451 jobs found

Who We Are BCG Expand is a specialist firm providing unique data-driven business intelligence as a trusted advisor to senior executives across the world's leading financial services firms to help them to operate more effectively. Expand's activities are focused on data benchmarking in technology, operations, FinTech and market data, with expertise around strategic cost and human resourcing benchmarking in wholesale finance. Founded in 2001 as an independent research boutique, Expand is a wholly owned subsidiary of the Boston Consulting Group, headquartered in London and with offices in Singapore and New York. At Expand we're proud of our friendly, inclusive and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and maintain our professional, supportive and entrepreneurial working culture that we all enjoy. What You'll Do We're looking for a highly skilled Principal Engineer with a passion for data, cloud technologies, and building robust, scalable solutions - who also brings strategic product thinking and cross-functional leadership . In this role, you'll not only lead the design and implementation of the data infrastructure that powers advanced analytics and data science across our platforms, but also contribute to the strategic direction, roadmap, and execution of data products in collaboration with senior stakeholders. Architect & Build Scalable Data Solutions Collaborate closely with senior product stakeholders to understand data needs and architect end-to-end ingestion pipelines Design and build robust ETL/ELT processes and data architectures using modern tools and techniques Lead database design, data modelling, and integration strategies to support analytics at scale Drive Data Integration & Management Design and implement secure, scalable, and efficient data ingestion frameworks across structured, semi-structured, and unstructured data Partner with product owners and engineers to develop data exchange protocols, ensuring best practices in data governance and security Create and manage hybrid cloud data environments and support data pipelines for big data platforms Product Strategy & Execution Contribute to the strategy and vision for our data products, helping to define and evolve product roadmaps from launch through scale Oversee day-to-day execution of product initiatives across cross-functional teams Lead by example to help foster a high-performing, collaborative, and agile culture Proactively identify and mitigate business, operational, and governance risks Provide clear, data-driven updates on product performance and technical milestones to stakeholders Collaborate Across Disciplines Work together with data scientists to understand analytical needs and curate high-quality data sets Map data fields to business hypotheses, wrangle data, and ensure datasets are model-ready Contribute to a cross-functional engineering culture with a focus on quality, automation, and continuous improvement Ensure Secure & Compliant Practices Apply strong knowledge of information security principles to ensure compliant handling of sensitive client data Build and deploy solutions with security, maintainability, and scalability top of mind What You'll Bring An ideal candidate will have: Proven experience in a hands-on technical role delivering impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications into production environments, including packaging, monitoring, and release management Ability to extract insights from complex and disparate data sets and communicate clearly with stakeholders Hands-on experience with cloud platforms such as AWS, Azure, or GCP Familiarity with traditional ETL tools (e.g., Informatica, Talend, Pentaho, DataStage) and data warehousing concepts Strong understanding of data security, compliance , and governance best practices Experience leading or influencing cross-functional teams in a product or platform environment Strong stakeholder management and communication skills Additional info At Expand we're proud of our inclusive, diverse and authentic team. It takes diversity of thought, culture, background and perspective to drive a global growing business, understand our clients' needs and create a welcoming culture for us all to enjoy. Studies have shown that women and people of colour are less likely to apply for jobs unless they meet every single qualification, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. If you're a quick learner, conscientious and friendly, you might be just the person we're looking for. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Job Title: Data Scientist Job Description We are seeking a highly skilled Data Scientist to join a pioneering new team of eight professionals focused on developing innovative products. This role offers the opportunity to work with large data sets and cutting-edge technologies in a dynamic and forward-thinking environment. Responsibilities Combine, interrogate, and manipulate large data sets using big data tools such as Hadoop and Spark. Utilise common programming languages, with a preference for Python, and employ various statistics and machine learning libraries like scikit-learn and PySpark. Understand and apply trade-offs between different machine learning model validation metrics, such as AUC and recall, to optimise model performance based on business needs. Communicate directly with business partners to translate statistical findings into actionable business insights. Utilise BI visualisation tools like Tableau, Domo, and Power BI. Optimise big data ETL pipelines to enhance efficiency and performance. Essential Skills Demonstrated ability to work with big data tools, including Hadoop and Spark. Extensive experience with programming languages, especially Python. Proficiency in using machine learning libraries such as scikit-learn and PySpark. Strong understanding of machine learning model validation metrics. Knowledge of version control systems like Git. Effective communication skills to translate data insights into business strategies. Additional Skills & Qualifications Experience in deploying machine learning models to cloud-based production environments. Experience with Databricks. Experience with innovative applications of Generative AI in commercial settings. Background in the financial industry. Solid foundation in software engineering, with a focus on maintaining high code quality, effective version control, and rigorous testing practices. Why Work Here? Join a dynamic and innovative team that values creativity and cutting-edge technology. Enjoy opportunities for professional growth and development in an environment that encourages collaboration and innovation. Benefit from working on exciting projects that have a real impact in the industry. Work Environment The work environment is collaborative, with a focus on innovation and the development of new products. Team members use advanced technologies and tools, working on flexible schedules to deliver high-quality results. The dress code is business casual, promoting a comfortable yet professional atmosphere. Job Type & Location This is a Contract position based out of london, United Kingdom. Location London, UK Trading as TEKsystems. Allegis Group Limited. Level 1, The Chase, Carmanhall Road, Sandyford, Dublin 18, Ireland. No. 909257. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.

