Data scientist jobs in DronfieldCreate job alerts

Materials Scientist – Polymer Processing £35,000–£45,000 (DOE) | Sheffield, UK | Full-time, Permanent Join us in developing the next generation of sustainable materials. Phast is an innovative materials company developing advanced bio-based polymers for high performance applications. Our mission is to replace conventional fossil-based plastics with sustainable alternatives without compromising performance. We're looking for an experienced Materials Scientist to lead the development and scale-up of novel polymer formulations and processing from laboratory concept through to industrial manufacture. This is a hands‑on role suited to someone who enjoys solving complex processing challenges and working with extrusion, compounding and polymer characterisation. This position offers a unique opportunity to influence the development of entirely new material platforms that will be commercialised internationally. You will work at the interface of materials science, polymer engineering and manufacturing, taking ownership of formulation development and processing optimisation. Your responsibilities will include: • Designing and developing new polymer formulations based on bio‑based and biodegradable polymers, • Operating and optimising twin‑screw extrusion process, • Developing compounding recipes using fillers, fibers, plasticisers, impact modifiers and functional additives, • Scaling formulations from laboratory to pilot and manufacturing scale, • Processing materials using extrusion and, where appropriate: injection moulding, compression moulding, thermoforming, film extrusion and filament production, • Characterising polymers using mechanical, thermal and rheological techniques, • Interpreting material data to guide formulation improvements, • Working closely with commercial partners and equipment manufacturers during process development, • Maintaining laboratory equipment and ensuring high quality experimental records, • Supporting intellectual property generation and technical documentation, • Contributing to grant‑funded R&D programmes and collaborative industrial projects, • Ability to travel within UK/EU (up to 10% of the time) We're looking for someone who enjoys practical development work and has a passion for sustainable materials. • MSc or PhD in Materials Science, Polymer Engineering, Polymer Chemistry or a related discipline, • Industrial experience developing polymer formulations, • Experience operating twin‑screw compounders, • Strong understanding of polymer processing principles, • Experience with thermoplastics processing, • Experience with reactive extrusion techniques, such as maleic anhydride grafting for compatibilisation, peroxide‑initiated chain modification, in‑situ polymer compatibilisation, chain extension of biodegradable polyesters, and reactive coupling with fillers or fibres, • Knowledge of polymer additives and their functions, • Experience analysing mechanical and thermal material properties, • Ability to independently design and execute experimentsStrong problem‑solving skills, • Excellent written and verbal communication skills, • Bio‑based polymers, • Biodegradable polymersPolyhydroxyalkanoates (PHAs), • Design of Experiments (DoE), • Statistical analysis, • Rheology, DMA, DSC, TGA, FTIR, SEM You are someone who: • Enjoys working in a fast‑paced start‑up environment, • Likes solving challenging technical problems, • Is curious and innovative, • Takes ownership of projects, • Works well independently and within multidisciplinary teams, • Is practical and enjoys laboratory work, • Is motivated by developing products with real environmental impact, • Salary of £35,000–£45,000, depending on experience, • Starting date: September 2026, • Pension contribution, • 25 days annual leave plus bank holidays, • Opportunity to work with cutting‑edge sustainable materials, • Significant career progression within a rapidly growing company, • Exposure to international collaborations and commercial product development, • Opportunity to contribute to patented technologies and new product launches, • Office and lab facilities at The Innovation Centre, 217 Portobello, S1 4DP, Sheffield, UK At Phast, we're building the future of sustainable polymers. Our technologies aim to eliminate persistent plastic waste while delivering the performance required by demanding industrial applications. You'll join a small, ambitious team where your ideas will directly influence the direction of the company, the products we develop, and the impact we make. If you're excited about translating innovative materials research into real‑world products, we'd love to hear from you. #J-18808-Ljbffr

