Trabajos modelling en RochdaleCrear alertas

Lead Data Analyst Salary: £47,000 - £50,000 Hybrid - 1-2 days on site per week Our client, a not-for-profit mutual Housing Association based in Greater Manchester, is seeking a Lead Data Analyst to join their Data and Insight team. This role offers the opportunity to drive data-led decision making across the organisation and help build in-house analytics capability. The Role As Lead Data Analyst, you will deliver high-impact analysis, lead a small team, and develop advanced analytics capabilities including predictive modelling. You will work across the organisation, partnering with teams in Housing, Asset Management, Finance, and Customer Services to enable data-driven decisions that improve services for residents. This is a hands-on role where you will lead analytical projects, mentor junior analysts, and support the broader data strategy. Your work will directly influence how the organisation forecasts demand, manages risk, and plans for the future. Key Responsibilities • Lead analytical projects across the organisation, from strategic forecasting to service reviews, • Build and deploy predictive models to anticipate demand, reduce risk, and support planning, • Partner with colleagues across different departments to enable smarter, data-driven decisions, • Support the design and delivery of the data strategy and transformation programme, • Mentor junior analysts and help build a culture of continuous improvement, • Work with the Data Governance team to drive high-quality data standards Essential Requirements Technical Skills: • Strong experience in data analysis and visualisation using Power BI, Excel, and SQL, • Hands-on knowledge of predictive modelling techniques (regression analysis, clustering, forecasting), • Familiarity with cloud-based data environments such as Microsoft Azure, AWS, or Google Cloud, • Confidence working with large, complex datasets, including data cleansing, transformation, and validation, • Understanding of data governance principles around data quality, security, and compliance Personal Qualities: • Collaborative approach with the ability to engage with both technical and non-technical colleagues, • Strong communication skills – you can translate complex data into actionable insights for any audience, • Natural problem-solver with curiosity, creativity, and attention to detail, • Proven experience in mentoring or coaching others, • Experience with Python or R What's On Offer • 36.25 hours per week, • The opportunity to shape data analytics capability within a growing team, • Work that makes a real difference to communities, • A collaborative environment focused on development and continuous improvement James Andrews is acting as an employment agency and business in relation to this role. At James Andrews Recruitment Solutions we try to respond to all applications personally, however, due to the high volume of applications this is not always possible. If you have not heard back from us within 72 hours, please assume that your application has been unsuccessful on this occasion. Don't forget our recommendation scheme: Recommend a friend or colleague to us and receive up to £100 each once they have completed 20 days in a role via James Andrews! Terms and conditions apply, contact us for details.

Principal Machine Learning Engineer - Hybrid/Remote options available Salary - up to £100,000 I am looking for a Principal Machine Learning Engineer to join one of my new clients who operate in iGaming and Betting. This role would be a fantastic opportunity for someone who is interested in building/leading a team in the future, but wants to remain hands on and have more influence on mapping out the overarching strategy for ML developments within a scaleup environment. What you’ll do: • Architect and build scalable ML systems in GCP and AWS, • Drive end-to-end delivery across experimentation, modelling, MLOps and deployment, • Set technical direction, mentor teams, and champion best practices, • Work closely with product and data teams to turn ideas into real-world impact, • Collaborate with 3rd party vendors to understand drivers for growth and how ML can support achieving this What you bring: • Deep experience in cloud-based ML (GCP/AWS), • Confident working on end to end projects, with knowledge of deploying GLM's in particular, • A track record of shipping robust, high-scale ML systems, • Strong ownership, strategic thinking, and a passion for solving problems with bespoke solutions using ML and Data Science, • Knowledge or interest in AI If you're interested in hearing more about the ins and outs of this position, then apply below! Please note: This position is not suitable for sponsorship and therefore all applicants require full rights to work in the UK.

Job Title: Software Engineer (AI HealthTech) Client: AI HealthTech Scale-Up – Backed by Top-Tier Investors, Led by World-Class Engineers Salary: Up to £100k + Bonus + Equity Location: Remote (UK-based) with an optional Holborn office Sells: Work on cutting-edge AI systems that power healthcare innovation at scale. Full remote flexibility across the UK, total ownership of greenfield projects, modern tech stack (Python/FastAPI/Cloud), and a culture that rewards curiosity, autonomy, and clean engineering. An AI HealthTech company is expanding its high-calibre engineering team and looking for Software Engineers who thrive on building elegant, scalable systems from the ground up. You’ll be joining a small, world-class team working on distributed backend platforms, data-driven AI tools, and core infrastructure supporting advanced medical technologies. This is a true software engineering role where you'll be designing, building, and scaling complex systems that solve real problems in healthcare. Role • Design and build production-grade backend systems using Python and FastAPI, • Develop distributed, high-performance services and APIs for AI-driven platforms, • Contribute to architecture decisions, scalability planning, and system optimisation, • Implement best practices in testing, CI/CD, and performance monitoring, • Collaborate closely with product, AI, and data teams to deliver end-to-end solutions, • 4+ years of experience as a Software Engineer building modern backend systems, • Strong Python skills (FastAPI preferred; Flask or Django also considered), • Knowledge of system design, data modelling, and distributed architecture, • Familiarity with cloud technologies (AWS, Azure, or GCP) and containerisation, • Understanding of software engineering best practices — testing, CI/CD, clean code, • Fully remote working across the UK, with an optional Holborn office, • Chance to shape core architecture in a high-impact HealthTech environment, • Flat, engineering-led structure with autonomy and trust, • Work on complex, meaningful technical problems that matter, • Strong equity offering and long-term growth opportunities, • Culture built around innovation, ownership, and collaboration

