12 of 12 Remote Data Science Jobs in Lancashire

are available for paternity leave, neonatal leave and fertility testing and treatments Facilities : Fantastic site facilities including subsidised meals, free car parking and much more... The opportunity: As a Data Fabric Service Line Manager, you will join our IS Data Analytic team, to conduct the management of our existing two Centre Of Competencies (CoC), delivering solutions, services and … value to our internal customers : The Data Analytics CoC, bas on data analytics Microsoft technologies (SQI Server, SSIS, SSRS, Power BI etc.) The Data Science CoC , based on the delivery of the DataIku data science platform. You will be working within the Data Service Centre, a multi-competent and multi-national part of … the Group MBDA Information System Department. You will oversee our Data Analytics and Data Science service lines within a secure, on-premise environment. This role involves managing business requirements collection, coordinating integrator activities, and ensuring the structured governance of user spaces and accounts. You will act as a key interface between business stakeholders, the central Data More ❯

Job Title: Data Analyst Location: Sharston, M22 4SN Salary : £32,000 to £35,000 per annum, dependent on experience Job type: Full time, Permanent About us: Established in 2000, Express Solicitors is an award-winning law firm that deals with personal injury and clinical negligence claims. Based in Manchester, we serve clients nationwide and are currently ranked 70 out … to us. We are proud of the work we do helping injured people, and this is the core of our business. The Role: We are currently seeking an experienced Data Analyst who has experience in successfully leading on projects, along with considerable experience and knowledge of developing and presenting information using Microsoft Power BI to various audiences at all … ideal candidate will have strong technical expertise in Power BI and be highly proficient in SQL. The role will involve the creation and maintenance of business intelligence dashboards utilising data from various data sources for the use of various levels of stakeholder. Responsibilities: Design, develop, and maintain dashboards, reports, and data models in Power BI. Build and More ❯

Data Engineer - Leading Pharmaceutical Company - Manchester(Tech Stack: Data Engineer, Databricks, Python, Power BI, Azure, TSQL, ETL, Agile Methodologies)About the Role: We are seeking a talented and experienced Data Engineer on behalf of our client, a leading Software House. This is a fully remote position, offering the opportunity to work with cutting-edge technologies and contribute … to exciting projects in a collaborative environment.About the Role: Our client is seeking an experienced Data Engineer to join their team in Manchester. This hybrid position involves working within the pharmaceutical industry, focusing on the design, development, and maintenance of data pipelines, ETL processes, and databases. The role is ideal for someone passionate about improving processes, ensuring data quality, and maintaining compliance with regulatory standards. focusing on designing, developing, and maintaining data pipelines, ETL processes, and databases. If you are passionate about driving continuous improvement and ensuring data quality and compliance, we want to hear from you.Key Responsibilities:Design, develop, maintain, and optimise data pipelines, ETL processes, and databases.Drive continuous improvement by refining processes More ❯

About the Role Reporting to the Head of Data, Insights & Analytics you will lead a team of Data Engineers in the design, development and maintenance of Travel Counsellors’ data infrastructure. This role will be a high impact, multi-faceted working on data pipelines, our new strategic Data Platform and operationalising our analytical/data science solutions. Principal Accountabilities Support the design and implementation of data pipelines to ensure accurate, consistent and timely data across our analytical and reporting needs Work closely with Data Scientists, Analysts and business SMEs to automate and scale our machine learning and AI capabilities Support the development of our new cloud-based Data Platform … transforming systematic data into a business view for reporting and analytics Take ownership of our existing Microsoft technology (SQL Server, SSIS, SSAS, SSRS) whilst delivering on our migration plans to cloud-based technology Create and maintain comprehensive documentation for data processes and architectures. Provide training and support to team members and stakeholders. Stay updated on industry trends and More ❯

for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. … Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. Tune machine learning methods for optimal performance. Deploy and maintain machine learning methods in our machine learning pipeline using robust test-driven development (TDD) coding approaches, using the SOLID software development principles. Actively contribute … to creating a culture of coding and data excellence Implement efficient solutions across a range of markets, including Private Motor, Commercial Vehicle, Bike, Taxi, and Home Lead and mentor junior machine learning engineers and share best practices Key Skills and Experience: Previous experience in tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques More ❯

Lead Insight Analyst Location: Manchester (Hybrid) Salary: Up to £50,000 A rapidly growing, private equity backed digital business is looking for a Lead Insight Analyst to join its Data and Analytics team. The company supports millions of members across the UK and partners with well-known consumer brands. This is an exciting opportunity for someone who thrives in … a fast-paced, high-growth environment and wants to deliver real impact by turning data into actionable insights. What you’ll be doing Work with Marketing, Digital, and Commercial teams to ensure analytics drive decision making. Optimise omni-channel campaigns (web, email, social, SEO) through analytics, predictive modelling, and segmentation. Analyse web and app performance, user journeys, and conversion … grow the value of partner relationships. Design models and analysis that drive customer engagement and business growth. Build and automate insightful BI dashboards and reporting. Identify and onboard new data sources with the technology team. Deputise for the Head of Data when required. What we’re looking for Proven experience using advanced analytics to deliver insights that shape More ❯

challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI advancements Requirements: Proven … AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance (after 1 year More ❯

deployment of scalable AI applications. This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate … with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git More ❯

machine learning automation Build the pipelines that automate the regular model update and monitoring processes Build a framework that supports the creation, deployment, maintenance, and monitoring elements that non-data scientist and machine learning analysts produce, including assisting with hyper-parameter tuning, feature engineering, feature selection, and validation, reporting and visualisation, and communication processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling More ❯

involved in the following day to day: Develop and maintain IFRS9 and scorecard model Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree More ❯

tracking) with modern CNN architectures. Experimenting with advanced detection and segmentation heads to enhance accuracy. Curating, managing, and optimising large datasets for effective training. Applying strong metrics literacy and data science techniques to evaluate and refine models. Contributing to a collaborative research culture, sharing insights and results with peers. Key experience needed: Proven experience in optimising and deploying … and classical computer vision approaches. Strong knowledge of CNN building blocks, training dynamics, and segmentation/detection techniques. Skilled in dataset curation and management for machine learning pipelines. A data-driven approach with excellent skills in metrics and statistical analysis. Passionate about applying computer vision research to solve complex, real-world problems. The role is offering a base salary 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 ❯