Join a growing subscription-based technology business where data plays a central role in shaping customer growth, engagement, and retention. This is an opportunity to combine analytics, data science, and stakeholder engagement to drive meaningful business impact. The Company This organisation provides a digital learning platform used by a large and established customer base. They are experiencing strong growth and are investing in their data capabilities to better understand customer behaviour and optimise product performance. You will join a collaborative team with direct exposure to senior leadership. The Role You will use data to understand how customers interact with the platform and identify opportunities to improve acquisition, engagement, and retention. Responsibilities include: • Building predictive models such as churn, engagement, and customer lifetime value, • Analysing customer journeys, product usage, and conversion funnels, • Creating customer segments and behavioural insights, • Conducting exploratory analysis to uncover growth opportunities, • Developing dashboards and KPI reporting for stakeholders, • Working with Snowflake, dbt, SQL, Python, and Power BI Your Skills & Experience • Strong commercial experience in Data Science, Product Analytics, or Advanced Analytics, • Advanced SQL and Python or R, • Experience building predictive and statistical models, • Strong understanding of customer journey, retention, and funnel analysis, • Experience with Snowflake and dbt, • Power BI or similar BI tools, • Experience within SaaS, subscription, or technology-led businesses, • Strong stakeholder management and communication skills What They Offer • Hybrid working with one day per week in Sheffield, • Travel expenses covered where applicable, • Exposure to senior stakeholders and strategic projects, • Modern data stack including Snowflake, dbt, AI-enabled analytics, and machine learning, • Opportunity to influence how a growing business uses data #J-18808-Ljbffr

Data Scientist - AI & Machine Learning Location: UK Contract: 12 months Working Pattern: Hybrid - minimum 2 days per week in the office I'm recruiting for a Data Scientist to join an exciting AI and machine learning programme, where you'll help transform complex business challenges into practical, data-driven solutions. You'll work alongside multidisciplinary teams to frame problems, explore different approaches and develop advanced machine learning models and AI applications. This is an opportunity to contribute to the development of data science products, combining classical ML techniques with emerging LLM-based solutions. Key Responsibilities • Analyse and process large datasets from multiple sources., • Develop and evaluate machine learning models and AI applications using Python., • Apply statistical analysis to interpret results and support informed decisions., • Define problem statements, evaluation metrics and experiment designs., • Contribute to LLM evaluation, prompt engineering and RAG-based approaches., • Work with business stakeholders to communicate findings and model outcomes., • Support the development of data science products and provide technical guidance to junior team members. Key Skills & Experience • Strong Python skills for machine learning and data science., • Experience with classical machine learning and LLM development and evaluation., • Understanding of problem framing and AI/ML evaluation metrics., • Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG)., • Experience designing experiments and working with model cards., • Ability to interpret complex statistical results and communicate findings. For more information or to apply directly, please email. I review applications daily and will contact shortlisted candidates as quickly as possible. JBRP1_UKTJ

Harnham in the United Kingdom is seeking a Product Data Scientist to turn complex data into actionable product insights. You will work across analytics, ML, customer journey analysis, and stakeholder engagement to influence strategy and growth. Based in Sheffield with a hybrid work pattern, you’ll leverage Snowflake, dbt, Python, and leading BI tools to build dashboards, quantify impact, and drive data-driven decisions across product, marketing and success teams. #J-18808-Ljbffr

Product Data Scientist Hybrid - Sheffield (1x day per week) £50,000 - £60,000 Are you a commercially minded Product Data Scientist who enjoys turning complex data into actionable insights? This is an opportunity to join a growing technology-led organisation where data plays a central role in shaping product strategy, improving customer outcomes, and driving business growth. You'll have the chance to work across analytics, machine learning, customer journey analysis, and stakeholder engagement while influencing key business decisions. They are a fast-growing, data-driven organisation that leverages technology to deliver impactful solutions to its customers. With a strong focus on innovation and continuous improvement, they are investing heavily in their data capabilities to support future growth. Their collaborative environment brings together product, commercial, operational, and technical teams to make better decisions through data. As they continue to scale, they are looking for a Product Data Scientist to help unlock deeper insights and create measurable business value. You will: • Analyse customer and user journeys to identify trends, opportunities, and areas for optimisation., • Perform exploratory data analysis to understand product usage, engagement, and conversion behaviour., • Develop predictive models, including churn prediction, engagement scoring, demand forecasting, and propensity modelling., • Build customer segments and behavioural cohorts to support product, marketing, and customer success initiatives., • Translate business questions into structured analytical approaches and actionable recommendations., • Partner closely with engineering and data teams to define metrics and improve data models., • Design and maintain dashboards, reports, and KPI frameworks for business stakeholders., • Communicate complex analytical findings clearly to both technical and non-technical audiences., • Support the adoption of data-driven decision making across the organisation, • Strong commercial experience as a Data Scientist, Product Data Scientist, Product Analyst, or similar analytics professional., • Advanced SQL skills and experience working with cloud-based data warehouse environments., • Strong Python or R capabilities for data analysis, statistical modelling, and machine learning., • Experience building predictive models and applying analytical techniques to solve business problems., • Understanding of customer journey analysis, funnel optimisation, retention analysis, and customer lifetime value metrics., • Experience creating dashboards and visualisations using tools such as Power BI, Tableau, Looker, or similar., • Ability to engage with stakeholders, gather requirements, and translate business needs into analytical solutions., • Experience working with modern data platforms and analytics engineering environments is beneficial., • Salary of £50,000 - £60,000., • Hybrid working arrangement based in Sheffield., • Opportunity to influence product and business strategy through data., • Exposure to modern technologies including Snowflake, dbt, Python, and leading BI tools., • A collaborative environment with strong cross-functional partnership., • Clear opportunities for professional development and career progression as the data function continues to grow. #J-18808-Ljbffr

