294 Data Scientist jobs

Job Title: AWS Solution Architect Locations: London/Manchester Salary:?Competitive salary and package dependent on experience Career Level:? Associate Manager / Manager Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) Note: The above information relates to a specific client requirement Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. "Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us." -?Julie Sweet, Accenture CEO As a team: We are one of the world's leading providers of Cloud Solutions.?You'll work on innovative projects with colleagues?to drive collaboration from strategy through to implementation. You will be using the latest technologies with clients to help them get to the next level. You'll learn, grow and advance in an innovative culture that?thrives on shared success, diverse ways of thinking and enables boundaryless opportunities?that can?drive your career in new and exciting ways If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you.?As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.? In our team you will: Work for tier-1 clients across industry sectors - helping them turn their cloud strategy into reality.? Help design and deliver transformative cloud solutions - from migrating legacy applications onto Cloud, to building innovative, new cloud-native applications. Continue to learn and grow - we actively encourage and support continuous learning and certification. Serve as a cloud evangelist, educating customers on the value Cloud computing can bring to transform their business. ? In your role, you will: Design, implement scalable, secure, and high-performing cloud solutions that power AI initiatives. Design and support cloud-native architectures Optimize cloud costs and performance for AI workloads, including GPU-based instances and serverless compute. Develop and maintain cloud infrastructure architecture, standards, and best practices. Provide technical guidance to the development team on cloud-related issues. Ensure optimal performance, security, and scalability of the cloud infrastructure. Lead and execute large end-to-end cloud migration projects. Implement and maintain cloud security measures to protect against unauthorized access and data breaches. Collaborate with data scientists, ML engineers, and software developers to deploy ML models and pipelines in production environments. Evaluate and recommend new Cloud services and features to improve the efficiency and effectiveness of the cloud infrastructure.

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python and SQL, with experience in spatial SQL and PostGIS. Familiarity with spatial tools and libraries (GeoPandas, QGIS) and feature engineering concepts. Experience with data modelling, dbt, and version control (Git). Knowledge of spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk JBRP1_UKTJ

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial a

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Full-Stack Engineer Salary: 100,000 - 110,000 Location: London- hybrid Data Idols are working with an ambitious technology company using AI to transform how organisations learn, grow and adapt. Their mission is to build cutting-edge digital products that empower people with the skills and insights they need to thrive in a rapidly changing world. Working at the intersection of software engineering, data, and intelligent automation, they are creating innovative solutions used by global enterprises. The Opportunity We're looking for an experienced Full-Stack Engineer to join the team. This is a hands-on role at the forefront of AI innovation, designing, building and scaling digital products that blend human learning with intelligent automation. You'll collaborate closely with product designers, data scientists and AI specialists to deliver a high-performance, secure and intuitive user experience for clients. Skills and Experience Develop and maintain end-to-end features across both backend services and front-end interfaces Design and optimise AWS infrastructure Deep knowledge of JavaScript, React and Node.js If you are looking for a new challenge, then please submit your CV for initial screening and more details. Full-Stack Engineer

Data Engineer (Azure & Databricks) Location: London (Hybrid - 2 days in office) Salary: 65,000 + Benefits Level: Mid-Level About the Role: We're looking for a talented Data Engineer to join a leading consultancy and work on cutting-edge data solutions for global clients. You'll design and build scalable data pipelines using Azure and Databricks, ensuring high-quality, reliable data delivery for advanced analytics and AI initiatives. Key Responsibilities: Develop and optimize data pipelines on Azure and Databricks Collaborate with data scientists and analysts to deliver actionable insights Implement best practices for data governance and security Work in a hybrid setup (2 days per week in our London office) What We're Looking For: Strong experience with Azure Data Services (Data Factory, Synapse, etc.) Hands-on expertise with Databricks and Python Solid understanding of ETL processes and data modelling Excellent problem-solving and communication skills Benefits: Work on high-impact projects with top-tier clients Competitive salary of 65,000 plus benefits Hybrid flexibility and career development opportunities Upskilling opportunities through paid for certifications If you are a driven and skilled Data Engineer looking to make a significant impact, we encourage you to apply for this exciting opportunity. Your expertise will play a crucial role in shaping innovative data solutions within our team.

Data Scientist B2B SaaS (Price Optimisation for Retail Banks) A fast-growing, profitable B2B SaaS company is looking for an ambitious Data Scientist to help advance its price optimisation platform used by major retail banks. Their software guides mortgage and savings pricing decisions, delivering millions in additional revenue for clients. With a strong UK & Ireland client base and a rapidly expanding pipeline, this is a rare early-stage opportunity in a bootstrapped, high-growth business. This is an exciting time to join the company, with a small but growing set of clients in the UK and Ireland. After recent successes, they have built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. The Role You ll play a key part in improving and building machine learning models and data pipelines that power the platform. This is a hands-on, proactive role focused on continuous improvement across modelling, automation, and client-facing insights. You will work on: Enhancing ML pipelines: validation, classification, clustering, predictive models, neural networks, optimisation. Automating and streamlining data refresh processes. Producing client presentations and providing pricing insights. R&D on new modelling and optimisation approaches. Supporting business development and pitch materials. What You ll Bring Degree in a STEM field (Maths, CS, Engineering). Experience in data science or consulting. Strong Python/Pandas skills. Entrepreneurial mindset and proactive problem-solving. Hands-on machine learning experience. Nice to have: large datasets, data engineering, pricing/optimisation, client presentations, banking/FS experience, plus any of: PySpark, Azure, SQL, HTML/CSS/JS, VBA, Power BI, Power Automate. What s on Offer Competitive salary + compelling profit share. Equity options. Flexible working, including up to 2 months per year work anywhere . Rapid growth and promotion opportunities. 25 days holiday, increasing to 30 with tenure. Notes: UK right to work required (no visa sponsorship). Willingness to work in London up to 2 days/week and travel to clients.

Site Reliability Engineer / SRE / DevOps / AWS / IaC / Manchester / Permanent / Remote / £50,000 - £60,000pa Vivo Talent is proud to be partnering with a market-leading software organisation to recruit a talented Site Reliability Engineer (SRE) to join their growing team. This is a fantastic opportunity to play a pivotal role in designing and maintaining reliable, scalable infrastructure that keeps the business running smoothly and enables innovation at scale. As the SRE, you'll take ownership of ensuring systems remain stable, efficient, and secure - while also having the chance to mentor junior team members and help shape the foundations of a growing engineering function. If you're passionate about problem-solving, automation and building infrastructure that truly makes an impact, this could be the perfect next step for you. What You'll Be Doing Maintain & Improve Systems: Keep production environments running smoothly with proactive maintenance, patching and performance tuning. Automate & Optimise: Use tools like Terraform, Ansible and AWS to manage infrastructure and enhance automation. Collaborate & Support: Work hand-in-hand with cross-functional teams and help develop the junior SRE through mentoring and knowledge sharing. Monitor & Troubleshoot: Strengthen monitoring systems (moving from Nagios to Datadog) and take ownership of incident management. What You'll Bring Solid experience in SRE or DevOps roles within cloud environments (AWS preferred). Confidence with infrastructure-as-code and configuration management tools. A proactive, problem-solving mindset and an interest in mentoring others. Strong communication skills - you'll liaise with developers, data scientists, and non-technical stakeholders alike. This is a fantastic opportunity for an SRE who loves to take ownership, refine systems and make a tangible impact in their role If this sounds like you (or someone you know), I'd love to chat! Drop me a message or your CV.