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.

AI Data Scientist - Python Specialist (Contract) Location: Cambridge (Hybrid - 1 day/week onsite) Duration: 6 months Day Rate: £400-£550/day (Outside IR35) Start Date: End of August A leading Cambridge-based biotech company is urgently seeking an AI Data Scientist with strong Python skills to support the development of machine learning models for biomedical data analysis. You'll be joining a small, agile team working on projects ranging from genomic data interpretation to clinical trial optimization . Key Responsibilities: Build and deploy ML models using Python , scikit-learn , and PyTorch Work with structured and unstructured biomedical datasets (e.g. genomic sequences, patient records, imaging) Collaborate with bioinformaticians and clinical researchers to translate data into actionable insights Contribute to the development of internal tools for data preprocessing , feature engineering , and model evaluation Requirements: 3+ years of experience in data science or ML, ideally in biotech or healthcare Strong Python programming skills and experience with ML libraries Familiarity with Jupyter , Pandas , NumPy , and MLFlow Experience working with clinical or biological datasets is a big plus Comfortable working in a fast-paced, research-driven environment Bonus Skills: Knowledge of genomics , bioinformatics , or clinical trials Experience with Docker , Kubernetes , or cloud ML pipelines (AWS/GCP) This is a high-impact role with immediate visibility across R&D and data teams. Interviews are being scheduled soon - apply now or refer someone in your network!

A great marketing digital client based in Old Trafford is looking for a Data Scientist to help build and mature our monitoring and alerting infrastructure, centralising current efforts and enabling scalable, standardised approaches across multiple projects. This is a pivotal role for someone who thrives in autonomous environments and enjoys owning solutions from concept to deployment. The role consists of hybrid working 2 days in the office and 3 days WFH, where they like to be in the office for collaboration and team building and work from home whilst doing deep work. No sponsorship offered you must be eligible Your Benefits Generous Time Off: Enjoy 25 days of paid holiday, plus bank holidays. After two years with us, you can also buy or sell up to 5 days of annual leave. Peace of Mind: Life assurance and a workplace pension with employer contributions. Reward for Performance: Bonus scheme that recognizes your hard work and contributions. Cycle to Work Scheme: For the cyclists among us, we've got you covered. Gear You'll Love: Choose the tech that works for you, we'll try and source it! Learning & Growth: Benefit from one-to-one coaching, a budget for training programs, and all the support you need to keep growing. Giving Back: Join us in supporting local charities and making a positive impact. The Role: As a Data Scientist in this role, you will lead the design, development, and deployment of systems that monitor the health and integrity of our data. You will work with stakeholders across technical and non-technical teams to scope requirements, define metrics, and ensure anomalies are identified, understood, and resolved quickly and reliably. This is a hands-on role that requires both analytical thinking and strong engineering practices. You will take full ownership of projects - from discovering and defining problems, cleaning and preparing data in the warehouse, developing and testing models and logic, and deploying solutions into production environments. Key Responsibilities: Design and implement monitoring and alerting systems to ensure the reliability and accuracy of key datasets and processes. Collaborate with teams to define relevant metrics, thresholds, and KPIs. Build, maintain, and productionise machine learning and statistical models using Python and PySpark. Deploy monitoring tools and models using AWS infrastructure. Create scalable frameworks for future monitoring requirements across products and teams. Investigate and troubleshoot anomalies in the data pipeline. Promote data quality and monitoring best practices across the business. Mentor junior team members and contribute to a culture of curiosity, rigour, and innovation. Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety. About You: Here's what we're looking for: Proficiency in Python and SQL for analysis, model development, and data interrogation. Experience in handling large datasets with PySpark and managing distributed data processing. Comfortable deploying statistical or ML models into production environments. Strong understanding of cloud infrastructure, preferably AWS. A methodical, problem-solving mindset with high attention to detail. Able to scope, define, and deliver complex solutions independently. Comfortable working closely with non-technical stakeholders to define business-critical metrics. Self-motivated, accountable, and keen to continuously learn and grow. Previous experience building monitoring or data quality frameworks is highly desirable.

