WFH Options
Experian Ltd
LeadDataScientist - Model Risk Management Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data … more at experianplc.com Job Description Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a LeadDataScientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client … and internal engagements for Experian's new global product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners More ❯
a critical phase of growthand were looking for an exceptional senior engineering member to help us scale from start-up to industry leader. You must have to ability to lead by example and grow a talented team, build a world-class engineering culture, and work hand-in-hand with our commercial and product teams to deliver ML/AI … delivery, and lean team dynamics. Tech We Work With: Python, React, JS Airflow, Docker, Kubernetes, Postgres, Slurm, Glue, ECS, AWS Batch Transformers, LLMs, Fine-Tuning, Prompt Pipelines Real-time data pipelines & scalable APIs More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
LEADDATASCIENTIST - CREDIT £90,000 HYBRID - UK This role does not offer sponsorship. This is a fantastic opportunity to lead credit risk decisioning at a fast-growing fintech. You will be the go-to expert for credit strategy, owning model development and deployment, and helping shape the company's lending performance. THE COMPANY This company … is an ambitious fintech operating in the consumer finance space, providing oversees payments and credit cards. With a strong data-driven culture and a collaborative team structure, they are scaling quickly and investing heavily in their data capabilities to drive better customer and business outcomes. THE ROLE You can expect to be involved in the following day-to … day: Lead the end-to-end lifecycle of credit and affordability models, from data sourcing to production monitoring. Work with a range of data types, including bureau, open banking, and behavioural data. Own the development and execution of decisioning strategies, including champion/challenger experiments. Analyse portfolio performance and recommend strategic changes based on data insights. More ❯