SC Cleared Data Scientist (Python & LLMs) 6-Month Contract Location: Hybrid (Remote-working, with occasional site visits) Clearance Required: Active SC Clearance Contract Length: 6 months Rate: £500.00pd (Inside IR35) About the Role We are seeking a highly skilled and security-cleared Data Scientist to join a cutting-edge project within a government or defence setting. This role focuses on leveraging Python and Large Language Models (LLMs) to drive innovation in natural language processing, data analysis, and AI-powered decision support systems. Key Responsibilities - Design, develop, and deploy LLM-based solutions for secure environments - Build and fine-tune models using Python-based frameworks (eg, PyTorch, TensorFlow, Hugging Face Transformers) - Collaborate with cross-functional teams to understand domain-specific challenges and translate them into data-driven solutions - Perform data wrangling, preprocessing, and feature engineering on structured and unstructured datasets - Evaluate model performance and implement improvements for accuracy, efficiency, and scalability - Ensure compliance with security protocols and data governance standards Required Skills & Experience - Active SC Clearance (mandatory) - Proven experience in Python for data science and machine learning - Hands-on expertise with LLMs (eg, GPT, BERT, LLaMA, Claude, etc.) - Familiarity with NLP tasks such as summarization, classification, entity recognition, and prompt engineering - Experience working in secure or classified environments - Strong understanding of MLOps, model deployment, and containerization (Docker, Kubernetes) - Excellent problem-solving and communication skills Desirable Skills - Experience with government or defence projects - Knowledge of secure cloud environments (eg, Azure Government, AWS GovCloud)

Palantir Foundry Data Engineer - DV Cleared NEW CONTRACT OPPORTUNITY FOR A PALANTIR FOUNDRY DATA ENGINEER TO WORK ON A NATIONAL SECURITY PROJECT IN LONDON WITH DV CLEARANCE - Contract role in London for a Palantir Foundry Data Engineer - Must hold DV Security Clearance - Central London based - Daily rate up to £800 - Hybrid position - To apply, email: (see below) or call Who we are We are seeking an experienced Palantir Foundry Data Engineer with current DV clearance to join a high-profile programme. This is a contract position offering hybrid working and a daily rate of up to £800 . In this role, you will be responsible for designing, developing, and optimising data pipelines and integrations within Palantir Foundry , ensuring data is efficiently processed, transformed, and made available for analysis and operational use. You will collaborate closely with analysts, data scientists, and business stakeholders to deliver robust, secure, and scalable data solutions. What we're looking for Key Responsibilities: Develop and maintain data pipelines and workflows in Palantir Foundry Integrate diverse data sources, ensuring data quality and integrity Optimise performance of data ingestion, transformation, and visualisation Collaborate with stakeholders to define requirements and deliver solutions Ensure security and compliance with DV-level clearance standards Skills & Experience: Current DV clearance (essential) Proven experience working with Palantir Foundry in complex environments Strong skills in data engineering, ETL processes, and data modelling Proficiency in relevant programming/Scripting languages (eg Python, SQL) Experience working with large-scale datasets in secure environments Strong problem-solving skills and stakeholder engagement abilities TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to (see below) For further information please call me. I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. I look forward to hearing from you. PALANTIR FOUNDRY DATA ENGINEER - DV CLEARED

DATA SCIENTIST - E-DV CLEARED NEW CONTRACT OPPORTUNITY FOR A DATA SCIENTIST IN LONDON WITH ENHANCED DV CLEARANCE New contract opportunity with a leading consultancy for a Data Scientist London based, 3-4 days on site Enhanced DV Clearance required to start 12 month rolling contract Daily rate up to £850 To apply, email: (see below) About We're seeking an experienced Data Scientist with enhanced Developed Vetting (DV) clearance to join a leading consultancy supporting mission-critical UK Government projects . This is a hands-on, high-impact role within a secure environment, where your analytical expertise will directly contribute to national operational outcomes. The Role As a Data Scientist, you'll work within a multidisciplinary team to extract insight from complex, high-volume datasets. You'll design and implement advanced analytical and machine learning models, develop robust data pipelines, and deliver actionable intelligence to inform decision-making at the highest levels. This role offers the opportunity to apply your technical skills to highly operational challenges in a fast-paced, secure setting. You'll work closely with engineers, analysts, and mission specialists to ensure data-driven outcomes that make a tangible difference. Key Responsibilities Perform data wrangling , cleaning, transformation, and preparation of large, complex datasets Develop and deploy machine learning models to solve real-world operational problems Write clean, maintainable Python code for data analysis, automation, and modelling Collaborate with engineers and analysts to integrate models into production systems Present findings and insights to technical and non-technical stakeholders Contribute to the ongoing improvement of analytical tooling and processes Skills & Experience Current enhanced DV clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (eg pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding of data pipelines , APIs, and production deployment workflows Excellent communication skills and a collaborative approach Why Apply? Work on mission-critical UK Government projects with real-world impact Join a leading consultancy known for innovation and technical excellence Long-term engagement with competitive day rate and secure on-site environment

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial and strategic planning.This role combines technical expertise with leadership responsibilities, including mentoring analysts and engineers, translating insights into actionable recommendations, and ensuring data science practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support network planning, operational assessments, and customer analysis. Data Science Leadership: Mentor team members, present insights clearly to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python and SQL, with experience in spatial SQL and PostGIS. Familiarity with spatial tools and libraries (GeoPandas, QGIS) and feature engineering concepts. Experience with data modelling, dbt, and version control (Git). Knowledge of spatial datasets (MasterMap, AddressBase, Land Registry). Desired: Experience with WMS/WFS services, graph theory (NetworkX), GDAL, and Snowflake. Nice to have: CI/CD and orchestration tools (Airflow, Argo CD), Mapbox/MapLibre, Scala, Streamlit, DuckDB, and Power BI. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.