An educational publishing company is seeking a Senior Data Scientist to develop Search and Recommendations systems. You will work in a flexible environment (remote, hybrid, or office-based) and lead a team in applying modern data techniques. Strong experience in statistical modeling, machine learning, and Python is essential. The role offers a salary of £60,000 – £80,000, 33 days annual leave, and continuous learning opportunities to make a real impact in education. #J-18808-Ljbffr

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 34,000 people, in over 30 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together. The Senior Data Scientist is responsible and accountable for leading (and overseeing) technical delivery of Arcadis digital and analytical solutions. The Senior Data Scientist will provide expertise through the implementation of these solutions for our customers, maximising the value of their data to solve their most pressing business problems. The role sits within our Asset Management service area, in the Solutions Delivery group. This group serves large asset owning organisations across water, rail and road, government and other sectors. The solutions we provide are a combination of configured products and services, so whilst experience in these sectors is desirable, a curiosity to understand the “why” behind the problem and the ability to contextualize to the sector, are essential. The Senior Data Scientist is responsible for the management and delivery of projects, be required to coach other Junior Data Scientists and Junior Analytics Consultants within the Solution Delivery group and contribute to business development and growth. They will play a key client-facing role throughout the project lifecycle, from requirements gathering and solution demonstrations through to results presentation, training, and supporting adoption of delivered solutions. The Senior Data Scientist will also work closely with other Arcadis teams, including those within the global Solutions Delivery group and Arcadis Product and Technology teams, who are responsible for Arcadis digital products and tooling (such as EDA). Further to this, the Senior Data Scientist will interface with the wider business to provide guidance on future solutions and technical input for analytics solutions and products. • Driving quality and innovation within data analytics solutions and identifying and disseminating best practice in terms of approaches and tooling. This role includes and surpasses the need to align around our standards and ways of working; it requires active contribution to improving our standards into the future., • Manage the delivery of analytical projects to clients ensuring assigned projects are delivered on time, within budget, to high quality and in accordance with project scope., • Develop strong and trusted relationships with client representatives driven by track record and credibility., • Act as analytics solution architect, ensuring that the design fully meets the client’s needs and wherever possible has the potential to be offered to other clients with minimal re-work to maximise future revenue., • Manage outputs and quality throughout delivery of a project ensuring all work packages align to the project scope., • Peer review of reports, dashboards and code produced by colleagues., • Provide support for business development including:, • Delivery of technical sales support including software demonstrations., • Writing proposals for client projects and scope changes and convert them to sales., • Identifying opportunities to generate additional revenue and develop new revenue streams., • Ensure the services and software delivered fully meets client expectations and delivers value in terms of realisation of business benefits. The ideal candidate will have a background in solution deployment and analytics consultancy, ideally within a physical asset owning company context. They will have good communication and organisational skills. They will have a strong understanding of advanced analytics techniques such as optimisation and general numerical modelling. A keen interest in the latest technologies is important, to help ensure that our work stays on the cutting edge. More importantly than these technical skills, however, we are looking for someone to be an analytics leader, pushing forward the boundaries of what we do, and the standards expected of the wider analytics team. The successful candidate will need to be resilient and maintain a positive attitude when faced with challenges, be an excellent problem-solver, and be happy to be out of their comfort zone. They will need to have excellent communication skills, not just at a technical level, but also with more business-focused colleagues. They will not shy away from a challenge and will stand up and be counted. They will never be satisfied and always look to find the next improvement in what Arcadis does, and how we do it. • Experience of delivery of analytical projects in a consultancy environment., • An effective communicator who is credible, confident and articulate. Able to communicate complex technical detail (both verbal and written) to non-technical audiences., • Proven ability in presenting methodologies and results to all levels in a business environment., • Demonstrable skills in data collection and interpretation., • Experience coaching other technology professionals at various levels., • Ability to simplify the complex using different communication styles and navigate differing stakeholder points of view., • Understanding of investment models, assets and systems of assets, including Optimisation (linear and non-linear), Prioritisation and Monte Carlo analysis., • Experience of working for a large asset owning company, or on projects for such companies, would be advantageous., • Predictive and/or prescriptive analytics and machine learning., • Practical experience of mathematical and statistical analysis and modelling skills, including sensitivity and scenario analysis of analytical models., • Demonstrable use of R, Python, Matlab, SAS, SPSS or similar statistical packages to process data and carry out advanced analytics techniques., • Experience in advanced data visualisation techniques along with tools such as Qlik, Power BI and open source visualisation tools., • Experience working with professional coding technologies such as Git and Docker. Experience working with modern cloud technologies such as Azure and Fabric. We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It’s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You’ll do meaningful work, and no matter what role, you’ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We believe that by working together diverse people with different experiences develop the most innovative ideas. Equality, diversity and inclusion is at the heart of how we improve quality of life and we work closely with our people across six ED&I Workstreams: Age, Disability, Faith, Gender, LGBT+ and Race. A diverse and skilled workforce is essential to our success. #J-18808-Ljbffr

