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Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories.Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.

Embedded Data Scientist - 6-Month Contract - Inside IR35 - Hybrid - Heathrow area Lorien is looking for an Embedded Data Scientist to drive process optimisation across my client's operations (MRO, maintenance, supply chain). This role requires consultancy-level expertise in AI/ML and a strong ability to translate insights into business impact. Key Responsibilities • Optimise operational processes, resource use, and maintenance workflows, • Build and deploy predictive/prescriptive models into live business environments, • Identify bottlenecks and deliver practical efficiency improvements, • Partner with business teams to turn insights into operational impact Requirements • Strong academic background, • Proven experience in process optimisation in real operations, • Strong Python + ML skills, • Experience delivering production-ready solutions If interested apply NOW for immediate consideration!

We are recruiting a Digital Pharmacology Scientist to join a leading Pharmaceutical company based in the Berkshire area. As the Digital Pharmacology Scientist, you will be responsible for supporting the expansion of digital capabilities within an In Vitro Pharmacology department. This is an initial 12 month contract but will likely offer extension. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Digital Pharmacology Scientist will be varied however the key duties and responsibilities are as follows: 1. As the Digital Pharmacology Scientist, you will support the progress of IVP towards their digital ambitions by building, rolling out, and maintaining new digital tools., 2. As the Digital Pharmacology Scientist, you will assisting peers with complex and large-scale data analysis, and improving existing tools within the department., 3. As the Digital Pharmacology Scientist, you will presenting key findings or novel tools at internal meetings, and interpreting findings clearly for the wider team., 4. As the Digital Pharmacology Scientist, you will be performing lab-based tasks including routine screening assays, tissue culture, and using platforms such as flow cytometry and high content imaging. ROLE REQUIREMENTS: To be successful in your application to this exciting role as the Digital Pharmacology Scientist, we are looking to identify the following on your profile and past history: 1. Relevant degree in a scientific discipline., 2. Proven industry experience in bioinformatics, including large-scale bioscience data analysis and digital tool generation., 3. A working knowledge and practical experience with at least one programming language (e.g. Python, R, MatLab). Key Words: Digital Pharmacology / In Vitro Pharmacology / Bioinformatics / Data Analysis / Digital Tools / Life Sciences / Drug Development / Flow Cytometry / High Content Imaging / Tissue Culture / Scientific Communication / digital skills / lab-based techniques / bioinformatics / data analysis / high-content imaging / molecular screening / collaborative team / scientific communication / Python / R / innovative research / Pharmaceutical / Biotech / Biotechnology Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.

A successful pharmaceutical company is looking for a Research Scientist or Senior Scientist with expertise in antibody/protein biophysical characterisation to join its Antibody Humanisation and Engineering team. This is an excellent opportunity for a delivery-focused scientist who enjoys generating high-quality experimental data and wants to contribute to the future of AI/ML-driven antibody engineering and digital drug discovery. You’ll work within a collaborative, multidisciplinary team of wet-lab and computational scientists, helping to generate critical biophysical datasets that support the development of next-generation antibody optimisation technologies. Key responsibilities: • Generate and analyse biophysical data for antibody panels • Assess molecule quality and purity prior to characterisation • Evaluate properties including affinity, thermal stability, self-interaction and non-specific binding • Collaborate closely with computational scientists to support AI/ML model development • Present and communicate data across scientific teams • Support development of new antibody characterisation methodologies Ideal background: • PhD or equivalent industry experience in antibody/protein biophysical characterisation • Hands-on experience with techniques assessing affinity, stability and developability e.g. SPR, BLi, DSC, DSF, DLS, mass photometry etc. • Strong or...

Your new company You'll be joining a global biopharma company advancing next‑generation antibody therapeutics. You'll work within a collaborative research environment focused on innovative immune cell engager programmes and data‑driven antibody discovery working across multiple therapy areas. Your new role As a Senior Research Scientist in antibody discovery, you will contribute to the identification and characterisation of high‑quality antibody candidates using advanced single B cell approaches. Key responsibilities include: Discovering antibody variable domains using single B cell antibody discovery platforms Supporting immune cell engager programmes through generation of high‑quality antibody candidates Carrying out molecular biology workflows including PCR, library preparation, and NGS sample handling Helping analyse antibody sequence data using existing bioinformatics tools, pipelines, and AI‑enabled approaches Expressing and characterising antibodies using in vitro assays such as ELISA, flow cytometry, and BLI Interpreting, documenting, and presenting experimental data to project teams Collaborating across discovery, platform, and computational teams to align strategy and timelines Engaging with emerging technologies to enhance antibody discovery approaches This is initially a 12 month contract that has the potential to extend. What you'll need to succeed You should have: ...