BRAND NEW DATA SCIENTIST OPPORTUNITY IN MANCHESTER - HYBRID WORKING Salary up to £70,000 p/a plus bonus & excellent benefits Shape the future of monitoring & alerting infrastructure for a global data insights provider We're looking for strong Python, PySpark, and AWS skills, with experience in large-scale data systems Hybrid working - 2-3 days in the office ABOUT THE CLIENT: Our client is a pioneering force in the media and market research sector, delivering innovative data solutions to some of the most recognisable brands worldwide. Their mission is to provide actionable insights that empower strategic decision-making and transform business performance.With over a decade of industry leadership, they're now investing heavily in their monitoring and alerting capabilities - and they need a talented Data Scientist to take ownership of this critical function, designing scalable systems that safeguard the reliability and integrity of their data. A GLIMPSE AT THE BENEFITS / CULTURE: 25 days' annual leave + bank holidays (option to buy/sell after 2 years) Bonus scheme recognising high performance Life assurance and employer pension contributions Choice of tech setup to suit your working style Learning & development budget + 1:1 coaching Cycle-to-work scheme & free parking Hybrid working model with flexible start/finish times £100 annual home office allowance DATA SCIENTIST ROLE: In this hands-on role, you'll design, build, and deploy monitoring and alerting systems that ensure the accuracy and reliability of core datasets. You'll work across multiple teams to define key metrics and thresholds, productionise ML/statistical models, and create frameworks that scale across products and business units.You'll take projects from concept to delivery - scoping requirements, preparing and analysing large datasets, deploying solutions into AWS-based environments, and embedding best practices in data quality and monitoring. KEY SKILLS / EXPERIENCE: Proficient in Python & SQL for analysis, modelling, and interrogation Experience with large datasets and distributed data processing (PySpark) Skilled in deploying ML/statistical models into production Knowledge of AWS cloud infrastructure Strong analytical, problem-solving, and troubleshooting skills Ability to work with technical and non-technical stakeholders Previous experience in monitoring/data quality frameworks highly desirable TO BE CONSIDERED: Please either apply by clicking online or emailing . For further information please contact via / . 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. KEY SKILLS: Data Scientist / Python / PySpark / AWS / SQL / Monitoring & Alerting / Data Quality / Machine Learning / Statistical Modelling / Manchester / Hybrid Working

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.

