14 jobs found

Lead Data Scientist - Financial Crime (Consulting Environment) Salary: 90,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 85,000 - 110,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.

Job Title: C#/.NET Software Engineer Location: South Cambridgeshire Salary: Up to 70,000 Working Pattern: Hybrid 2 days in office This is a brilliant opportunity for aC#/.NET engineer to join a fast-growing technology company whose software is used by scientists and engineers across the world. You'll be writing code that drives real machines connecting instrumentation, automation systems, and digital workflows that power cutting-edge scientific processes. It's a genuinely hands-on role where your work has direct, visible impact. The Role You'll design and build high-quality software across desktop, embedded, and server environments, working alongside a talented team of architects, engineers, and product managers to deliver robust, user-focused solutions. You'll also contribute to architectural decisions and mentor junior developers. Requirements Strong C#/.NET development experience Strong knowledge of software design principles, testing and DevOps pipelines Experience building Windows applications with XAML Familiarity with IoT protocols such as MQTT and OPC/UA SQL databases and Linux OS experience Comfortable working with AI tools If this role is of interest, please apply below.

Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Biophysical Characterisation Analyst Annual Salary: 32k - 36k DOE Location: Greater Manchester Job Type: Permanent, Full Time Reed Scientific is excited to announce an opportunity for a Biophysical Characterisation Analyst to join our client's GMP/GLP laboratories. Due to year-on-year success and business growth, we are seeking experienced scientists who are proficient in techniques such as c-IEF, CE-SDS, SDS-PAGE, mRNA analysis techniques, and ELISA/Plate based residual impurity analysis, primarily for the analysis of Biopharmaceutical products. Day-to-day of the role: Support a wide array of projects involving routine analysis, method development, method validations, and troubleshooting across varying scales, scopes, and timelines. Plan and perform analytical work, generating and interpreting data, and writing reports when required. Liaise proactively and reactively with others inside and outside the department to provide or obtain information, ensuring effective completion of work. Build relationships and contacts to facilitate future exchange of information. Required Skills & Qualifications: BSc / MSc/ PhD in Biochemistry/Chemistry or a related scientific discipline is essential. In-depth knowledge of Biological Characterisation with extensive experience using Biophysical and Chromatography techniques for the analysis of biopharmaceuticals, such as UV, CD, NMR, FTIR, fluorescence, SEC-MALS, AUC, DLS, and DSC. Comprehensive experience working in a GxP regulatory laboratory with a strong understanding of GLP/GMP principles. Strong method development and validation experience. Experience working with large molecules and proteins. Experience in Oligonucleotide & mRNA analysis would be very advantageous. Demonstrable experience in training, supervising, and coordinating the work of more junior scientists. Good practical laboratory and problem-solving skills. Good IT literacy skills. Clear written and verbal communication skills with the ability to clearly convey processes, results, and key messages and able to build rapport quickly and effectively. Benefits: Competitive salary and benefits package. Opportunities for professional growth and development. Supportive team environment. How to Apply: If you are interested in the Biophysical Characterisation Analyst role and meet the qualifications, please submit your CV detailing your relevant experience and why you are interested in this position. We regret to inform that we cannot provide sponsorship to work in the UK.

Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. 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. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Senior Data Scientist. Are you a passionate data scientist with a knack for transforming complex data into actionable insights? Do you thrive in a vibrant environment where your analytical skills can shine? If so, we have an exciting opportunity for you. Our Client: Our client is a dynamic marketing, advertising, and public relations agency committed to delivering innovative solutions to a wide range of high profile clients. With a strong focus on data-driven strategies, our client celebrates creativity, collaboration, and excellence. What You'll Do: As a Senior Data Scientist, you will play an important role in shaping data strategy and driving impactful marketing decisions. Here's what you can expect: Lead Data Projects: Take charge of end-to-end data science projects, from hypothesis generation to model deployment. Collaborate Across Teams: Work closely with marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear and engaging manner, making data relatable and actionable. Mentor Junior Team Members: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaboration. What We're Looking For: Our client is seeking a talented individual with a blend of technical expertise and a flair for creativity. Here's what you should bring to the table: Experience: Minimum of 5 years relevant experience in data science or a related field, preferably within marketing or advertising. Technical Skills: Proficiency in Python, R, SQL, and experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). Analytical Mindset: Strong problem-solving skills with the ability to interpret complex datasets and derive meaningful insights. Communication Skills: Excellent verbal and written communication skills, with a knack for storytelling through data. Education: A degree in Data Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). What you'll get in return Exciting Projects: Work on diverse and challenging projects that push the boundaries of data science in marketing. Supportive Environment: Be part of a collaborative team that values your input and encourages innovation. Career Growth: Our client invests in your professional development with opportunities for training, workshops, and conferences.