Your new company You'll be joining a global biopharmaceutical organisation advancing novel therapeutics from research into the clinic. You'll work in a highly collaborative analytical sciences team applying advanced mass spectrometry to support molecular characterisation and drug development. Your new role As a Scientist in mass spectrometry, you will support protein characterisation projects, contributing to the analysis of therapeutic proteins and the investigation of their structure, function, and degradation. There are 2 hires for this team, each of which is initially a 12 month contract that has the potential to extend. Key responsibilities include: Performing mass spectrometry‑based analysis of protein therapeutics Supporting characterisation studies of post‑translational modifications, impurities, and degradation pathways Applying complementary analytical techniques including HPLC and electrophoresis where required Troubleshooting analytical methods and instrumentation to ensure data quality Maintaining accurate records and contributing to technical reports, protocols, and regulatory documentation Communicating analytical results and technical issues to project teams and stakeholders Supporting the development and implementation of new analytical methods Ensuring proper maintenance and availability of laboratory equipment and consumables, including LC-MS systems What you'll need to succeed ...

R&D applying AI and algorithms to real-world signals/comms, sensor fusion.London, hybrid working; to £58k plus benefits.This senior position has a three-year term with a leading research institution and has strong Data Science elements.As a PhD-qualified scientist with further research or commercia

Research Scientist needed for antibody biophysics to generate and analyze biophysical data for antibody panels and support AI/ML model development.

Data Scientist sought for AI tech start-up to design and deploy bespoke AI agents.

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Senior / Principal Scientist – Molecular Pharmacology Location: Reading Salary: Competitive Salary + Benefits Package We are supporting an innovative biotechnology organisation in the search for a Senior or Principal Scientist with expertise in molecular pharmacology and biologics discovery. This is an exciting opportunity for an experienced scientist to play a key role in advancing next-generation therapeutic antibody programmes within a collaborative and fast-paced research environment. This position would suit an experienced industry scientist with strong expertise across in vitro pharmacology, assay development, molecular and cell biology, and biologics discovery. The successful individual will contribute both strategically and hands-on, helping shape discovery programmes while mentoring scientific colleagues and driving innovation across the organisation. The Opportunity As part of a growing discovery team, you will lead and contribute to the development of novel antibody and biologic therapeutics targeting important disease pathways. You will work cross-functionally with research and development teams, applying scientific insight and technical expertise to support candidate identification and progression. This role offers the opportunity to influence scientific direction, implement new technologies, and contribute to the continued growth of a highly collaborative biotech environment. Key Responsibilities Lead the design, optimisation, validation, and execution of in vitro pharmacology and bioassay strategies Develop and implement screening cascades to identify and characterise lead therapeutic candidates Conduct mechanism-of-action studies and support preclinical biologics discovery programmes Drive assay development across a range of target classes and screening formats, including high-throughput approaches Evaluate and introduce innovative technologies, instrumentation, and methodologies Collaborate closely with multidisciplinary teams across discovery, development, and manufacturing functions Mentor and support scientists across varying experience levels, fostering a collaborative team culture Analyse, interpret, and present scientific data to internal stakeholders and external collaborators Contribute to scientific strategy and support partnerships with external organisations where required About You We are looking for a scientifically curious and collaborative individual with a strong background in pharmacology and biologics discovery. You will bring a combination of technical expertise, leadership capability, and a proactive approach to problem-solving. Essential Experience & Qualifications PhD in Pharmacology, Immunology, Molecular Biology, Cell Biology, Biochemistry, or a related scientific discipline Significant industry experience within biotechnology or pharmaceutical drug discovery environments Strong expertise in in vitro pharmacology, assay development, and molecular/cellular biology techniques Experience working on antibody or biologic therapeutic programmes Proven ability to lead scientific projects and mentor research teams Strong understanding of pharmacology principles and mechanism-of-action studies Experience analysing and interpreting complex biological datasets Excellent communication and collaboration skills across multidisciplinary teams Apply Now If you are an experienced scientist looking to make a meaningful impact within an ambitious and forward-thinking biotech environment, we would welcome your