Ready to build smarter, faster, AI-driven solutions that transform digital marketing? Want a better work-life balance with our groundbreaking 4 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 help brands spend smarter with our award-winning predictive analytics platform. As our 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 your opportunity. If you re looking for a role where your voice matters, your technical brilliance is valued, and your work directly influences product growth and innovation, we d love to hear from you. The Role at a Glance: Senior Python Developer Remote Working / Leeds, HQ 2 Days per month £70,000 - £90,000 DOE Plus Benefits: including a 4-day week we work smarter so that we can work a shorter week. 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme. You ll need to feel comfortable in the company of our well-behaved office dog, Roxy. Values & Culture: Outstanding company to work for 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs inc co-founder of SkyScanner. Profits with Purpose - 10% 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 at the heart of it - helping to define how our products evolve, how our systems scale, and how we meet the growing demands of our users. From refining our microservices architecture to launching new features that delight customers, your fingerprints will be all over our success story. We re on the hunt for a Senior Backend Developer with deep expertise in Python to become a driving force in our fast-growing, product-led tech company. This isn t just another dev role - it s a rare opportunity to play a pivotal role in shaping the future of our platform and leading the engineering charge as we scale. You ll work hand-in-hand with our CTO, senior leadership, and cross-functional teams to bring bold ideas to life, solve meaningful problems, and architect solutions that are as scalable as they are innovative. You ll take ownership of key technical decisions, mentor a talented team of developers, and help build a culture of engineering excellence. What You ll Be Doing: You ll support the design and development of scalable Python applications that power our AI-driven marketing platform. From architecting robust systems to guiding our technical roadmap, you ll work cross-functionally to turn strategy into powerful, real-world solutions. You'll champion engineering excellence, embedding best practices, and driving innovation through clean code, collaboration, and continuous improvement. What You ll Bring: • Python • Automated testing • Build pipelines with containers, automated quality checks, etc. • Modern development practices and environments • API development with Falcon framework • Experience working in a pragmatic startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your Python expertise to a team that values innovation, balance, and impact. If you re eager to lead, build, and leave your mark on a high-growth MarTech platform - all while enjoying a smarter 4-day work week - apply now and let s build something extraordinary together. At ASK BOSCO , everybody is invited with open arms. We believe that fostering an inclusive and fair work environment is at the heart of our mission. As an equal opportunity employer, we embrace individuals from all walks of life, irrespective of race, colour, nationality, ethnicity, religion, national origin, sexual orientation, age, marital or family status, disability, gender identity or expression or any other legally protected status. We strive for a culture that celebrates and incorporates diverse backgrounds and experiences Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

Ready to build smarter, faster, AI-driven solutions that transform digital marketing? Want a better work-life balance with our groundbreaking 4 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 help brands spend smarter with our award-winning predictive analytics platform. As our 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 your opportunity. If you re looking for a role where your voice matters, your technical brilliance is valued, and your work directly influences product growth and innovation, we d love to hear from you. The Role at a Glance: Senior Python Developer Remote Working / Leeds, HQ 2 Days per month £70,000 - £90,000 DOE Plus Benefits: including a 4-day week we work smarter so that we can work a shorter week. 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme. You ll need to feel comfortable in the company of our well-behaved office dog, Roxy. Values & Culture: Outstanding company to work for 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs inc co-founder of SkyScanner. Profits with Purpose - 10% 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 at the heart of it - helping to define how our products evolve, how our systems scale, and how we meet the growing demands of our users. From refining our microservices architecture to launching new features that delight customers, your fingerprints will be all over our success story. We re on the hunt for a Senior Backend Developer with deep expertise in Python to become a driving force in our fast-growing, product-led tech company. This isn t just another dev role - it s a rare opportunity to play a pivotal role in shaping the future of our platform and leading the engineering charge as we scale. You ll work hand-in-hand with our CTO, senior leadership, and cross-functional teams to bring bold ideas to life, solve meaningful problems, and architect solutions that are as scalable as they are innovative. You ll take ownership of key technical decisions, mentor a talented team of developers, and help build a culture of engineering excellence. What You ll Be Doing: You ll support the design and development of scalable Python applications that power our AI-driven marketing platform. From architecting robust systems to guiding our technical roadmap, you ll work cross-functionally to turn strategy into powerful, real-world solutions. You'll champion engineering excellence, embedding best practices, and driving innovation through clean code, collaboration, and continuous improvement. What You ll Bring: • Python • Automated testing • Build pipelines with containers, automated quality checks, etc. • Modern development practices and environments • API development with Falcon framework • Experience working in a pragmatic startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your Python expertise to a team that values innovation, balance, and impact. If you re eager to lead, build, and leave your mark on a high-growth MarTech platform - all while enjoying a smarter 4-day work week - apply now and let s build something extraordinary together. At ASK BOSCO , everybody is invited with open arms. We believe that fostering an inclusive and fair work environment is at the heart of our mission. As an equal opportunity employer, we embrace individuals from all walks of life, irrespective of race, colour, nationality, ethnicity, religion, national origin, sexual orientation, age, marital or family status, disability, gender identity or expression or any other legally protected status. We strive for a culture that celebrates and incorporates diverse backgrounds and experiences Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

Ready to build smarter, faster, AI-driven solutions that transform digital marketing? Want a better work-life balance with our groundbreaking 4 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 help brands spend smarter with our award-winning predictive analytics platform. As our 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 your opportunity. If you re looking for a role where your voice matters, your technical brilliance is valued, and your work directly influences product growth and innovation, we d love to hear from you. The Role at a Glance: Senior Python Developer Remote Working / Leeds, HQ 2 Days per month £70,000 - £90,000 DOE Plus Benefits: including a 4-day week we work smarter so that we can work a shorter week. 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme. You ll need to feel comfortable in the company of our well-behaved office dog, Roxy. Values & Culture: Outstanding company to work for 2024 Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs inc co-founder of SkyScanner. Profits with Purpose - 10% 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 at the heart of it - helping to define how our products evolve, how our systems scale, and how we meet the growing demands of our users. From refining our microservices architecture to launching new features that delight customers, your fingerprints will be all over our success story. We re on the hunt for a Senior Backend Developer with deep expertise in Python to become a driving force in our fast-growing, product-led tech company. This isn t just another dev role - it s a rare opportunity to play a pivotal role in shaping the future of our platform and leading the engineering charge as we scale. You ll work hand-in-hand with our CTO, senior leadership, and cross-functional teams to bring bold ideas to life, solve meaningful problems, and architect solutions that are as scalable as they are innovative. You ll take ownership of key technical decisions, mentor a talented team of developers, and help build a culture of engineering excellence. What You ll Be Doing: You ll support the design and development of scalable Python applications that power our AI-driven marketing platform. From architecting robust systems to guiding our technical roadmap, you ll work cross-functionally to turn strategy into powerful, real-world solutions. You'll champion engineering excellence, embedding best practices, and driving innovation through clean code, collaboration, and continuous improvement. What You ll Bring: • Python • Automated testing • Build pipelines with containers, automated quality checks, etc. • Modern development practices and environments • API development with Falcon framework • Experience working in a pragmatic startup and managing ambiguity • Good understanding of authentication and authorisation (we currently use NextAuth/JWT) • Experience with Google Cloud Platform • Understanding of PostgreSQL and data modelling • Exposure to BigQuery would be beneficial • Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your Python expertise to a team that values innovation, balance, and impact. If you re eager to lead, build, and leave your mark on a high-growth MarTech platform - all while enjoying a smarter 4-day work week - apply now and let s build something extraordinary together. At ASK BOSCO , everybody is invited with open arms. We believe that fostering an inclusive and fair work environment is at the heart of our mission. As an equal opportunity employer, we embrace individuals from all walks of life, irrespective of race, colour, nationality, ethnicity, religion, national origin, sexual orientation, age, marital or family status, disability, gender identity or expression or any other legally protected status. We strive for a culture that celebrates and incorporates diverse backgrounds and experiences Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