Lead Data Scientist - Financial Crime Salary: 95,000 - 120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead Data Scientist will play a key role in leading projects end-to-end, combining strong analytical capability with stakeholder engagement. This is an important hire for the business as they continue to expand their data offering and support clients with increasingly complex challenges. The Opportunity This role offers a blend of hands-on data work and strategic input, ideal for someone looking to move into a more consultative environment while remaining close to the technology. You will be responsible for: Leading data-focused projects across financial crime and fraud Analysing large datasets to identify trends, risks, and opportunities Supporting the design and improvement of monitoring and detection processes Working closely with business and technical stakeholders to deliver solutions Translating data insights into clear, actionable recommendations Supporting junior team members and contributing to overall project delivery Contributing to broader initiatives across the business where relevant What sets this apart: A mix of data science, analytics, and stakeholder engagement Exposure to a variety of clients and challenges Opportunity to influence how data is used to manage risk A pathway into a more strategic and advisory-led role What's in it for you? Competitive salary ( 95,000 - 120,000) + bonus Hybrid working Ongoing training and development Clear progression opportunities Exposure to a range of projects and clients Supportive and collaborative team environment Skills and Experience Strong background in data, analytics, or data science Experience working within financial services, risk, or fraud-related domains Ability to work with stakeholders and communicate insights effectively Experience working with modern data tools and technologies If you would like to be considered for the Lead Data Scientist Role, please apply below with your CV.

AI Engineer Salary: Up to £85,000 + Benefits Location: Hybrid - 3 days per week onsite in London Working Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major cloud platforms including AI and ML services Solid foundation in software engineering principles for scalable, production-grade systems Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases Proven experience delivering full-stack AI or ML systems within enterprise environments Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows Excellent communication and stakeholder management capability Experience supporting proposals, client-facing discussions or technical presentations If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI, Artificial Intelligence

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

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.

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: A key contributor within the Team, having the following responsibility and accountability. Responsible for planning, execution and reporting of all aspects of project related work. Hands on approach to all aspects of work to ensure mentorship and team strength is achieved. Achievement of all departmental and project related goals in a timely manner. Accountable for applying appropriate scientific rigor, building in quality and managing risk to ensure good quality, scientific outcomes. Demonstration of collaborative and positive behaviors. An appropriate level of knowledge and experience will be required to mentor junior team members and provide key scientific expertise as input to various projects within the department in support of functional matrix teams for robust, phase appropriate development of oral liquid and solid dosage drug products. Essential Functions/Responsibilities Maintain and provide in-depth knowledge and expertise on the drug development process and relevant new technologies. Practical and theoretical understanding in a range of scientific skills and technologies associated with drug substance and drug product development/ manufacture at all lifecycle stages. Demonstrate competency and innovation on a range of complex skills and instruments, associated with the characterisation of oral liquid and solid dosage forms. Contribute toward process driven continuous improvement initiatives with consideration for the team, the department, and the company. Record and review all experimental outcomes in an appropriate format and support junior scientists to ensure the same high standards are maintained across the team. Lead and mentor in the design of protocols and experimental work Report and communicate project outcomes in an appropriate manner. Identify and resolve promptly any problems occurring at any phase of a study, escalating to the line manager where necessary. Maintain all areas of the laboratory in a safe, clean and tidy state. Maintain a safety first approach and ensure that cGxP is followed at all times. Ensure training record is maintained to cGxP. Ensure all applicable quality measures are met and adhered to. Assist in the creation and maintenance of all relevant cGxP documents. The role holder is responsible for maintaining cGxP and Health and Safety Knowledge relevant to the role. Write or constructively review S.O.P's, Protocols, technical reports, risk assessments as required. Required Knowledge, Skills, and Abilities Relevant working knowledge of material science principles applied to pharmaceutical development, including excipient functionality, solid-state characterization, and stability. Experience with material characterization techniques such as DSC, TGA, XRPD, SEM, Microscopy, particle size analysis, and rheology. Understanding of material properties and their impact on drug product performance, manufacturability, and lifecycle development. Knowledge of regulatory expectations related to material science in pharmaceutical development (e.g., ICH guidelines, compendial standards). Demonstrated experience in supporting drug substance, formulation and process development through material science insights. Ability to troubleshoot technical issues related to material attributes and propose science-based solutions. Proven communication skills, including technical writing, presentation of complex data, and cross-functional collaboration. Authorship of technical documentation, including material risk assessments, characterization reports, and regulatory submission content. Ability to coach and mentor junior scientists and contribute to capability building within the team. Required/Preferred Education and Licenses Degree plus appropriate industry experience or PhD in a relevant field with appropriate industry experience. Awareness of risk management principles desirable. Awareness of project management principles desirable. Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

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.