We are working in partnership with a global pharmaceutical organisation to recruit a Bioinformatics Scientist to join our clients In Vitro Pharmacology (IVP) team supporting drug discovery programmes through the analysis and interpretation of complex biological and screening data. This hybrid role combines computational data analysis with hands-on laboratory collaboration to support the identification and optimisation of novel therapeutic molecules. Working closely with scientists across the department, you will develop and apply analytical workflows and automated data analysis tools to support high-throughput screening activities and large-scale assay datasets. The role will also contribute to the implementation and optimisation of new analytical capabilities and workflows within the IVP function. Alongside the computational work, the position includes partial lab-based responsibilities supporting routine screening assays and translational research activities. Key Responsibilities • Analyse and interpret complex biological and high-throughput screening datasets, • Develop and optimise analytical workflows and automated data analysis tools, • Contribute to optimisation of screening platforms through data-driven insights, • Support laboratory-based screening activities including tissue culture and cell-based assays, • Work with platforms such as flow cytometry, reporter assays and high-content imaging, • Maintain accurate records of analyses, experiments and workflows Skills & Experience • PhD with a strong focus on Bioinformatics or a related discipline, or 3+ years’ relevant industry experience, • Proficiency in Python, R or MATLAB, • Experience working with complex assay or screening datasets, • Understanding of biological assay analysis and data interpretation, • Strong communication and collaboration skills, • Prior laboratory experience is desirable but not essential Computational Scientist, In Vitro Pharmacology, Assay Informatics, Drug Discovery, Computational Biology, Biological Data Analysis, High-Throughput Screening, HTS, Flow Cytometry, High Content Imaging, Cell-Based Assays, Dose Response Analysis, Pharmacology, Python, R, MATLAB, Workflow Development, Assay Analytics, Translational Science, Tissue Culture, Screening Platforms, Oncology, Immunology, Biotechnology, Pharmaceutical, Slough, Berkshire, Maidenhead, Uxbridge, Reading, Windsor, Bracknell, High Wycombe, West London, Oxford, Cambridge, London, VRS9454MP

Your new company You'll be joining a global pharmaceutical company advancing next‑generation antibody therapeutics through cutting‑edge engineering and digital innovation. You'll work in a collaborative environment at the interface of wet‑lab science and computational modelling. Your new role You'll be working in a well-established and experienced team focused around antibody development to support the generation of novel therapeutics by generating high‑quality biophysical data to support antibody optimisation and the development of AI/ML‑driven design tools. This is initially a 12 month contract role that has the potential to extend. Main responsibilities will include: Generating and analysing biophysical data for panels of antibodies and proteins Assessing molecule quality prior to characterisation, including purity and stability Performing assays to evaluate binding affinity, thermal stability, self‑interaction, and non‑specific binding Collaborating with computational colleagues to ensure data is formatted for digital and AI‑driven analysis Supporting evaluation of in silico optimisation tools through experimental validation Reporting and communicating findings to multidisciplinary teams Contributing to the development of new methods in antibody characterisation Working flexibly to deliver high‑quality data against project timelines This is a fully lab-based role. What you'll need to succeed A strong candidate will combine biophysical expertise with a collaborative and delivery‑focused mindset.Key requirements: An MSc/PhD or equivalent experience in biology, biochemistry, or similar with a focus on protein or antibody biophysical characterisation Hands‑on experience with techniques assessing affinity, stability, aggregation, and binding properties; preferably within an industry setting (eg pharma, biotech or CRO) Strong understanding of protein or antibody developability concepts Excellent organisational, communication, and interpersonal skills Ability to work effectively in multidisciplinary wet‑lab and computational teams An interest in computational methods, AI/ML, or digital antibody design is an advantage, as is any exposure to structural visualisation tools (e.g. PyMOL). However, as this is a wet-lab role, computational experience is not essential. Candidates must have the right to work in the UK without sponsorship until at least July 2027 (preferably beyond). No sponsorship is available for this role. What you'll get in return You'll get the chance to impact the company's early pipeline of molecules, as well as working on innovative projects with a highly experienced team. There is also a good day rate on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Keywords: Antibody, Characterisation, Biology, Biotech, Structure, Scientist, Research, Pharmaceutical, Protein, Drug, Discovery, Development, Stability, Affinity, Binding, Developability, Engineering, Humanisation, Assays, Biophysics, Screening, Analysis, Data, AI, Machine learning, Computational, Optimisation, Therapeutics, Modelling, Workflow

You will work hands-on within a small but growing Data Science function, partnering closely with the Data Science Lead, another Data Scientist, and wider data and commercial teams. Working closely with Data Engineers and Analysts to ensure data quality, scalability and smooth model deployment. This

We're bringing on our first Data Scientist. This is a founding data role, structured to start as a focused part-time engagement (≈2–3 days/week). You'll work directly with the co-founder, build our data and modeling foundations from scratch, and ship models that measurably reduce losses.

