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Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Data Scientist - Model Developer / Statistician Job Title: Data Scientist - Model Developer / Statistician Location: Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. _ about what it’s like working at Capital One UK. About the Role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our business partners. This role will primarily focus on critical business challenges in underwriting; developing and maintaining the models used to make customer lending decisions. We are interested in candidates who have a deep grounding in statistics and experience of Model Risk Management. Experience of working with Open Banking or Credit Bureau data is also welcomed. What you’ll do Develop and maintain the models used by our key underwriting programs, Explore and evaluate data using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. Consult on complex statistical test design, to efficiently learn our way into new areas of the market. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we’re looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Familiarity with Open Banking or Credit Bureau data. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring. Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront – to provide LGBTQ+ support for all associates Mind Your Mind – signposting support and promoting positive mental wellbeing for all Women in Tech – promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Lead Data Scientist /Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. What you’ll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we’re looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront – to provide LGBTQ+ support for all associates Mind Your Mind – signposting support and promoting positive mental wellbeing for all Women in Tech – promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

hackajob is partnering directly with NEXT to hire for this role. \n We are looking for a Lead Data Scientist to join the eCommerce Data Science team. Based from NEXT Head Office in Enderby, Leicestershire with a competitive salary range starting from £66,000 alongside great benefits! \n The Role: \n eCommerce Data at NEXT provides the department and the business the means to see what is working and what is ... \n \n \n ZIPC1_UKTJ

Rather than standard reporting, the focus of this Data Scientist role is to actively innovate on how we process, optimise and leverage data feeds to drive business value across our client. Collaborate with teams from around the business to understand problems, identify automation opportunities and g

As a Lead Data Scientist within Marketing Science at our client, you will build data driven solutions through state of the art machine learning, causal inference and experiment design to measure true impact and make impactful recommendations to the business. As a Lead you manage end to end projects

At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you’ll have the opportunity to work with leading professionals across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology platforms. Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged and supported to constantly reinvent yourself, focusing on skills in demand in an ever changing market. You’ll be working with diverse teams, coming up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Join IBM as an AWS Data Scientist, advising and delivering data, analytics, and AI solutions for public sector clients as they navigate complex business, operational, and societal challenges. Working at the intersection of data science, cloud technology, and consulting, you will help organisations translate data into actionable insights, strengthen decision‑making, and deliver measurable outcomes for citizens and communities. As part of IBM’s AI, Analytics & Data Science practice, you will partner with senior stakeholders and multidisciplinary teams to shape data‑driven strategies, design and implement scalable analytics solutions, and accelerate the modernisation of public sector data estates. Leveraging AWS cloud capabilities alongside IBM’s consulting expertise, you will help clients unlock the value of their data, improve operational performance, and establish sustainable, insight‑led approaches to transformation. Develop and deploy predictive models, machine learning solutions, and data‑driven applications to address public sector challenges. Work with public sector clients to translate complex business and policy challenges into practical data science solutions. Analyse large and diverse datasets to identify trends, improve services, and support evidence‑based decision‑making. Collaborate with multidisciplinary teams to integrate data and AI insights into business and public sector strategies. Design scalable data science workflows and solutions using AWS cloud services. Stay up to date with emerging developments in data science, machine learning, AI, and cloud technologies. Advanced Python with hands‑on experience across AI/ML frameworks including TensorFlow, PyTorch, and Keras. Strong understanding of foundation models, LLMs, generative AI, and modern ML architectures. Practical experience with AWS cloud services for data, machine learning, and AI workloads. Proven ability to architect and deliver production‑ready AI solutions in complex professional environments. Strong consulting, stakeholder engagement, problem‑solving, and technical leadership capabilities. Amazon SageMaker - ML development, training, deployment & MLOps Amazon S3 - Scalable data storage & data lakes AWS Glue - Data integration, ETL & preparation Amazon Redshift & Athena - Data warehousing & serverless analytics Amazon EMR - Big data processing & Spark Amazon Bedrock - Generative AI & foundation models AWS Lambda - Serverless data & AI workflows Amazon QuickSight - BI, dashboards & visualisation Python, SQL, R & PySpark - Data science & analytics As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 5 years. You must be able to hold or gain a UK government security clearance. Experience developing and applying Generative AI, foundation models, and LLM‑based solutions. Familiarity with modern UI and application frameworks, including React, Angular, and Bootstrap. Working knowledge of relational and NoSQL databases, including PostgreSQL, SQL, DB2, and MongoDB. Understanding of Linux and Windows environments and cloud‑based application architectures. AWS Certified Machine Learning - Speciality AWS Certified AI Practitioner AWS Certified Data Engineer - Associate AWS Certified Solutions Architect - Associate IBM Data Science Professional Certificate IBM is committed to creating a diverse environment and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. #J-18808-Ljbffr