Ready to build smarter, faster, AI-driven solutions that transform digital marketing? Want a better work-life balance with our groundbreaking 4 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 help brands spend smarter with our award-winning predictive analytics platform. As our 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 your opportunity. If you're looking for a role where your voice matters, your technical brilliance is valued, and your work directly influences product growth and innovation, we'd love to hear from you. The Role at a Glance: Senior Python DeveloperRemote Working / Leeds, HQ 2 Days per month£70,000 - £90,000 DOEPlus Benefits: including a 4-day week - we work smarter so that we can work a shorter week. 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme. You'll need to feel comfortable in the company of our well-behaved office dog, Roxy. Values & Culture: Outstanding company to work for 2024Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs inc co-founder of SkyScanner. Profits with Purpose - 10% of profits donated to 1moreChild orphanage yearlyMarkets: 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 at the heart of it - helping to define how our products evolve, how our systems scale, and how we meet the growing demands of our users. From refining our microservices architecture to launching new features that delight customers, your fingerprints will be all over our success story. We're on the hunt for a Senior Backend Developer with deep expertise in Python to become a driving force in our fast-growing, product-led tech company. This isn't just another dev role - it's a rare opportunity to play a pivotal role in shaping the future of our platform and leading the engineering charge as we scale. You'll work hand-in-hand with our CTO, senior leadership, and cross-functional teams to bring bold ideas to life, solve meaningful problems, and architect solutions that are as scalable as they are innovative. You'll take ownership of key technical decisions, mentor a talented team of developers, and help build a culture of engineering excellence. What You'll Be Doing: You'll support the design and development of scalable Python applications that power our AI-driven marketing platform. From architecting robust systems to guiding our technical roadmap, you'll work cross-functionally to turn strategy into powerful, real-world solutions. You'll champion engineering excellence, embedding best practices, and driving innovation through clean code, collaboration, and continuous improvement. What You'll Bring: • Python• Automated testing• Build pipelines with containers, automated quality checks, etc.• Modern development practices and environments• API development with Falcon framework• Experience working in a pragmatic startup and managing ambiguity• Good understanding of authentication and authorisation (we currently use NextAuth/JWT)• Experience with Google Cloud Platform• Understanding of PostgreSQL and data modelling• Exposure to BigQuery would be beneficial• Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your Python expertise to a team that values innovation, balance, and impact. If you're eager to lead, build, and leave your mark on a high-growth MarTech platform - all while enjoying a smarter 4-day work week - apply now and let's build something extraordinary together. At ASK BOSCO , everybody is invited with open arms. We believe that fostering an inclusive and fair work environment is at the heart of our mission. As an equal opportunity employer, we embrace individuals from all walks of life, irrespective of race, colour, nationality, ethnicity, religion, national origin, sexual orientation, age, marital or family status, disability, gender identity or expression or any other legally protected status. We strive for a culture that celebrates and incorporates diverse backgrounds and experiences Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

Ready to build smarter, faster, AI-driven solutions that transform digital marketing? Want a better work-life balance with our groundbreaking 4 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 help brands spend smarter with our award-winning predictive analytics platform. As our 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 your opportunity. If you're looking for a role where your voice matters, your technical brilliance is valued, and your work directly influences product growth and innovation, we'd love to hear from you. The Role at a Glance: Senior Python DeveloperRemote Working / Leeds, HQ 2 Days per month£70,000 - £90,000 DOEPlus Benefits: including a 4-day week - we work smarter so that we can work a shorter week. 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme. You'll need to feel comfortable in the company of our well-behaved office dog, Roxy. Values & Culture: Outstanding company to work for 2024Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs inc co-founder of SkyScanner. Profits with Purpose - 10% of profits donated to 1moreChild orphanage yearlyMarkets: 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 at the heart of it - helping to define how our products evolve, how our systems scale, and how we meet the growing demands of our users. From refining our microservices architecture to launching new features that delight customers, your fingerprints will be all over our success story. We're on the hunt for a Senior Backend Developer with deep expertise in Python to become a driving force in our fast-growing, product-led tech company. This isn't just another dev role - it's a rare opportunity to play a pivotal role in shaping the future of our platform and leading the engineering charge as we scale. You'll work hand-in-hand with our CTO, senior leadership, and cross-functional teams to bring bold ideas to life, solve meaningful problems, and architect solutions that are as scalable as they are innovative. You'll take ownership of key technical decisions, mentor a talented team of developers, and help build a culture of engineering excellence. What You'll Be Doing: You'll support the design and development of scalable Python applications that power our AI-driven marketing platform. From architecting robust systems to guiding our technical roadmap, you'll work cross-functionally to turn strategy into powerful, real-world solutions. You'll champion engineering excellence, embedding best practices, and driving innovation through clean code, collaboration, and continuous improvement. What You'll Bring: • Python• Automated testing• Build pipelines with containers, automated quality checks, etc.• Modern development practices and environments• API development with Falcon framework• Experience working in a pragmatic startup and managing ambiguity• Good understanding of authentication and authorisation (we currently use NextAuth/JWT)• Experience with Google Cloud Platform• Understanding of PostgreSQL and data modelling• Exposure to BigQuery would be beneficial• Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your Python expertise to a team that values innovation, balance, and impact. If you're eager to lead, build, and leave your mark on a high-growth MarTech platform - all while enjoying a smarter 4-day work week - apply now and let's build something extraordinary together. At ASK BOSCO , everybody is invited with open arms. We believe that fostering an inclusive and fair work environment is at the heart of our mission. As an equal opportunity employer, we embrace individuals from all walks of life, irrespective of race, colour, nationality, ethnicity, religion, national origin, sexual orientation, age, marital or family status, disability, gender identity or expression or any other legally protected status. We strive for a culture that celebrates and incorporates diverse backgrounds and experiences Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