Job Title: IT Infrastructure Engineer Location: Basildon, Essex Salary: £47,810 - £54,710 per annum Job Type: Full-time, Permanent About the role: A skilled IT Infrastructure Analyst is needed to support the development and delivery of IT services across Pathology First and SYNLAB UK&I. This role provides direct support to the IT Operations Manager, ensuring our laboratory services have the theoretical and practical IT knowledge required to maintain a quality, compliant, and secure operational environment. The successful candidate will be a key contributor to our team, supporting daily operations and assisting with critical project work. Responsibilities: Your primary responsibility will be to support and maintain our server and network environments, including hands-on, third-line support for Microsoft Operating Systems (Windows 10, Server ). You'll monitor and update jobs within the ITSM system, ensuring users are kept informed, and you'll adhere to established Incident Management and Request Fulfilment processes. You'll also be able to help maintain our cybersecurity footprint, making sure all areas of responsibility comply with relevant legislation. A significant part of the role involves collaboration, working with third-party suppliers to resolve issues, performing daily operational checks, and providing planned assistance for IT projects at remote sites as required. Also, you will be responsible for documentation, assisting with the creation and maintenance of Service Desk procedures and the Configuration Management Database, and updating the knowledge base with resolution information. This role offers the chance to continue your personal development through a blend of academic learning and practical experience. About You: Essential: Educated to A-Level or HND level. Proficiency in Desktop and Server Troubleshooting, as well as Network and Firewall Troubleshooting. Experience with Patching, Upgrade Lifecycle, Active Directory Management, and Group Policy Management. Strong knowledge of Microsoft Server OS and Microsoft Desktop OS. Proven ability in Personal Time Management, Stakeholder Management, and Teamwork. Desirable: A degree or equivalent qualification. Relevant IT qualifications such as MCP, CompTIA, or ITIL v4. Experience in the Healthcare sector. Knowledge of Cloud Computing. About Us: SYNLAB UK & Ireland work closely with clinicians, hospitals, occupational health providers and clinical researchers to deliver comprehensive pathology services. We thrive in diverse environments, which is mirrored in our workforce, clients, customers, suppliers, communities, and partners. We believe that an inclusive workplace culture is essential for attracting and retaining talented individuals, and for building a sustainable, high-performing workforce. Our staff are crucial to our mission of making a positive impact on healthcare. We foster a culture of continuous personal development, providing scientists and staff with the support and resources needed to acquire new skills and advance their careers through learning and development opportunities, coaching, and clear career pathways. We encourage an open and collaborative culture where leaders act as role models, facilitate two-way communication, engage transparently with staff and stakeholders, and actively seek feedback and suggestions. Please note that we reserve the right to close any adverts once we have received a sufficient number of applications. If you decide to apply for this post but do not hear back from us within two weeks of your application, please assume that you have not been short-listed on this occasion. SYNLAB UK & Ireland is committed to equal opportunities and does not unlawfully discriminate based on any status or condition protected by applicable UK employment law. Please click the APPLY button to complete your application for this role. Candidates with the relevant experience or job titles of; VMWare, Microsoft Servers, Senior IT Technical Support, IT Systems Engineer, IT Systems Technician, Infrastructure Engineer, Senior IT Engineer, 3rd Line Support Engineer, Senior Network Support, Server Support Technician will also be considered for this role.

Our client, a leading company in the Defence & Security sector, is currently seeking a data-driven and passionate Data Scientist with SC or eDV clearance to join their team. This permanent position offers the opportunity to work on complex data problems and deliver innovative solutions that drive real impact. Key Responsibilities: Leading client projects and providing subject matter expertise. Working in scrum-like environments for iterative and 'fail-fast' work and innovation. Assessing clients' business and technical needs to identify opportunities for data science usage. Solving problems using data science techniques and in a scientifically robust fashion. Identifying relevant data sources and leveraging them to meet client needs. Modelling various forms of data for efficient data science use. Investigating and analysing data to uncover meaningful insights. Applying statistical and evidence-based techniques to inform insights and actions. Communicating technical content appropriately both internally and to customers. Building maintainable code using existing or novel data science techniques. Designing, evaluating, and implementing data science and machine learning techniques. Developing scalable models and algorithms for deployment in production environments. Applying ethical principles in handling data. Delivering high-quality work to agreed timelines and taking the initiative. Supporting client engagements, including pitches and presentations. Contributing to the company strategy and helping to shape the future. Job Requirements: DV Cleared (2023, 2024, 2025) or holding DV Clearance. Experience in data science, machine learning algorithms, and data engineering. Industry experience in consultancy, engineering, or data science. Significant experience with cloud-based infrastructure (e.g., AWS, Azure, GCP). Proficiency in Python and relevant data science libraries. Experience in using CI/CD tooling for code deployment and testing. Knowledge of database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases). Understanding of coding best practices, design patterns, and versioning. Strong interpersonal skills and the ability to communicate effectively with clients and colleagues. Benefits: Joining a dynamic and agile organisation. Opportunities for professional growth and development. Working in an environment that values transparency, fairness, and daring. Collaborative and respectful work environment. Hybrid working model with 2-3 days in the office or on a client site. If you are a skilled Data Scientist with the necessary clearance and a passion for technology and problem-solving, we would love to hear from you. Apply now to join our client's innovative and forward-thinking team.