At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK. At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you’ll have the opportunity to work with leading professionals across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology platforms. Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged and supported to constantly reinvent yourself, focusing on skills in demand in an ever‑changing market. You’ll be working with diverse teams, coming up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations. Our culture of evolution centres on long‑term career growth and development opportunities in an environment that embraces your unique skills and experience. Join IBM as an AWS Data Scientist, advising and delivering data, analytics, and AI solutions for public sector clients as they navigate complex business, operational, and societal challenges. Working at the intersection of data science, cloud technology, and consulting, you will help organisations translate data into actionable insights, strengthen decision‑making, and deliver measurable outcomes for citizens and communities. As part of IBM’s AI, Analytics & Data Science practice, you will partner with senior stakeholders and multidisciplinary teams to shape data‑driven strategies, design and implement scalable analytics solutions, and accelerate the modernisation of public sector data estates. Leveraging AWS cloud capabilities alongside IBM’s consulting expertise, you will help clients unlock the value of their data, improve operational performance, and establish sustainable, insight‑led approaches to transformation. • Develop and deploy predictive models, machine learning solutions, and data‑driven applications to address public sector challenges., • Work with public sector clients to translate complex business and policy challenges into practical data science solutions., • Analyse large and diverse datasets to identify trends, improve services, and support evidence‑based decision‑making., • Collaborate with multidisciplinary teams to integrate data and AI insights into business and public sector strategies., • Design scalable data science workflows and solutions using AWS cloud services., • Stay up to date with emerging developments in data science, machine learning, AI, and cloud technologies. Bachelor's Degree • Advanced Python with hands‑on experience across AI/ML frameworks including TensorFlow, PyTorch, and Keras., • Strong understanding of foundation models, LLMs, generative AI, and modern ML architectures., • Practical experience with AWS cloud services for data, machine learning, and AI workloads., • Proven ability to architect and deliver production‑ready AI solutions in complex professional environments., • Strong consulting, stakeholder engagement, problem‑solving, and technical leadership capabilities., • Amazon SageMaker – ML development, training, deployment & MLOps, • Amazon S3 – Scalable data storage & data lakes, • AWS Glue – Data integration, ETL & preparation, • Amazon Redshift & Athena – Data warehousing & serverless analytics, • Amazon EMR – Big data processing & Spark, • Amazon Bedrock – Generative AI & foundation models, • AWS Lambda – Serverless data & AI workflows, • Amazon QuickSight – BI, dashboards & visualisation, • Python, SQL, R & PySpark – Data science & analytics, • Experience developing and applying Generative AI, foundation models, and LLM‑based solutions., • Familiarity with modern UI and application frameworks, including React, Angular, and Bootstrap., • Working knowledge of relational and NoSQL databases, including PostgreSQL, SQL, DB2, and MongoDB., • Understanding of Linux and Windows environments and cloud‑based application architectures., • AWS Certified Machine Learning – Speciality, • AWS Certified AI Practitioner, • AWS Certified Data Engineer – Associate, • AWS Certified Solutions Architect – Associate, • IBM Data Science Professional Certificate As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 5 years. You must be able to hold or gain a UK government security clearance. #J-18808-Ljbffr

We are looking for a Data Scientist to join our growing Data Science AI team at NEXT! Based from NEXT Head Office in Enderby, Leicestershire! The Role: As a Data Scientist you will play a crucial part in managing, innovating and optimising our core AI systems and large scale product catalogue (Data feed). Working heavily within DataBricks and Google Cloud Platform, you will focus on enriching our product catalogue feeds, building scalable machine learning solutions and driving continuous improvement in our automated capabilities. Rather than standard reporting, the focus of this Data Scientist role is to actively innovate on how we process, optimise and leverage data feeds to drive business value across NEXT. We are looking for someone with a strong grasp of data science techniques who can build robust models while communicating findings and new AI strategies effectively to various stakeholders. What You'll Take On: Innovate and optimise complex data feeds, ensuring high quality, relevance and performance of our data feeds and pipelines. Collaborate with teams from around the business to understand problems, identify automation opportunities and gather requirements for modelling and advanced analytics. Proactively develop systems detecting trends and anomalies within large data streams, creating presentations or automated reports to recommend algorithmic or business logic improvements. Work closely with data engineers to improve the data collection process (data ingestion & ETL pipelines) and support initiatives for data integrity, normalisation and scalability. Build, deploy, monitor and maintain ML Models. Key use cases include feed optimisation, recommendation algorithms, classification tasks, predictive analytics and MLOps deployments. Continuously evaluate the effectiveness of our models and feed logic, providing recommendations for architecture improvements and performance optimisation. What You'll Bring: Proven years of Data Science experience related to the retail, eCommerce or consumer tech industries (3-4 years). Good analytical & problem-solving skills and excellent attention to detail. Understanding and experience of data science techniques covering statistical analysis, A/B testing, time-series, regression, classification and optimisation problems. Proficient in SQL & Python. Familiarity with data manipulation libraries (e.g. PySpark, Pandas, Numpy) and machine learning frameworks (e.g. scikit-learn, TensorFlow or PyTorch). Experience with MLOps tools (e.g., MLflow, Databricks Model Registry, Unity Catalog, Vertex AI) and version control (Git). Strong coding practices with experience in code optimisation, ETL frameworks and processing large-scale data feeds. Good time management skills with the ability to manage multiple deadlines, priorities and iterative product developments. High-level written and verbal communication skills. Ability to convey complex algorithmic or technical findings to non-technical audiences. Ability to visualise data in Data Studio/Looker Studio or PowerBI. A proactive innovator who is willing to learn different technologies and analytical platforms to improve our tech stack. Desirable / Nice to Have Experience working with Large Language Models (LLMs) and agentic workflow frameworks (e.g. LangGraph, LangChain). Experience developing custom evaluation harnesses to test and validate AI model outputs. Familiarity with Retrieval-Augmented Generation (RAG) architectures or fine-tuning open-source models. TPBN1_UKTJ