Ready to build smarter, faster, AI-driven solutions that transform digital marketing? Want a better work-life balance with our groundbreaking 4 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 help brands spend smarter with our award-winning predictive analytics platform. As our 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 your opportunity. If you're looking for a role where your voice matters, your technical brilliance is valued, and your work directly influences product growth and innovation, we'd love to hear from you. The Role at a Glance: Senior Python DeveloperRemote Working / Leeds, HQ 2 Days per month£70,000 - £90,000 DOEPlus Benefits: including a 4-day week - we work smarter so that we can work a shorter week. 23 days annual leave + bank holidays, health insurance, retail & leisure perks, electric car scheme. You'll need to feel comfortable in the company of our well-behaved office dog, Roxy. Values & Culture: Outstanding company to work for 2024Company: AI-powered marketing analytics platform Pedigree: Visionary Founder. Backed by renowned tech entrepreneurs inc co-founder of SkyScanner. Profits with Purpose - 10% of profits donated to 1moreChild orphanage yearlyMarkets: 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 at the heart of it - helping to define how our products evolve, how our systems scale, and how we meet the growing demands of our users. From refining our microservices architecture to launching new features that delight customers, your fingerprints will be all over our success story. We're on the hunt for a Senior Backend Developer with deep expertise in Python to become a driving force in our fast-growing, product-led tech company. This isn't just another dev role - it's a rare opportunity to play a pivotal role in shaping the future of our platform and leading the engineering charge as we scale. You'll work hand-in-hand with our CTO, senior leadership, and cross-functional teams to bring bold ideas to life, solve meaningful problems, and architect solutions that are as scalable as they are innovative. You'll take ownership of key technical decisions, mentor a talented team of developers, and help build a culture of engineering excellence. What You'll Be Doing: You'll support the design and development of scalable Python applications that power our AI-driven marketing platform. From architecting robust systems to guiding our technical roadmap, you'll work cross-functionally to turn strategy into powerful, real-world solutions. You'll champion engineering excellence, embedding best practices, and driving innovation through clean code, collaboration, and continuous improvement. What You'll Bring: • Python• Automated testing• Build pipelines with containers, automated quality checks, etc.• Modern development practices and environments• API development with Falcon framework• Experience working in a pragmatic startup and managing ambiguity• Good understanding of authentication and authorisation (we currently use NextAuth/JWT)• Experience with Google Cloud Platform• Understanding of PostgreSQL and data modelling• Exposure to BigQuery would be beneficial• Exposure to Infrastructure as Code tools such as Terraform Ready to shape the future of AI-driven marketing? Join us at ASK BOSCO and bring your Python expertise to a team that values innovation, balance, and impact. If you're eager to lead, build, and leave your mark on a high-growth MarTech platform - all while enjoying a smarter 4-day work week - apply now and let's build something extraordinary together. At ASK BOSCO , everybody is invited with open arms. We believe that fostering an inclusive and fair work environment is at the heart of our mission. As an equal opportunity employer, we embrace individuals from all walks of life, irrespective of race, colour, nationality, ethnicity, religion, national origin, sexual orientation, age, marital or family status, disability, gender identity or expression or any other legally protected status. We strive for a culture that celebrates and incorporates diverse backgrounds and experiences Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

Lead Data Scientist - Perm - Data Science Transformation - Insurance A global insurance leader is seeking a visionary Data Science Guild Lead to unify and drive innovation across its data science community. This is a rare opportunity to shape the future of data science, machine learning, and AI within a major organisation, collaborating with multidisciplinary teams and senior stakeholders. What You'll Do: Build and lead a centralised Data Science Guild, fostering collaboration, standardisation, and innovation across business units. Guide teams from siloed ways of working to a cohesive, high-performing community. Drive the development and delivery of cutting-edge data science, ML, and AI products, ensuring best practices and robust governance. Work closely with engineering, platform, and AI teams to deliver impactful solutions. Champion a culture of experimentation, learning, and resilience-where innovation is encouraged and calculated risks are embraced. Directly and indirectly manage a diverse team (approx. 30-40), with opportunities for growth and progression. Location/Hybrid: 3 days to the City of London Office (non-negotiable) Salary: £140,000 + bonus Requirements: Proven hands-on data science leadership (recent coding not essential, but strong Python knowledge required). Deep understanding of ML, AI engineering, solution architecture, and the full development life cycle. Experience building teams, setting standards, and delivering measurable outcomes. Comfortable managing large, multidisciplinary teams and collaborating across functions. Insurance or financial pricing experience is desirable but not essential. Strong communication, influencing, and stakeholder management skills. Desirable experience within pricing (Financial) If you're seeking a rare opportunity to influence and change a global insurance firm's data science operations, a true achievement where your ideas will be tried in an environment that knows the risks of innovation. Please get in touch with an up to date CV to get a conversation rolling! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Data Scientist - Financial Services Based in Nottingham (4 days onsite) Permanent, Full-Time Salary: up to 75,000 (depending on experience) A fast-growing financial services organisation is seeking a Senior Data Scientist to help drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you'll build and improve predictive models, support autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management. You'll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning, experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., credit risk, fraud, marketing response, collections) with guidance from senior teammates. Decisioning support : Translate models into business decisions through clear documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion-challenger tests; deliver insights with clear visuals and concise narratives. Data exploration & analysis : Perform exploratory analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud platforms (e.g., Azure), and GenAI tools is a strong plus. Structured thinking, strong problem-solving, and clear communication skills. Degree (2:1 or equivalent) in a numerical discipline or relevant industry experience. Don't miss this opportunity to take a key role in shaping data-driven decisioning within a dynamic financial services organisation. Apply now with your most up-to-date CV! Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.

Senior Data Scientist - Asset Risk Modelling London - Hybrid, 3 days in office 85,000 - 90,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working This is a brilliant opportunity for a Senior Data Scientist with strong experience in model risk management, pricing, and insurance to join a market-leading organisation during a key period of growth and innovation. The Asset Risk function is responsible for forecasting key financial risks such as Residual Value, SMR, Insurance Lease Pricing, Economic Capital, and Customer Pricing. As part of their continued expansion, they are now seeking a talented Senior Data Scientist to join the Asset Risk Modelling Team and help shape the future of their modelling capabilities. In this role, you will take ownership of developing, maintaining, and enhancing advanced forecasting and pricing models that underpin critical business decisions. Working closely with the Modelling Manager and wider stakeholders, you'll ensure the robustness and transparency of all models, while continuously improving methodologies, data use, and analytical processes. You will also play a key role in delivering the model risk management framework across the Asset Risk function. The ideal candidate will be an experienced Data Scientist/Quantitative Modeller with a strong technical background in Python, R, or similar tools, and proven experience in model development within pricing, insurance, or financial risk. You'll combine deep technical expertise with strong business understanding, communicating insights effectively to both technical and non-technical audiences. A fantastic opportunity to join a forward-thinking organisation where you'll have genuine influence, work on high-impact projects, and develop your career within a collaborative and progressive environment. The Role: Develop, implement, and maintain advanced statistical and machine learning models for pricing and risk forecasting Support the delivery and enhancement of the model risk management framework within the Asset Risk function Collaborate with business SMEs to align model outputs with strategic objectives and ensure transparency in assumptions and methodologies Provide technical guidance on data, modelling techniques, and analytical best practices Lead the continuous improvement of modelling tools, documentation, and governance standards Work closely with cross-functional teams across Asset Risk, Product, and Data to ensure consistent and efficient delivery The Person: Proven experience as a Senior Data Scientist, Risk Modeller, or similar role Strong technical skills in Python, R, or equivalent for statistical modelling and forecasting Experience within insurance, pricing, or financial risk environments Excellent understanding of model risk management principles and governance Strong communication skills with the ability to explain technical outputs to senior stakeholders Comfortable working in a hybrid model, 3 days per week in the London office