Role: • Supporting the detection engineering lifecycle, including modelling, data onboarding, detection opportunity identification, detection development, detection deployment and testing/tuning. Skills: • Recent Detection Engineering experience of at least 2 years, • High degree of competency in KQL:, • Understanding the structure of KQL queries, where efficiencies can be gained, best practices and how to build detection logic, • Highly proficient in Splunk to at least Power User level, • Good understanding of Mitre Attack framework and experience of referencing and building content to the framework., • Familiar with GitHub technologies and CI/CD practices., • Good enterprise level understanding of Windows and Linux based operating systems, their management and any hardening or security controls. This role is inside IR35 and predominantly remote, although occasional onsite travel is required

Location: Remote (UK only) Salary: £78,000–£96,000 (GBP) Benefits: Equity, private medical, pension, 25 days’ holiday + public holidays Travel: Occasional EU/US travel (fully expensed) Right to Work: Must be UK-based and authorized to work About Trusaic Trusaic helps global employers meet pay equity goals and navigate complex pay transparency regulations through trusted software and expert guidance. Our mission is to enable organisations to uplift their people and drive high-performing, fair workplaces across the world. Role Overview We’re hiring a UK-based Pay Equity & Transparency Consultant to support Trusaic’s most important global clients. You’ll work directly with enterprise organisations, advising on pay equity analysis, global reporting requirements, and compliance with evolving regulations, including the EU Pay Transparency Directive. This is a client-facing consulting role involving statistical analysis, regulatory advisory, and close collaboration with cross-functional internal teams. Occasional travel within Europe or the U.S. may be required (fully expensed). Responsibilities • Advise global clients on pay transparency compliance, including EU directive readiness., • Guide pay equity analyses from data prep to result interpretation and remediation strategy., • Help clients maximise the value of Trusaic’s compliance tools and analytics., • Build strong, trusted relationships with client stakeholders., • Lead virtual and in-person client meetings., • Prepare regulatory filings and reporting submissions., • Partner with Implementation Managers and support software onboarding., • Share insights and client feedback to enhance our software and product strategy., • Deliver presentations to clients and internal leadership. Skills & Experience Required • 5+ years in pay equity, compensation, or regulatory compliance consulting, • Expertise in statistics or econometrics (especially linear regression), • Proficient in statistical modelling, • Strong understanding of U.S. and EU pay equity laws, • Familiarity with HR, payroll, and compensation systems, • Clear communicator across technical and non-technical audiences, • Strong attention to detail and discretion when handling sensitive data, • Able to manage complex work independently and juggle multiple projects, • Proficient in Excel, PowerPoint, and Word Nice to Have • Advanced degree in Economics, I/O Psychology, Statistics, or a related field, • Experience working with enterprise or multinational organisations Compensation & Benefits • Base salary: £78,000 – £96,000 (GBP), depending on experience, • Equity: Share options aligned with company success, • Private Medical Insurance: Comprehensive health coverage, • Pension Scheme: Employer contributions in line with UK requirements, • Holidays: 25 days’ holiday + UK public holidays, • Remote Work Support: Home office equipment provided as needed Equal Opportunities Statement We are an equal opportunities employer and committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other characteristic protected by the Equality Act 2010.

About the Role FULLY REMOTE - 6 Month FTC My client is looking for a Data Transformation Analyst who thrives on turning large, complex datasets into clear, actionable insights. This role is focused on building robust data models and delivering high-quality reporting solutions using Power BI and Excel. If you’re passionate about data modelling and creating scalable solutions that drive business decisions, this is the role for you. What You’ll Do • Design and maintain data models for large datasets in Power BI., • Build interactive dashboards and reports that are accurate, performant, and user-friendly., • Use Excel for advanced analysis, reporting, and visualization., • Collaborate with stakeholders to understand requirements and deliver practical solutions., • Power BI Expertise:, • Advanced data modelling (STAR schema, relationships, filter direction)., • Strong DAX skills for measures and calculations., • Experience optimizing performance for large datasets., • Excel Mastery:, • Advanced formulas (SUMIFS, COUNTIFS, text functions)., • Dashboard creation and data visualization., • VBA knowledge is a bonus., • Power Query:, • Ability to cleanse and reshape data for reporting., • Strong communication skills to explain technical concepts clearly to non-technical audiences.