Average Data Scientist salary in Reading

Exciting Opportunity for a Particle Scientist: Postdoc Position!Are you ready to take the next step in your scientific career? Our client is seeking a talented and motivated Particle Scientist for a 1-year postdoctoral position that promises to enhance your expertise in crystallisation processes. Join us on an exciting journey to unlock the intricacies of particle science!Key Responsibilities:In this dynamic role, you will:Conduct in-depth investigations into crystallisation processes to deliver fundamental insights.Scope and evaluate solvent selection to optimise yield and productivity, addressing typical production bottlenecks.Execute solubility solvent screens utilising COSMO predictions and experimental measurements to pinpoint suitable crystallisation solvents.Develop and refine crystallisation processes to maximise yield and purity across diverse chemical routes and solvent systems.Determine crystallisation kinetics in single-solvent systems using 0.1-1L reactors, incorporating PAT monitoring techniques (FBRM, Raman, immersion cell).Generate crystallisation productivity estimates by combining yield, throughput, and process cycle time data.Evaluate PAT feedback crystallisation approaches for enhanced process control.Assess filtration rates in relation to crystal size and shape, informing downstream process decisions.Apply modelling and data-driven approaches to guide solvent selection.Collaborate with modelling colleagues to create predictive tools for process optimisation.Share knowledge and collaborate across sites and functions, fostering a vibrant scientific community.Document and communicate your findings to project teams, influencing resource decisions and cost assessments.Who You Are:We are looking for candidates who possess:In-depth knowledge of crystallisation process development, including nucleation, growth, polymorphism, and yield optimisation.Hands-on experience with PAT tools for monitoring crystallisation (e.g., FBRM, Raman, ATR-UV/Vis, imaging probes).Strong solid-state characterisation skills (DSC, XRPD, microscopy, spectroscopy).An interest or experience in automation, modelling, morphology, and solubility prediction.Practical laboratory skills in conducting crystallisation experiments at 100 mL-1 L scale.The ability to work independently across multiple work packages while managing competing priorities.Strong data analysis capabilities and excellent scientific communication skills.Education Requirements:To be considered for this role, you should have:A PhD in Chemistry, Chemical Engineering, or a closely related discipline with a strong emphasis on crystallisation, solid-state science, or particle engineering.Alternatively, a minimum of 2 years' postgraduate experience in crystallisation process development within an academic or industrial research setting.Why Join Us?This is an incredible opportunity to work in a collaborative and innovative environment where your contributions will directly impact the field of particle science. You will have the chance to expand your knowledge, develop new skills, and collaborate with leading experts in the field.Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Job Title: Senior Data EngineerDuration: 6 MonthsLocation: ReadingDescription:As the Senior Data Engineer within Energy Markets you will be responsible for designing, building, managing, and optimizing data pipelines and the data model used by our Data Scientists and Traders. Working closely with Data Management teams on governance and security as well as business stakeholders around projects and IT teams to deliver these data pipelines and models effectively into production. This role will focus on python development on the Databricks and Streamlit platforms to deliver operational tools and process efficiencies.As part of your role you will:Architect, create, improve, and operationalise integrated and reusable data pipelines, tools and processes. Measuring performance, efficiency and robustness of data provision and best practice process approaches.Deliver commercial value through working with key business stakeholders, IT experts and subject-matter experts and high-quality analytics and data science solutions.Understand that solutions and developments need to fit with the long-term Data Strategy for the analytics platform.Explore the opportunities presented by using the latest advances in technology and tools alongside contributing to ensure an appropriate operational model exists to support solutions in production.Promote a better understanding of data and analytics across business stakeholders.Stakeholder Management & CommunicationPossesses outstanding communication skills and encourages collaboration acrossEM. Building strong relationships throughout the business is crucial to preservingthe trust and respect necessary for the team to continue offering support andguidance.Strong communication and stakeholder management skills, with the ability to leadcross-functional projects and drive adoption of data quality practicesPromote and champion the exceptional work being accomplished.You will need to haveTo be considered for this role, we would love you to have:Extensive experience in programming/query language skills including Python/PySpark and SQL.Data engineering experience - via data preparation, transformation & conversion to allow for rapid processing of system data across a number of different formats & structuresExperience in Databricks, Azure,ADF, Streamlit or alternatives.Excellent technical computing, analysis, design and development skills to a proven professional level.Good understanding of data streaming concepts with experience designing, analyzing(not essential)A good understanding of data modelling, ELT design patterns, data governance, and security best practices.A problem-solving mindset, curiosity, and adaptability - able to operate as a generalist across multiple data domainsA strong background in delivering using cloud-based Microsoft Azure Data and Analytics capabilities, Microsoft DevOps and Agile deliveryExperience with designing, building, and operating analytics solutions using Azure cloud technologiesGuidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

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 TrainingYou 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 ExamThe 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 ProjectsNow 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 RoleOnce 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.