Azure Data Engineer - Security Cleared Role Summary: We're looking for an experienced Azure Data Engineer to join our team and lead the development of scalable, secure, and high-performing data solutions within the Microsoft Azure ecosystem. This role will focus on building and refining data pipelines, enhancing data architecture, and ensuring robust governance and compliance across enterprise data platforms. You'll collaborate closely with cross-functional teams to deliver reliable data products that support business intelligence, analytics, and operational reporting. Core Responsibilities: 1. Data Engineering & Architecture Design and implement end-to-end data pipelines using Azure Data Factory, Synapse Analytics, and Databricks (or Microsoft Fabric where applicable). Develop ETL/ELT workflows to integrate and transform data from diverse sources. Create and maintain data models to support reporting, dashboards, and analytical use cases. 2. Performance & Reliability Audit and enhance existing data infrastructure for improved efficiency and scalability. Apply best practices for data validation, error handling, and system monitoring. Automate routine tasks using Azure-native tools and scripting languages. 3. Security & Compliance Configure and manage Row-Level Security (RLS) and access controls in Power BI and Azure environments. Ensure alignment with data governance policies, privacy regulations, and retention standards. Maintain comprehensive documentation and metadata for all data assets. 4. Stakeholder Collaboration & Support Partner with analysts, data scientists, and business users to deliver trusted and well-structured data solutions. Provide support for production issues and troubleshoot data-related problems. Contribute to the evolution of the data engineering framework and development processes. Required Skills & Experience: Demonstrated experience in data engineering within the Azure cloud environment. Proficiency with Azure Data Factory, Synapse Analytics, Databricks, Azure SQL, and Azure Storage. Strong SQL skills and expertise in dimensional modelling (e.g., star/snowflake schemas). Familiarity with Power BI dataflows, DAX, and RLS setup. Hands-on experience with Python, PySpark, or T-SQL for data processing and automation. Understanding of CI/CD practices in data projects using Git and YAML pipelines. Solid knowledge of data security, governance, and performance optimisation. Desirable Skills: Exposure to Microsoft Fabric and modern lakehouse architectures. Experience integrating data from enterprise platforms (e.g., HR, Finance, CRM, ERP). Familiarity with infrastructure-as-code tools like Terraform or ARM templates. Background in data warehousing or analytics engineering.

Senior Data Engineer - Burton on Trent 64-67k x1 day per week on-site (Sponsorship is not provided for this opportunity) As a Senior Data Engineer, you will lead the development and optimisation of our customers Azure-based data platform, ensuring efficient, secure, and high-performing data services. You'll design scalable pipelines and data models, champion data governance and best practices, and drive continuous improvement to enhance data quality and accessibility across the business. Key Responsibilities Data Engineering: Design, build, and maintain Azure data pipelines using Data Factory, Databricks, and related services. Data Architecture: Develop and optimise scalable data models, warehouses, and lakes (Azure Synapse, Data Lake Storage). Governance & Security: Enforce compliance and data protection standards (GDPR, DPA) through robust security and governance practices. Automation: Implement CI/CD pipelines and Infrastructure as Code (Terraform, Bicep, ARM) via Azure DevOps. Performance & Monitoring: Optimise data systems for cost, performance, and reliability; proactively resolve platform issues. Collaboration: Work closely with analysts and data scientists, mentoring junior engineers and promoting best practices. Innovation: Explore new Azure technologies to enhance platform capabilities and analytics. Documentation: Maintain clear technical documentation and share knowledge across teams. Skills & Experience Expert in Azure Databricks (Unity Catalog, DLT, cluster management). Strong experience with Azure Data Factory, Synapse Analytics, Data Lake Storage, Stream Analytics, Event Hubs. Proficient in Python, Scala, C#, .NET, and SQL (T-SQL). Skilled in data modelling, quality, and metadata management. Experience with CI/CD and Infrastructure as Code using Azure DevOps and Terraform. Strong analytical, communication, and stakeholder engagement skills. Exposure to machine learning engineering is desirable. Interested? Please submit your updated CV to (url removed) for consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn 250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy

Job Title: Junior Software Engineer & Quality Assurance Analyst Department: BBFC Technology Product Development Reports to: Director of Innovation and Emerging Technologies Duration: 12 Month Fixed Term, full time Location: Hybrid (minimum of 2 days in the office) Company Overview: Independent and not-for-profit, the BBFC is here to help everyone in the UK - especially children and families - choose age-appropriate films, videos and websites, wherever and however they watch or use them. We are committed to using AI to evolve and leverage over 110 years of experience in media compliance and regulation. We are on a mission to harness this extensive knowledge to create scalable solutions that align with our core mission of supporting audiences to make safe and informed viewing choices. As a Junior Software Engineer & Quality Assurance Analyst in our organisation, you'll join a dynamic team and have an opportunity to contribute to innovative new technology. You will gain experience supporting our two main projects currently in progress: an AI solution that identifies and tags content issues, as well as a separate tool that will determine and assign international age ratings. This role is ideal for a graduate with relevant experience looking to start their career in software engineering and quality assurance. No AI experience is required; however, this is an incredible opportunity to work with our AI team and learn new AI skills and all about the latest AI technologies. Responsibilities: Software Development Support: Assist senior engineers in writing, testing, and debugging clean, scalable code for data-related applications, primarily using Python. Gain exposure to the full software development lifecycle and contribute to code reviews under mentorship. Quality Assurance (QA) and Testing: Execute basic unit, integration, and end-to-end tests for data pipelines and software components to ensure reliability. Learn to design and execute manual and automated tests for internal and external APIs. Accurately document test results, log defects, and verify fixes in collaboration with the development team. Data Pipeline Assistance: Support the team in monitoring and maintaining core data pipelines for acquiring, ingesting, and integrating diverse datasets. Assist with automating basic data pipeline tasks to improve efficiency. Data Preparation and Exploration: Support data scientists with fundamental data cleaning, transformation, and preparation tasks for model development. Perform basic data querying and manipulation using SQL. Cloud and API Learning: Learn about and assist with basic setup and consumption of cloud services (e.g., AWS, including SageMaker) for data and model deployment. Gain experience with leveraging APIs for data access and integration. Web Scraping & Data Acquisition: Learn and assist with basic web scraping tasks to gather relevant public data from online sources under guidance. Emerging Technology Exposure: Develop a foundational understanding of MLOps practices and data-related techniques used in our AI projects. Collaboration: Actively participate in cross-functional team discussions, including data scientists, software engineers, and business analysts, to understand requirements and contribute to solutions. Requirements: Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field. Some experience in a similar junior role with demonstrated proficiency in core job functions. Strong academic knowledge of software development principles, data structures, and algorithms, typically demonstrated through university projects or coursework. Academic or project-based experience in the following: Python programming for scripting or application development. SQL for basic database querying. Software testing concepts, including unit testing and functional testing. Familiarity with development tools and version control (e.g., GitHub). Enthusiasm and a strong desire to learn about: Cloud computing platforms (AWS is preferred). API functionality and testing methodologies (e.g., Postman). Data architecture, modelling, and ETL/data pipeline concepts. Excellent problem-solving skills and the ability to proactively seek guidance and learn new technologies. Strong verbal and written communication skills for effective team collaboration. Passion for leveraging technology, specifically AI, for social good. Nice to have Exposure to Generative AI concepts or frameworks like LangFlow. We look forward to welcoming you to our team as we collectively strive to make a positive impact through AI for good.