Explore AI/ML solutions to tough physics problems in the Defence domain This research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working on similar problems spread across the country. Their work is highly experimental, and it is understood that not all projects succeed, even failed projects contain valuable insights. You will be building upon cutting-edge ML techniques such as transformers and reinforcement learning to create novel multi-modal solutions. Examples include sensor fusion systems, physics-informed neural networks for simulations, and multi-purpose autonomous robots. Projects will be defence focused but may include offensive capabilities. Please note, as projects are defence related, you will need to qualify for UK security clearance to be considered for this role. Requirements: PhD or equivalent professional experience in a field that demonstrates significant understanding of both computer science and advanced statistical or numerical methods Practical experience applying ML techniques to solve real-world problems Knowledgeable in conducting and publishing (as first author) high-quality research for academic journals Team leadership experience While not required, both a good understanding of RF physics and previous involvement in defence related research projects would be highly beneficial. This team has an academic and welcoming work environment where ideas are judged on merit and good work rewarded fairly. Due to the research heavy nature of projects, the team can often work from home and be in the office as little as one day each week. The office itself is located in central London very close to major public transport links making it an easy commute from either within London or the surrounding area. Initially this is an 18-month contract with the expectation of extending this as more funding is released. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27404 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Recode the Future of Travel. Power Human Potential with AI. At Travel Counsellors, we're redefining what it means to travel - with AI-driven experiences built around deep human connection. We've spent 30+ years empowering over 2,200 independent travel entrepreneurs across the globe. Now, with an award-winning culture and explosive digital growth, we're building the next-generation AI capabilities that will revolutionise our personal travel platform, Phenix. We're not here to follow trends. We're here to set them. This is your chance to be at the centre of something extraordinary - shaping how AI and software engineering converge to create magical, meaningful travel experiences. About the Role Your Mission Join our high-impact squad of engineers and AI innovators as a Senior AI Engineer to architect, build, and evolve TC Co-Pilot - our intelligent assistant embedded deep within our tech ecosystem. This is a hands-on engineering role where your code directly amplifies the power of humans, helping our Travel Counsellors work smarter, faster, and more creatively than ever before. You'll build AI into the heart of our customer journeys using large language models (LLMs), recommendation systems, voice interfaces, and generative tools - all grounded in scalable, production-ready code. What You'll Be Doing Engineer AI-first systems: Bring LLMs, recommendation engines, and natural language interfaces into our platform, from prototype to production. Own key backend services: Use .NET Core/C# to build scalable APIs and services that connect human intent with machine intelligence. Build RAG-powered workflows : Leverage retrieval-augmented generation, context-aware orchestration (MCP), and internal datasets to generate real-time, contextual insights. Collaborate across disciplines: Work hand-in-hand with product designers, data scientists, and our AI strategy leads to embed intelligent features into everyday user flows. Stay ahead of the curve: Keep a critical eye on emerging AI trends, applying what works, discarding the hype, and shaping the future of our AI stack. Benefits Competitive salary + annual bonus Flexible hybrid working Career development opportunities 25 days holiday (increasing to 28 after 5 years) Enhanced Maternity/Paternity pay 1 day paid charity day Company events and incentives 3x salary death in service benefit Pension scheme Private Medical Insurance or Healthcare Cash Plan Free breakfast and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like Pinecone or MongoDB Atlas Vector Search Solid engineering practices: TDD, CI/CD pipelines, DevOps tooling, and secure deployment at scale Your code could power the next generation of travel - become our Senior AI Engineer today.