Data Scientist to join our Global Technology Division, focused on predictive enterprise optimization and internal mobility platforms.You will design and deploy recommendation models and matching indexes balancing business constraints with operational overhead.You will collaborate with upstream data

Harnham in the United Kingdom is seeking a data-focused analytics professional to shape customer growth through advanced analytics and stakeholder collaboration within a growing subscription-based tech business. You will build predictive models, analyze journeys, and develop dashboards using Snowflake, dbt, SQL, Python, and Power BI, with hybrid work including one day per week in Sheffield. #J-18808-Ljbffr

Are you a commercially minded Product Data Scientist who enjoys turning complex data into actionable insights? This is an opportunity to join a growing technology-led organisation where data plays a central role in shaping product strategy, improving customer outcomes, and driving business growth. You'll have the chance to work across analytics, machine learning, customer journey analysis, and stakeholder engagement while influencing key business decisions. They are a fast-growing, data-driven organisation that leverages technology to deliver impactful solutions to its customers. With a strong focus on innovation and continuous improvement, they are investing heavily in their data capabilities to support future growth. Their collaborative environment brings together product, commercial, operational, and technical teams to make better decisions through data. As they continue to scale, they are looking for a Product Data Scientist to help unlock deeper insights and create measurable business value. • Analyse customer and user journeys to identify trends, opportunities, and areas for optimisation., • Perform exploratory data analysis to understand product usage, engagement, and conversion behaviour., • Develop predictive models, including churn prediction, engagement scoring, demand forecasting, and propensity modelling., • Build customer segments and behavioural cohorts to support product, marketing, and customer success initiatives., • Translate business questions into structured analytical approaches and actionable recommendations., • Partner closely with engineering and data teams to define metrics and improve data models., • Design and maintain dashboards, reports, and KPI frameworks for business stakeholders., • Communicate complex analytical findings clearly to both technical and non-technical audiences., • Support the adoption of data-driven decision making across the organisation, • Strong commercial experience as a Data Scientist, Product Data Scientist, Product Analyst, or similar analytics professional., • Advanced SQL skills and experience working with cloud-based data warehouse environments., • Strong Python or R capabilities for data analysis, statistical modelling, and machine learning., • Experience building predictive models and applying analytical techniques to solve business problems., • Understanding of customer journey analysis, funnel optimisation, retention analysis, and customer lifetime value metrics., • Experience creating dashboards and visualisations using tools such as Power BI, Tableau, Looker, or similar., • Ability to engage with stakeholders, gather requirements, and translate business needs into analytical solutions., • Experience working with modern data platforms and analytics engineering environments is beneficial., • Salary of £50,000 - £60,000., • Hybrid working arrangement based in Sheffield., • Opportunity to influence product and business strategy through data., • Exposure to modern technologies including Snowflake, dbt, Python, and leading BI tools., • A collaborative environment with strong cross-functional partnership., • Clear opportunities for professional development and career progression as the data function continues to grow. #J-18808-Ljbffr