Director of Financial Crime & Innovation Redefine how financial crime is prevented - through data, automation, and AI. A high-growth digital banking platform undergoing a multi-million-pound technology transformation is seeking a Head of Financial Crime & Innovation. This is a unique opportunity to build and lead a next-generation, tech-enabled financial crime framework at the forefront of FinTech innovation. You ll work closely with the senior leadership team, and cross-functional teams-including AI, engineering, and product-to embed scalable controls that strengthen trust, meet regulatory standards, and enhance customer experience. What You ll Do: Lead the 1st Line Financial Crime function with a vision for smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance across all lines of defence. Champion continuous improvement across KYC, transaction monitoring, fraud, and investigations. What You Bring: Strong leadership experience in financial crime within regulated environments digital banking, payments, lending, insurance, or gaming. Deep subject matter expertise in AML, CTF, sanctions, and fraud. High technical fluency; confident working with engineers, data scientists, and product owners. Experience delivering transformation or operating model change in risk or compliance. Gravitas to influence at senior levels and collaborate cross-functionally. What s On Offer: Hybrid working Generous holiday allowance, birthday leave, and well-being days Access to cutting-edge tools and a passionate, mission-driven team If you're ready to shape the future of financial crime prevention driving innovation while protecting customers at scale apply now to take the next step in your leadership journey. Director of Financial Crime & Innovation

London, UK (Hybrid 2 days pw) Leading Tech Company About the Company: Our client is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from large, diverse datasets. Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Solid SQL skills and experience working with relational databases. Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous. Strong analytical and problem-solving abilities, with the ability to work in ambiguous environments. Excellent communication skills to effectively present insights and recommendations. A collaborative mindset, with the ability to work in a dynamic, fast-paced environment. What's on Offer: Salary 80,000 - 90,000 DOE Hybrid working model with an office in central London. Opportunities for professional growth and development. The chance to work on impactful projects within a forward-thinking tech company. How to Apply: If you're a Data Scientist looking for your next challenge and want to work with a growing tech company that's making an impact, we'd love to hear from you. Please apply via LinkedIn or reach out directly Please note, sponsorship is NOT available for this role.

Azure/Databricks Data Engineer x2 - UK Wide (Hybrid Working) 72,000- 80,000 Duties As a Databricks Data Engineer with an Azure focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Skills / Experience Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Solid experience as a Data Engineer or similar role. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and teamwork skills. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional

Lead Data Engineer London, UK (Hybrid) Innovative FinTech About the Company: We are partnered with a high-growth FinTech company headquartered in London that is redefining how technology and data can transform financial services. Their mission is to deliver smarter, faster, and more secure financial solutions through cutting-edge platforms powered by data. With rapid expansion and strong investment backing, they are scaling their engineering and data capabilities to support ambitious growth plans. The Role: Our client is seeking a Lead Data Engineer to take ownership of their data infrastructure and lead the build-out of scalable, reliable, and secure data pipelines. This is a senior hands-on role, where you'll also provide technical leadership to a small but growing team. You'll work closely with data scientists, analysts, and software engineers to ensure the company's data strategy underpins their innovative financial products. Key Responsibilities: Lead the design, development, and optimisation of data pipelines and ETL processes. Architect scalable data solutions to support analytics, machine learning, and real-time financial applications. Drive best practices for data engineering, ensuring high levels of data quality, governance, and security. Collaborate with cross-functional teams to integrate data systems with wider product and engineering initiatives. Mentor and guide junior engineers, fostering a culture of knowledge sharing and continuous improvement. Evaluate and implement new technologies, tools, and frameworks to advance the company's data platform. Candidate Profile: Proven experience as a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical direction. Excellent communication skills and the ability to work effectively in a fast-paced, evolving environment. Compensation: 85,000 - 100,000 base salary + bonus Hybrid working environment, with offices in central London. The opportunity to play a pivotal role in shaping the data function of a rapidly growing FinTech. Exposure to innovative projects and cutting-edge data technologies. A collaborative, forward-thinking culture that values technical excellence. How to Apply If you're an experienced Lead Data Engineer ready to step into a leadership role and want to make an impact in the FinTech space, we'd love to hear from you. Please apply via LinkedIn or email your CV . Please note, sponsorship is not available for this position.

Databricks Data Architectx2 UK Wide Hybrid Working 80,000- 90,000 As a Solution Architect with an Azure and Databrick focus, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Duties Design and build high-performance data platforms: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Design and oversee the delivery of secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Abilty to Design, Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leverage Databricks ML and Azure ML to develop predictive models and drive business insights. Design, Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Your Skills and Experience Solid experience as a Data Architect with experience in designing, developing and implementing Databricks solutions Proven expertise in Databricks, Apache Spark, and data platforms with a strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks, and Azure Data Factory. Excellent problem-solving and analytical skills and strong communication and teamwork skills. Passion for data and a thirst for learning and is either already a Databricks champion or working towards it Relevant Architecture certifications from Mircosft and Databricks

Data Scientist - data and analytics +6 months +Fully remote working +Inside IR35 + 450 - 525 a day We're looking for an experienced Data Scientist to play a key role in turning complex data into clear, actionable insights. You'll be responsible for the full data lifecycle - from collection and cleaning to analysis, modelling, and communication of findings - ensuring all work aligns with project objectives and timelines. This is a highly collaborative role, working closely with our existing team to deliver high-quality results and meet project deadlines. The role: Collect, clean, and preprocess structured and unstructured data from multiple internal and external sources. Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Design and implement data pipelines for model-ready datasets in collaboration with data engineering teams. Apply feature engineering and selection techniques to improve model accuracy and interpretability. Develop and validate machine learning and statistical models for prediction, classification, clustering, or optimization. Apply supervised and unsupervised learning techniques using libraries such as Scikit-learn, TensorFlow, or PyTorch. Implement NLP, time-series forecasting, or optimization algorithms based on project requirements. Evaluate models using appropriate metrics and perform hyperparameter tuning for optimal performance. Convert proof-of-concept models into production-grade pipelines in collaboration with MLOps and engineering teams. Required: Translate model outcomes into actionable insights through clear storytelling and visualizations. Build dashboards and reports using Power BI, Tableau, or Python-based visualization tools. Communicate findings to both technical and non-technical stakeholders effectively. Partner with business analysts, architects, and domain experts to define use cases and success metrics. Contribute to the enterprise AI roadmap, bringing thought leadership on analytical methodologies. Document methodologies, model logic, and validation results for audit and reproducibility. Participate in Agile ceremonies, sprint planning, and client showcases. If you'd like to discuss this data scientist role in more detail, please send your updated CV to (url removed) and I will get in touch.

