6 of 6 Remote Data Science Jobs in Sheffield

office 2 days per week . This is a 6+ month temporary contract to start ASAP Day rate: Competitive Market rate This position falls under the client's Group Data Technology space. The key focus is on creating connections between business processes, data, products, services, and technology that underpin customer interactions and drive financial success. The team provides … a single comprehensive data cataloguing solution across multiple business units. Key Responsibilities Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation Conduct assessments of the … Chat Bot development using below listed technologies (Mandatory) Python, PyCharm, Numpy, Pandas Experience with ML, deep learning, TensorFlow, Python, NLP MySQL, PostgreSQL, NoSQL, RDBMS design and modelling GitHub, Jenkins Data modelling, Data wrangling and extraction Experience in developing classification algorithms and data preparation Must have experience in either one or more of the expertise areas like Image More ❯

hold an expert level of mathematical reasoning- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Data Science, Applied Math and/or Computer Science. Benefits: * This is a full-time or part-time REMOTE position * You’ll be able to choose which projects you … mathematics problems and evaluate their outputs * Evaluate the quality produced by AI models for correctness and performance Qualifications: * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in data science, arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning * A current, in progress, or completed Masters and/or PhD is preferred but not required More ❯

complex decisioning strategies using Pega CDH, including Next-Best-Action (NBA) frameworks, real-time containers, and adaptive models. * Business to Technical Translation: Collaborate with business stakeholders, product owners, and data scientists to translate customer engagement goals and business requirements into effective and scalable decisioning frameworks. * Defining Policies & Rules: Define and implement engagement policies, arbitration rules, and predictive models to … optimize customer interactions across various channels. * Data Integration: Ensure seamless integration with enterprise systems, including CRMs, data warehouses, marketing platforms, and third-party tools to support the decisioning engine. 2. Hands-on Configuration & Implementation (Technical Execution): * Decisioning Artifacts: Be responsible for the end-to-end build, unit testing, and deployment of Pega decisioning artifacts, such as strategies, propositions … configuring arbitration, taxonomy, and strategies. * Model Management: Work hands-on with Pega's Adaptive Decision Manager (ADM) and Prediction Studio to create, monitor, and optimize adaptive and predictive models. * Data Flows & Sets: Develop and configure data flows, data sets, and data transform rules to support the decisioning and reporting requirements. * Troubleshooting & Performance: Actively participate in performance More ❯

range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be really … well-suited to a Data Scientist looking to take their first-step into Consultancy, or an existing Consultant who is ready for the next step in their career - being a Microsoft Partner, they are committed to supporting you through your Microsoft Certifications with a huge emphasis on personal and professional development! Requirements: Strong Python scripting skills Strong understanding of … LLMs Experience delivering Gen-AI projects Experience with Retrieval-Augmented Generation (RAG) Experience with Microsoft data technologies would be beneficial Experience with Cloud platforms - ideally Azure Strong communication, stakeholder management and problem-solving skills Benefits: Salary of up to around £60,000 depending upon experience Bonus up to 10% Pension - 5% matched 25 days holiday Home working allowance Enhanced More ❯

day week model? We are seeking a Senior Backend Python Developer to support the development of our AI-driven marketing platform, with a strong focus on performance, scalability, and data pipeline architecture. This role is ideal for someone experienced in backend API development and working with modern data infrastructure. At Ask BOSCO® , we're on a mission to … Senior Backend Python Developer, you won't just write code - you'll shape the future of a high-growth MarTech product, lead technical strategy, and work directly with founders, data scientists, and clients to deliver impactful, intelligent solutions. If you're excited by ownership, innovation, and the chance to make a real mark in a scaling business, this is … of profits donated to 1moreChild orphanage yearly Markets: Marketing & eCommerce Agencies. eCommerce retailers. Your Expertise: Highly experienced Developer with experience of backend API development and working with modern data infrastructure. At ASK BOSCO® , part of Modo25, we're building a smarter, faster, people-first marketing tech business. We're entering a phase of accelerated growth, and you'll be More ❯

AI/ML technology and business impact. Lead a team of AI commercialisation specialists, uncovering use cases and scaling high-value AI initiatives. Collaborate with business units, engineers, and data scientists to deliver practical, scalable AI solutions. Build and manage partnerships with external providers to accelerate AI adoption. Ensure all solutions meet governance, compliance, and ethical AI standards. Drive … ideally in regulated industries. Sector Knowledge: Financial services, consulting, or technology background with a focus on transformation. Technical Understanding: Familiarity with AI/ML technologies (generative AI, NLP, MLOps, data governance). Business Acumen: Ability to identify high-impact AI use cases aligned to business strategy. Governance Awareness: Strong understanding of risk, compliance, and model governance in a complex More ❯