We are seeking a Data Scientist to join our Global Technology Division.This role sits within a highly strategic engineering team focused on predictive enterprise optimization and internal mobility platforms.You will hold the keys to a core mathematical engine, designing and deploying sophisticated r

You will coach junior data scientists and analytics consultants, drive client-facing engagement from requirements to adoption, and shape solutions with our product and technology teams. The role focuses on solving complex business problems using advanced analytics, optimisation, and data modelling,

Harnham - Data and Analytics Recruitment in Sheffield is seeking a Product Data Scientist for a hybrid role (1 day per week in Sheffield). The role focuses on turning data into actionable insights to influence product strategy and customer outcomes. You will work across analytics, ML, and stakeholder engagement, building models, dashboards, and KPI frameworks, with exposure to Snowflake, dbt, Python, and modern BI tools. #J-18808-Ljbffr

Amodo Design in Sheffield is seeking scientists to design and run PPE testing programs, from protocols to data collection.

Join to apply for the Senior Data Scientist role at Twinkl Educational Publishing 4 days ago – Be among the first 25 applicants This range is provided by Twinkl Educational Publishing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Job Title: Senior Data Scientist Location: Fully flexible – remote, hybrid or office-based Annual Salary: £60,000 – £80,000 Contract: Permanent Twinkl is on an exciting journey to redefine how we serve our global teaching community through data. We’re building a world‑class data science function to power the next generation of our data platform, with modern tools and practices at our core. Data Science Team You’ll have the opportunity to work in a high‑functioning data product function, learning from experienced data scientists and engineers and using a modern data stack. We offer the freedom to work in whatever way suits you best – whether that’s remote, in our Sheffield office, or a mix of both. You’re encouraged to design algorithmic solutions, take ownership of software design, and develop your skills across the full data science stack. With our focus on impact, you’ll be part of a team that values pragmatic solutions and continuous learning, working on projects that make a real difference to educators worldwide. • We embrace modern data engineering practices and tools, • We champion learning and development, • We believe in empowering engineers to drive technical decisions, • We focus on impact and outcomes over process, • Work closely with engineering and product managers to develop and deliver our Search and Recommendations roadmap, • Oversee the design and implementation of the technical work of your team, ensuring high‑quality coding, modelling, data transformation and analytics, • Lead on delivering the coding, modelling, data transformation and analytics required, with opportunity to develop new approaches such as applying emerging techniques, • Coach and help develop the more junior members of the team, • Own an area of team operations (e.g., Learning & Development) and contribute to prioritisation of the Data Science roadmap, • Built statistical models of real‑world processes that help inform business decisions, • Applied machine learning to a variety of problems that generated business value, • Worked on Search and/or Recommendations systems, • Overseen end‑to‑end delivery of data science products, • Experienced Python developer, • Experienced user of SQL, • Comfortable using version control (Git), • AWS experience, • Enthusiastic, with a growth mindset and a get‑things‑done attitude, • Comfortable working in a cross‑functional team and collaborating with colleagues in design, engineering and product, • Innovator, ready to take responsibility and be accountable for decisions, • Committed to helping others develop and succeed, • Excellent communication, in both speech and writing, • Be curious about how things work and always look to learn more, • Care about building models that are used by real people to deliver the right content for them, • Understand that sometimes "boring" technology and algorithms are the right choice, • Want to work somewhere where you can have real impact, not just maintain the status quo, • Friendly, welcoming and supportive culture, • Flexible working with fully remote and hybrid options, • 33 days annual leave per year, pro rata; entitlement increases to 38 days after 2 years, • Additional day of annual leave – a Me Day – to take time for yourself, • Charity day to volunteer and support a registered charity of your choice, • Westfield Health (including Health Club discount, Westfield Rewards discount and cashback), • Learning and Development opportunities, including internal mobility across departments, • 4× annual salary death‑in‑service life assurance, • Enhanced pension after long service, • Enhanced parental and adoption leave after long service, • Quarterly awards to reward and recognise our employees, • Twinkl Subscription At Twinkl, we encourage diversity, and our doors are open to everyone. We’re committed to creating an inclusive workplace for all. If you need any adjustments during the application process to showcase your abilities, please let us know – we’re here to support you on your journey. #J-18808-Ljbffr