Mentor and guide junior and senior data scientists, fostering a high-performance, collaborative team environment. Support the development of data strategy frameworks, ensuring alignment with regulatory and compliance requirements. Promote best practices in data governance, model validation, and ethi

Work with structured data, clinical notes and unstructured healthcare datasets. Do you want to build data science solutions that improve lives, not clicks?. A leading UK consultancy is scaling its AI & Data Science team to drive measurable outcomes in the healthcare and public sectors.

Are you a curious and ambitious Computer Science graduate or someone with 1-2 years of work experience looking to launch your career in AI and data science? Join our team of world-class data scientists and AI engineers, and help us build technology that understands written language at scale. As part

We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. Use classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match

Data Scientist/Machine Learning Engineer. Familiarity working with large data sets. Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.

As a Data Scientist, you’ll join a newly formed scrum team alongside Data Engineers and DevOps specialists, working end-to-end from model development through to production deployment. Keeping up to date with emerging tools, techniques, and trends in data science. Around 5+ years’ experience in a

Support data governance, data quality standards, and modelling infrastructure development. A leading international food manufacturer is seeking a Senior R&D Data Scientist to join its central Innovation & Technology function. This role offers the opportunity to work at the intersection of food scien

We’re one of the UK’s largest media companies and we’re looking for a Senior Data Scientist to join our Data Science team who are working on modelling business problems including, our next generation of intelligent pricing, marketing, customer engagement tools. Senior Data Scientist – Media

We’re one of the UK’s largest media companies and we’re looking for a Data Scientist to join our Data Science team who are working on modelling business problems including, our next generation of intelligent pricing, marketing, customer engagement tools. You’ll be able to identify opportunit

We’re partnering with a global business looking for a hands-on Data Scientist who enjoys solving real operational problems with data, not just building models in isolation. Experience in a Data Scientist role. You’ll work with live industrial, sensor, and time series data to uncover failure patt

They’re now looking for a Lead Data Scientist / Chief Data Scientist to take ownership of the technical direction of data science and play a key role in shaping how advanced analytics is applied across the organisation. Chief Data Scientist / Lead Data Scientist. You’ll act as the technical auth

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. Key Respon

Mentor a graduate data scientist. A leading digital-first UK insurer is hiring a Senior Data Scientist to join a specialist pricing innovation team. Have you ever built predictive models on large, messy customer datasets?.

Data Scientist or Senior Data Scientist (Gen AI) | AI Tech Start-Up | £60k-£100k DOE + Sizeable Shares | London/Hybrid (1 day a week in office). We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with a talented Data Scientist or Senior Data Scientist.

Data Scientist – Solar, BESS & Emerging Energy Tech.

Work with structured data, clinical notes and unstructured healthcare datasets. Do you want to build data science solutions that improve lives, not clicks?. A leading UK consultancy is scaling its AI & Data Science team to drive measurable outcomes in the healthcare and public sectors.

This role combines hands-on data science, data engineering, and model deployment, working across the full lifecycle from data acquisition and preparation through to production implementation and monitoring. A pragmatic, hands-on Data Scientist who combines strong modelling expertise with practical d

This role is a foundational Senior Data Scientist hire, focused on defining how AI systems are evaluated and validated. Build and validate synthetic datasets for testing scenarios.

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. New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central Lond

Strong understanding of data modelling, metadata, data quality, model evaluation, benchmarking, and error analysis. Experience in construction, architecture, BIM, building materials, technical product data, catalogues, standards, or compliance-heavy data systems. You will work at the intersection of

A strong culture of learning, development and progression for high-performing data scientists. Data scientists are viewed as strategic partners, not service providers, and are encouraged to challenge, innovate and drive measurable impact. Identify and integrate new data sources to improve pricing ac

Senior Data Scientist – Computational Biology & Drug Discovery. This role is ideal for a scientifically grounded data scientist with a strong computational background who thrives on interpreting machine learning outputs in a biological context — not just building models, but extracting meaningfu