Data Scientist - GCP 500- 550 per day (Inside IR35) 2 Days Onsite - Isleworth, West London 6-Month Contract (Extendable) 83zero are partnered with a global leader in media and broadcasting, looking for an experienced Data Scientist to support a business-critical project. You'll be joining a collaborative team of data scientists and engineers to build and refine machine learning models that deliver genuine commercial impact. What You'll Be Doing: Work closely with fellow data scientists to explore how AI/ML can unlock insights and improve decision-making. Perform advanced analysis on large, complex datasets using statistical and modelling techniques. Build, test, and tune ML models (especially NLP or computer vision) using Python and modern ML libraries, all within Google Cloud Platform (GCP) . Optimise models for accuracy and performance, ready for product integration. Stay up-to-date with the latest developments in data science and AI to drive innovation. Present insights, results, and model performance clearly to both technical and non-technical stakeholders. Ensure your workflows are reproducible and well-documented, including experiment tracking and model lineage. What You'll Bring: 3+ years' experience building and deploying ML models, ideally in NLP or computer vision domains. Expert-level Python and SQL, with solid experience using libraries like Pandas, Scikit-Learn, TensorFlow, etc. Proven experience working with BigQuery and big data pipelines on GCP . Deep understanding of statistics, machine learning algorithms, and data modelling. Strong analytical mindset with a knack for turning data into actionable business insight. Excellent communication skills and a strong sense of ethics around data and AI. This is a fantastic opportunity to contribute to an industry-leading team, solving real-world problems with cutting-edge tools over an initial 6-month contract .

Senior AWS Data Engineer - Greenfield Market Data Platform London Vice President Level Location: London - Canary Wharf (Hybrid: 2-3 days/week in office) Salary: Up to around £120,000 + Bonus + Benefits Employment Type: Permanent Industry: Financial Services We're working with a prestigious financial services client on a greenfield data engineering opportunity that's set to transform how market data is accessed and used across the business. This is a rare chance to join a high-impact initiative at its inception, designing and building a cutting-edge Market Data Store (MDS) platform using the latest cloud technologies. This individual contributor role is ideal for a hands-on Senior Data Engineer who thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake , collaborating with data scientists and stakeholders across multiple business units. Key Responsibilities: Design, build, and maintain scalable data pipelines and architectures. Implement secure and efficient data lakes and warehouses to manage high-volume, high-velocity data. Develop advanced data processing and analysis algorithms using Python and SQL. Collaborate with data scientists to deploy machine learning models. Contribute to strategic planning, risk management, and governance initiatives. Act as a subject matter expert, guiding technical direction and mentoring junior engineers. What We're Looking For: Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation , etc. Proficiency in Python and SQL for data processing and analysis. Deep understanding of data governance, quality, and security best practices. Experience working with market data and its applications. Excellent communication and stakeholder management skills. Nice to Have: Experience with Databricks and Snowflake . Exposure to machine learning and data science Why Apply? Be part of a greenfield build with strategic visibility and long-term impact. Work with cutting-edge technologies in a collaborative, forward-thinking team. Enjoy a Vice President-level role with technical leadership and autonomy. Hybrid working model: 2-3 days/week in Canary Wharf office . Interested in learning more? Apply now or reach out for a confidential chat. Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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.