Location: UK (Remote) Job Overview A strategic leader responsible for defining and implementing an enterprise-wide architecture for autonomous AI agents and Generative AI solutions. This role requires deep expertise in enterprise architecture, AI systems design, and cloud-native platforms (specifically Microsoft Azure, leveraging services like Azure AI Studio/Foundry, Azure OpenAI, Databricks). Collaborate with C-suite executives, Directors, Business & technology stakeholders, data scientists, and engineering teams to ensure that AI initiatives are scalable, secure, ethically sound, and aligned with Ecolab's core business of water, hygiene, and infection prevention solutions. Key Responsibilities AI Strategy and Roadmap: Own and develop the enterprise AI architecture strategy and technical roadmap, ensuring alignment with Ecolab's business goals and digital transformation initiatives. Architectural Design and Governance: Design end-to-end scalable, secure, and resilient architectures for agentic AI solutions and multi-agent systems, integrating them with core enterprise systems like SAP, Salesforce, and the ECOLAB3D platform. Define and enforce architectural standards and governance frameworks for the agent lifecycle, data lineage, observability, and interoperability. Technology Evaluation and Selection: Evaluate and select AI platforms, tools, and protocols, such as LangChain, AutoGen, or similar frameworks, ensuring they meet scalability, security, and performance requirements within the Azure environment. Implementation Oversight: Guide development and operations teams through the deployment, integration, and testing of AI solutions. Champion best practices in AIOps, LLMOps, and agile methodologies to ensure smooth delivery and production deployment. Data and Integration: Ensure data readiness for AI initiatives, collaborating with data engineers to design robust data pipelines (leveraging tools like Databricks) that provide timely, accurate, and contextual data to AI agents. Security, Ethics, and Compliance: Embed robust security measures, data privacy, and ethical AI principles into every architectural layer. Ensure solutions comply with global AI regulations and internal governance policies. Stakeholder Collaboration & Change Management: Collaborate with cross-functional teams, including product managers, data scientists, and business leaders, to translate business needs into AI solutions. Lead change management initiatives to foster adoption and ensure human oversight and a clear escalation path for autonomous agents. Innovation and Research: Stay current with industry trends and emerging technologies in Generative AI and Agentic AI, introducing novel approaches to enhance the architecture practice and identify new business opportunities. Qualifications 15+ years of IT experience, with at least 5+ years in an enterprise architecture role and 3+ years in AI/ML, including practical experience with Agentic AI systems and Generative AI. Deep expertise in enterprise architecture frameworks (e.g., TOGAF, Zachman) and cloud-native architecture (preferably Microsoft Azure). Understanding LLMs and Python-based agentic frameworks like LangChain or AutoGen. Strong understanding of data governance, security protocols, and MLOps practices in a cloud environment. Proven track record of designing and deploying scalable AI solutions that deliver measurable business value. Excellent communication, leadership, and analytical skills, with the ability to influence stakeholders at all levels.

Connections Policy Data Scientist/Analyst (Contractor) Location: Warwick (Hybrid - 1 day/week onsite) Contract: 6 Months (with potential for extension) Rate: 500/day via umbrella company We're looking for a skilled Data Scientist/Analyst to support policy and reform initiatives within the Connections directorate. You'll be at the heart of modelling, forecasting, and analytics that shape strategic decisions and regulatory engagement. Working closely with the Data & Systems Lead and Reporting & Insights Lead, you'll build reproducible pipelines, run simulations, and deliver insights that influence real-world outcomes. This is a hands-on role ideal for a contractor who can onboard quickly and deliver value from week one. Key Responsibilities Develop and maintain policy impact models (e.g., forecasting volumes, lead times, capacity release). Run scenario and sensitivity modelling to support strategic decision-making. Design experiments to estimate the impact of policy/process changes. Engineer robust data pipelines using SQL/Python on Azure. Co-create dashboards and curated datasets in Power BI. Produce clear, concise decision papers for internal and external stakeholders. Improve data quality and manage model risks. Respond to ad-hoc data requests with rapid, high-quality analysis. Ensure compliance with data protection and information security standards. About You Essential: Proven experience in data science/advanced analytics applied to policy or process change. Strong skills in Python, SQL, and Power BI. Ability to communicate complex models to non-specialists. Understanding of GB energy networks and the connections lifecycle. Collaborative mindset and ability to deliver at pace. Degree in a quantitative field or equivalent experience. Desirable: Knowledge of GB regulatory frameworks (e.g., codes, charging, queue management). Experience as a contractor/consultant with rapid onboarding and strong documentation. Interfaces Internal: Connections Strategy, Reform PMO, Operations, Digital & Data, Product Management External: Ofgem, DESNZ, Transmission Owners, DNOs, Connections Customers Business Capabilities Whole Energy System Awareness Effective Engagement Digital and Data Literacy Critical Problem Solving Holistic Thinking Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Lead Data Scientist - Financial Services Based in Nottingham (4 days onsite) Pay up to 75,000 Permanent, Full-Time Our client is a fast-growing financial services organisation looking for a Lead Data Scientist to drive innovation across the customer lifecycle. This is a hands-on, commercially focused role where you'll develop predictive models, deploy autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, credit risk, and customer management. You'll work closely with cross-functional teams and have the opportunity to shape the future of data science within a dynamic, forward-thinking environment. Key Responsibilities: Own the development and deployment of predictive models to improve customer outcomes. Lead autonomous decisioning initiatives, including model implementation and policy setting. Design and execute test-and-learn strategies to inform business decisions. Deliver insights through structured analysis and clear communication. Identify opportunities for innovation and process improvement using data. Key Skills and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. Excellent stakeholder engagement and communication skills. Degree (2:1 or above) in a numerical discipline. Comfortable working independently and collaboratively in a small team. Don't miss this opportunity to take a leading role in shaping data science strategy within a dynamic financial services organisation. Apply now with your most up-to-date CV! Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to apply early to avoid disappointment. Tate is acting as an Employment Business in relation to this vacancy. Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles. Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners. Current average salaries in the sector for lower-level positions and fully trained Data Experts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analysts - £60,000 Data Scientist - £65,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science. Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Step 1 - Data Administration Training Data is extracted using various method which are normally IT driven. We provide you with access to the following courses to ensure you are employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam. Step 2 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam. The course is online and comes complete with exam simulators and revision tools. You will have access to a tutor and a 1-hour online revision workshop prior to your exam. This qualification sets you on course to becoming a data analyst. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS. Study time is around 15 hours, and qualification is achieved by online exam. Step 4 - Recruitment Support Now you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience. We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role. They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need. Step 5 - CompTIA Data X Qualification Once you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check out our testimonials. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.