This opportunity is only for candidates currently residing in the specified country.Your location may affect eligibility and rates.Please submit your resume in English and indicate your level of English proficiency.At Mindrift , innovation meets opportunity.We believe in using the power of collecti

Flexi-office : We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility.

This opportunity is only for candidates currently residing in the specified country.Your location may affect eligibility and rates.Please submit your resume in English and indicate your level of English proficiency.At Mindrift , innovation meets opportunity.We believe in using the power of collectiv

Flexi-office : We offer an international culture and flexibility through our hybrid/remote working scheme which is designed to foster a culture of mutual trust and working flexibility.

The Role As a Data Scientist in our EU Analytics practice , you will help customers bring treatments to patients faster by transforming how they work with Technology, Data, and AI.

Data Scientist wanted for a UK fashion and home retailer to join the Data Science AI team. Will be responsible for managing and optimizing AI systems and product catalogues using DataBricks.

Freelance Data Scientist to train AI models by designing computational problems, creating Python code for simulations, and verifying solutions. Requires expertise in data science, machine learning, Python, and SQL.

Data Scientist wanted for a UK fashion and home retailer to join the Data Science AI team. Will be responsible for managing and optimizing AI systems and product catalogues using DataBricks.

Primarily remote role with a construction tech company.

Experience 5+ years of experience working as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role. You will also provide technical leadership to other data scientists, contribute to best practices across the team, and help foster a collaborative, data-driven culture within

Title : Data Scientist Job location : Remote, UK (1 day per fortnight in London or Manchester) Description: These job roles are linked directly to free education, and upon completion of our course, you will be equipped to start your new role. Python Able to pass a technical assessment in Python, Jav

Preclinical In-Vitro Toxicology Scientist up to c£70k Base+ Bonus + Benefits. An exciting opportunity has arisen for an experienced In-Vitro Regulatory Toxicology Scientist to join a leading scientific research and product development organisation focused on in-vitro and pre-clinical assessment. Th

Job Description Pfizer UK Undergraduate Programme 2027/2028 \n Clinical Scientist Undergraduate \n \n Medical Evidence Science & Operations \n \n Who can apply? \n Applicants must be completing a placement as part of a degree course at a UK University, either through Year in Industry/Industrial

As a Data Scientist at Cotality, you design and implement ML models and analytics to convert large, diverse datasets into actionable insights. ResponsibilitiesDesign and implement machine learning algorithms and statistical models for large datasets

Experience 5+ years of experience working as a Data Scientist, Machine Learning Engineer, Applied Scientist, or similar role. Experience mentoring data scientists or providing technical leadership within a cross-functional team. Experience mentoring and supporting the development of other data scien

In this role you will identify and develop new flavour ingredient technologies to enhance taste and health in PepsiCo Foods’ products.You will work within the Flavour Science programme to lead projects and run experiments that translate scientific insight into market-ready prototypes.You will coll

Data Scientist role in a UK retail company focusing on customer analytics and AI transformation.

The Clinical Scientist provides medical, scientific and clinical study and project support for multiple, global, Phase 4 vaccine clinical and epidemiology studies in a clinical program. Job Description Pfizer UK Undergraduate Programme 2027/2028 Clinical Scientist Undergraduate Medical Evidence Scie

The Clinical Scientist provides medical, scientific and clinical study and project support for multiple, global, Phase 4 vaccine clinical and epidemiology studies in a clinical program. Job Description Pfizer UK Undergraduate Programme 2027/2028 Clinical Scientist Undergraduate Medical Evidence Scie

This job is with WTW, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.Please do not contact the recruiter directly.Join FINMAR’s Ipswich-based technical management team and help develop the data, reporting and analytical capabilities

Childrens Residential Support Worker Temp to Perm 39 hours per week | £12.Immediate starts available We are currently recruiting for a Childrens Residential Support Worker to join a residential home supporting children aged 513 years with emotional and behavioural difficulties (EBD).This is a

Leading Financial Services client is currently going through a large Data transformation and is looking to hire a number of Senior Data Engineers to join them on this exciting journey.The roles are offering a base between £55,000 and £75,000 + a strong benefits package and flexible working.Our cli

Principal Data Engineer | Leicester (Hybrid, 3 days/week onsite) | £80,000-90,000 You will be responsible for the technical direction, hands on delivery and continuous improvement of a modern data platform.Reporting to the CIO, the role will take ownership of the existing data solution and lead its

We are currently recruiting for a Data Analyst to join our client's team during an exciting period of system and process change.This is a hands-on, operational data role that will support the team as they transition onto and work with new systems.The successful candidate will be responsible for revi