Role Title: Data Scientist ML Engineer Duration: contract to run until 28/11/2025 Location: Birmingham/Sheffield, Hybrid 2-3 days onsite Rate: TBC Key Skills/ requirements Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges. Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize classifiers Qualifications: Programming Skills - knowledge of statistical programming languages like python, and database query languages like SQL, Hive/Hadoop, Pig is desirable. Familiarity with Scala and java is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning - good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques. Data Wrangling - proficiency in handling imperfections in data is an important aspect of a data scientist job description. Experience with Data Visualization Tools like Splunk , PowerBi that help to visually encode data All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Job Title: IT Infrastructure Engineer Location: Basildon, Essex Salary: £47,810 - £54,710 per annum Job Type: Full-time, Permanent About the role: A skilled IT Infrastructure Analyst is needed to support the development and delivery of IT services across Pathology First and SYNLAB UK&I. This role provides direct support to the IT Operations Manager, ensuring our laboratory services have the theoretical and practical IT knowledge required to maintain a quality, compliant, and secure operational environment. The successful candidate will be a key contributor to our team, supporting daily operations and assisting with critical project work. Responsibilities: Your primary responsibility will be to support and maintain our server and network environments, including hands-on, third-line support for Microsoft Operating Systems (Windows 10, Server (Apply online only . You'll monitor and update jobs within the ITSM system, ensuring users are kept informed, and you'll adhere to established Incident Management and Request Fulfilment processes. You'll also be able to help maintain our cybersecurity footprint, making sure all areas of responsibility comply with relevant legislation. A significant part of the role involves collaboration, working with third-party suppliers to resolve issues, performing daily operational checks, and providing planned assistance for IT projects at remote sites as required. Also, you will be responsible for documentation, assisting with the creation and maintenance of Service Desk procedures and the Configuration Management Database, and updating the knowledge base with resolution information. This role offers the chance to continue your personal development through a blend of academic learning and practical experience. About You: Essential: Educated to A-Level or HND level. Proficiency in Desktop and Server Troubleshooting, as well as Network and Firewall Troubleshooting. Experience with Patching, Upgrade Lifecycle, Active Directory Management, and Group Policy Management. Strong knowledge of Microsoft Server OS and Microsoft Desktop OS. Proven ability in Personal Time Management, Stakeholder Management, and Teamwork. Desirable: A degree or equivalent qualification. Relevant IT qualifications such as MCP, CompTIA, or ITIL v4. Experience in the Healthcare sector. Knowledge of Cloud Computing. About Us: SYNLAB UK & Ireland work closely with clinicians, hospitals, occupational health providers and clinical researchers to deliver comprehensive pathology services. We thrive in diverse environments, which is mirrored in our workforce, clients, customers, suppliers, communities, and partners. We believe that an inclusive workplace culture is essential for attracting and retaining talented individuals, and for building a sustainable, high-performing workforce. Our staff are crucial to our mission of making a positive impact on healthcare. We foster a culture of continuous personal development, providing scientists and staff with the support and resources needed to acquire new skills and advance their careers through learning and development opportunities, coaching, and clear career pathways. We encourage an open and collaborative culture where leaders act as role models, facilitate two-way communication, engage transparently with staff and stakeholders, and actively seek feedback and suggestions. Please note that we reserve the right to close any adverts once we have received a sufficient number of applications. If you decide to apply for this post but do not hear back from us within two weeks of your application, please assume that you have not been short-listed on this occasion. SYNLAB UK & Ireland is committed to equal opportunities and does not unlawfully discriminate based on any status or condition protected by applicable UK employment law. Please click the APPLY button to complete your application for this role. Candidates with the relevant experience or job titles of; VMWare, Microsoft Servers, Senior IT Technical Support, IT Systems Engineer, IT Systems Technician, Infrastructure Engineer, Senior IT Engineer, 3rd Line Support Engineer, Senior Network Support, Server Support Technician will also be considered for this role.

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.

Lead Data Engineer- AWSLeeds (Hybrid) About the Business: Our client is a nationally recognised leader in their industry, operating across the UK with a reputation for innovation and excellence. As part of their continued investment in data, they are building a high-performing data function to support business-wide transformation and insights. This is a greenfield opportunity to help shape the future of data engineering in a complex, large-scale environment. The Role: We are seeking an experienced Lead Data Engineer to play a pivotal role in the design, build, and implementation of a new enterprise data platform. The business is currently migrating to AWS, and you will lead the development of a new data lake and associated pipelines, ensuring robust, scalable, and secure data solutions are delivered. You will work closely with architects, analysts, and data scientists, guiding best practices, mentoring engineers, and embedding a modern data engineering culture within the team. Key Responsibilities: Lead the design and delivery of the business's greenfield AWS data platform. Build and optimise scalable data pipelines to ingest, transform, and manage large datasets. Architect and develop a new data lake to enable advanced analytics and reporting. Define and implement data engineering best practices, ensuring quality, security, and governance. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. Mentor and guide junior engineers, supporting their technical growth. Evaluate and recommend new tools, frameworks, and processes to enhance the data ecosystem. Key Skills & Experience: Proven experience as a Senior/Lead Data Engineer in a large-scale environment. Strong expertise with AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena, EMR). Experience designing and building data lakes and modern data platforms. Proficiency with Python, SQL, and data pipeline orchestration tools (e.g., Airflow, dbt). Strong understanding of data modelling, ETL/ELT processes, and distributed systems. Knowledge of data security, governance, and compliance best practices. Excellent leadership, communication, and stakeholder engagement skills. What's on Offer: Greenfield project: the chance to shape and lead the future of data in a nationally recognised business. Competitive salary and benefits package. Hybrid working model, with flexibility around office presence. Career progression opportunities within a high-performing data team. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates