What Jobs are available for Predictive Modeling in the United Kingdom?
Showing 1168 Predictive Modeling jobs in the United Kingdom
Director, Economic & Predictive Modeling, GHEOR
Uxbridge, London
Bristol Myers Squibb
Posted today
Job Viewed
Job Description
**Working with Us**
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
**Join our pioneering group of HTA modelling experts developing cutting edge AI based solutions.**
**Position Purpose**
+ Provide expert modelling, AI, and programming capabilities to GHEOR TA teams
+ Execute market level CE model adaptations using the Bristol Myers Squibb (BMS) GHEOR EPM Generative AI tool suite.
+ Execute and present methods shaping innovative research, panels, publications, education, and external talks to shape the HTA and payer environment - primary focus on AI methods for access & HEOR.
+ Highly competent matrix collaborator.
+ Active membership within the Model Protocol Review Committee
**Key Responsibilities**
+ Develop innovative HTA methods that delivers rapid access for BMS medicines - specific focus on AI capabilities that increase speed to patient and reduced operating costs.
+ Lead the BMS external strategy to evolve payer/HTA agency methodology in the assessment of the value of BMS Neuroscience and Immunology / Cardiovascular portfolio.
+ Act as scientific leader for the latest modelling methodology that optimises the assessment of BMS Neuroscience and Immunology / Cardiovascular assets
+ Horizon scan latest advances in HTA methodology from academia, payers and competitors embedding key learnings
+ Partner with global asset leads and BMS affiliates to implement the AI based model adaptations program - work effectively with BMS internal EPM contractor team
+ Ability to hands on deliver structural updates to economic models
+ Provide expert level support in development of cost-effectiveness and budget impact models in collaboration with cross-functional local, regional and global teams
+ Provide early HEOR analytics to inform pricing strategies for CE archetypes as requested
+ Provide modelling input to Value Story development and updates
+ Interpret clinical studies results and plan additional statistical analyses needed for core models and model adaptations, including indirect treatment comparisons
+ Engage in timely and effective communication to HTA and reimbursement authorities as requested / required by matrix teams
+ Lead publications of core global economic models. Thought leadership on modelling internally and externally, to help shape the HTA business environment and standards
**Degree Requirements**
+ Doctorate Degree (PhD) or Master's (MSc) in health economics or related relevant discipline and 10 plus years of health economics and outcomes research experience
**Experience & Skills Required**
+ Experience using Visual Basic, and software including R, Python, OPEN BUGS and JAGs, ideally with the ability to program, interpret and modify existing code
+ Lead projects as the subject matter expert, providing strategic direction and expertise while overseeing execution and ensuring successful outcomes.
+ Project management skills with ability to communicate effectively across all levels of the matrix
+ Successful development of model development for HTA submissions including adaptations for country needs
+ Innovative methods evidence by published research
+ Experience in leading research and presenting at conferences as well as to internal matrix stakeholders and senior leaders
+ Significant and detailed understanding of generative AI techniques and tools to automate HEOR & Access workflows, with a focus on minimising risks such as biases and inaccuracies
+ Previous experience in Neuroscience and Immunology / Cardiovascular is desirable though not mandatory
**Key Competencies**
+ Experience working across a broad matrix of internal functions (GHEOR, Global Biostats, Medical, Clinical Research, Commercial, Policy, Market Access and Pricing)
+ Essential:
+ **R and/or Python**
+ **VBA**
+ Desirable, but not mandatory:
+ **OpenBUGS** and/or **WinBUGS** and/or **JAGS**
+ Statistical skills in advanced survival analyses and relative effectiveness assessments (NMAs, MAICs, STCs, Bucher, ML-NMR).
#LI-Remote
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
**Uniquely Interesting Work, Life-changing Careers**
With a single vision as inspiring as Transforming patients' lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
**On-site Protocol**
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/ ( eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Bristol Myers Squibb is Disability Confident - Employer
A UK Government scheme
**Company:** Bristol-Myers Squibb
**Req Number:** R
**Updated:** :33:50.366 UTC
**Location:** Uxbridge-GB
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.
Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .
**Join our pioneering group of HTA modelling experts developing cutting edge AI based solutions.**
**Position Purpose**
+ Provide expert modelling, AI, and programming capabilities to GHEOR TA teams
+ Execute market level CE model adaptations using the Bristol Myers Squibb (BMS) GHEOR EPM Generative AI tool suite.
+ Execute and present methods shaping innovative research, panels, publications, education, and external talks to shape the HTA and payer environment - primary focus on AI methods for access & HEOR.
+ Highly competent matrix collaborator.
+ Active membership within the Model Protocol Review Committee
**Key Responsibilities**
+ Develop innovative HTA methods that delivers rapid access for BMS medicines - specific focus on AI capabilities that increase speed to patient and reduced operating costs.
+ Lead the BMS external strategy to evolve payer/HTA agency methodology in the assessment of the value of BMS Neuroscience and Immunology / Cardiovascular portfolio.
+ Act as scientific leader for the latest modelling methodology that optimises the assessment of BMS Neuroscience and Immunology / Cardiovascular assets
+ Horizon scan latest advances in HTA methodology from academia, payers and competitors embedding key learnings
+ Partner with global asset leads and BMS affiliates to implement the AI based model adaptations program - work effectively with BMS internal EPM contractor team
+ Ability to hands on deliver structural updates to economic models
+ Provide expert level support in development of cost-effectiveness and budget impact models in collaboration with cross-functional local, regional and global teams
+ Provide early HEOR analytics to inform pricing strategies for CE archetypes as requested
+ Provide modelling input to Value Story development and updates
+ Interpret clinical studies results and plan additional statistical analyses needed for core models and model adaptations, including indirect treatment comparisons
+ Engage in timely and effective communication to HTA and reimbursement authorities as requested / required by matrix teams
+ Lead publications of core global economic models. Thought leadership on modelling internally and externally, to help shape the HTA business environment and standards
**Degree Requirements**
+ Doctorate Degree (PhD) or Master's (MSc) in health economics or related relevant discipline and 10 plus years of health economics and outcomes research experience
**Experience & Skills Required**
+ Experience using Visual Basic, and software including R, Python, OPEN BUGS and JAGs, ideally with the ability to program, interpret and modify existing code
+ Lead projects as the subject matter expert, providing strategic direction and expertise while overseeing execution and ensuring successful outcomes.
+ Project management skills with ability to communicate effectively across all levels of the matrix
+ Successful development of model development for HTA submissions including adaptations for country needs
+ Innovative methods evidence by published research
+ Experience in leading research and presenting at conferences as well as to internal matrix stakeholders and senior leaders
+ Significant and detailed understanding of generative AI techniques and tools to automate HEOR & Access workflows, with a focus on minimising risks such as biases and inaccuracies
+ Previous experience in Neuroscience and Immunology / Cardiovascular is desirable though not mandatory
**Key Competencies**
+ Experience working across a broad matrix of internal functions (GHEOR, Global Biostats, Medical, Clinical Research, Commercial, Policy, Market Access and Pricing)
+ Essential:
+ **R and/or Python**
+ **VBA**
+ Desirable, but not mandatory:
+ **OpenBUGS** and/or **WinBUGS** and/or **JAGS**
+ Statistical skills in advanced survival analyses and relative effectiveness assessments (NMAs, MAICs, STCs, Bucher, ML-NMR).
#LI-Remote
If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.
**Uniquely Interesting Work, Life-changing Careers**
With a single vision as inspiring as Transforming patients' lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
**On-site Protocol**
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit careers.bms.com/ ( eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Bristol Myers Squibb is Disability Confident - Employer
A UK Government scheme
**Company:** Bristol-Myers Squibb
**Req Number:** R
**Updated:** :33:50.366 UTC
**Location:** Uxbridge-GB
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.
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This advertiser has chosen not to accept applicants from your region.
0
Senior AI/ML Engineer - Predictive Modeling
SO15 1AA Southampton, South East
£70000 Annually
WhatJobs Direct
Posted 3 days ago
Job Viewed
Job Description
Our client, a forward-thinking real estate technology company, is seeking a highly skilled Senior AI/ML Engineer specializing in Predictive Modeling to join their fully remote team. This role is ideal for an individual passionate about leveraging artificial intelligence to revolutionize the property market. You will be instrumental in developing and deploying sophisticated predictive models that drive insights into market trends, property valuations, customer behavior, and investment opportunities. This fully remote position allows you to contribute your expertise from anywhere within the UK, collaborating with a talented team of data scientists, engineers, and real estate professionals.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, build, and deploy machine learning models for predictive analytics within the real estate domain.
- Develop algorithms for forecasting property prices, rental yields, market demand, and investment risks.
- Collaborate with data engineers to ensure efficient data pipelines and infrastructure for model training and deployment.
- Clean, preprocess, and analyze large, complex datasets from various sources.
- Evaluate model performance, identify areas for improvement, and implement optimization strategies.
- Stay abreast of the latest advancements in AI, machine learning, and predictive modeling techniques.
- Communicate complex findings and model insights clearly to both technical and non-technical stakeholders.
- Contribute to the overall AI/ML strategy and roadmap of the company.
- Develop and maintain robust documentation for models, algorithms, and data processes.
- Mentor junior data scientists and engineers, fostering a collaborative learning environment.
- Ensure the ethical and responsible application of AI in all predictive modeling efforts.
Qualifications:
- Master's or PhD in Computer Science, Statistics, Data Science, Mathematics, or a related quantitative field.
- Minimum of 5 years of professional experience in AI/ML engineering, with a strong focus on predictive modeling.
- Proven track record of successfully developing and deploying predictive models in a production environment.
- Expertise in Python and relevant ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Keras).
- Strong understanding of statistical modeling, time-series analysis, and machine learning algorithms.
- Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent data wrangling, feature engineering, and data visualization skills.
- Strong problem-solving abilities and a passion for tackling complex challenges.
- Exceptional communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience within the real estate industry or with geospatial data is a significant advantage.
This is a unique opportunity to shape the future of real estate technology through cutting-edge AI from your home.
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1
Lead AI Engineer - Machine Learning & Data Science
AB10 1BS Aberdeen, Scotland
£75000 annum based
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology firm at the forefront of AI innovation, is seeking a highly experienced and visionary Lead AI Engineer to spearhead their machine learning initiatives. Based in Aberdeen , this role is instrumental in designing, developing, and deploying advanced AI models and solutions that drive business value and technological advancement. You will lead a team of talented data scientists and engineers, guiding them through the entire lifecycle of AI projects, from conceptualization and data acquisition to model training, validation, and deployment. A deep expertise in machine learning algorithms, deep learning frameworks, and statistical modeling is essential, along with a strong programming background in languages such as Python. You will be responsible for identifying opportunities to leverage AI across various business functions, defining project roadmaps, and ensuring the technical excellence of the solutions developed. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. We are looking for a strategic thinker with exceptional leadership qualities, a passion for innovation, and a proven ability to translate complex technical concepts into tangible business outcomes. The ability to mentor and inspire a team, foster a collaborative research environment, and stay abreast of the latest advancements in AI and machine learning is critical. This is a unique opportunity to shape the future of AI within a forward-thinking organization and make a significant impact on industry-leading projects. The successful candidate will champion best practices in MLOps, model interpretability, and ethical AI development. Strong communication skills will be vital for presenting findings and strategies to both technical and non-technical stakeholders.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of AI and machine learning models.
- Oversee the end-to-end lifecycle of AI projects.
- Mentor and manage a team of AI engineers and data scientists.
- Identify and evaluate new AI technologies and methodologies.
- Develop scalable and robust AI solutions.
- Collaborate with cross-functional teams to integrate AI into business processes.
- Ensure the ethical and responsible development of AI systems.
- Present technical findings and strategic recommendations to stakeholders.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Extensive experience (5+ years) in AI/ML development and deployment.
- Proficiency in Python and relevant ML libraries (TensorFlow, PyTorch, scikit-learn).
- Strong understanding of deep learning, statistical modeling, and data science principles.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies.
- Proven leadership and team management skills.
- Excellent problem-solving and analytical abilities.
- Strong communication and presentation skills.
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2
Data Science Graduate Programme - Machine Learning Focus
S1 1AA Sheffield, Yorkshire and the Humber
£30000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is a rapidly growing technology firm seeking ambitious and bright graduates to join their esteemed Data Science Graduate Programme. This fully remote, 18-month programme offers a structured path to becoming a proficient Data Scientist, with a particular emphasis on Machine Learning. You will have the opportunity to work on challenging projects, contribute to real-world business problems, and gain invaluable experience in a supportive and innovative environment. This is an exceptional chance to launch your career in data science from the comfort of your own home.
Programme Highlights:
Qualifications:
Programme Highlights:
- Gain comprehensive training in data analysis, statistical modeling, machine learning algorithms, and data visualization.
- Work on diverse projects across various business units, applying your skills to solve critical challenges.
- Develop and implement predictive models, classification systems, and other machine learning solutions.
- Learn to clean, transform, and prepare large datasets for analysis.
- Collaborate with senior data scientists and engineers, receiving mentorship and guidance.
- Utilize cutting-edge tools and technologies in the data science landscape.
- Contribute to the development of data-driven strategies and insights.
- Participate in workshops, seminars, and networking events to foster professional growth.
- Build a strong foundation for a successful career in the field of data science and AI.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in a quantitative discipline (Computer Science, Mathematics, Statistics, Physics, Engineering, etc.).
- Strong understanding of statistical concepts and machine learning principles.
- Proficiency in Python or R programming languages.
- Experience with data manipulation libraries (e.g., Pandas, NumPy) and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Excellent analytical and problem-solving abilities.
- Strong written and verbal communication skills.
- Ability to work autonomously and manage time effectively in a remote environment.
- Enthusiasm for data science and continuous learning.
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3
Junior AI & Machine Learning Engineer - Data Science Focus
L1 8JQ Liverpool, North West
£25000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Are you a bright and enthusiastic recent graduate or penultimate-year student eager to kick-start your career in Artificial Intelligence and Machine Learning? Our client, a leading innovator in data-driven solutions, is offering an exceptional fully remote internship opportunity based out of Liverpool, Merseyside, UK . This internship is designed to provide hands-on experience in a dynamic, fast-paced environment, allowing you to contribute to real-world projects and learn from experienced professionals.
As a Junior AI & Machine Learning Engineer intern, you will immerse yourself in the exciting world of AI, assisting our data science and engineering teams in developing, training, and deploying machine learning models. This is a fantastic chance to apply your academic knowledge to practical challenges, gain exposure to cutting-edge technologies, and build a strong foundation for your future career.
Key Responsibilities:
Qualifications:
As a Junior AI & Machine Learning Engineer intern, you will immerse yourself in the exciting world of AI, assisting our data science and engineering teams in developing, training, and deploying machine learning models. This is a fantastic chance to apply your academic knowledge to practical challenges, gain exposure to cutting-edge technologies, and build a strong foundation for your future career.
Key Responsibilities:
- Assist in the collection, cleaning, and pre-processing of large datasets for machine learning model training.
- Support the development and implementation of machine learning algorithms and models under the guidance of senior engineers.
- Conduct exploratory data analysis to identify patterns, trends, and insights.
- Help in the evaluation and testing of model performance using various metrics.
- Contribute to the documentation of code, models, and experimental results.
- Collaborate with team members on assigned tasks and projects in a fully remote setting.
- Learn and apply best practices in software development and data science.
- Participate in team meetings and contribute ideas for potential AI solutions.
- Gain exposure to cloud platforms and MLOps principles.
- Assist in troubleshooting and debugging machine learning pipelines.
Qualifications:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Foundational understanding of machine learning concepts and algorithms.
- Proficiency in Python and experience with relevant libraries (e.g., NumPy, Pandas, Scikit-learn).
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities, crucial for a fully remote role.
- Eagerness to learn and a proactive attitude towards challenges.
- Ability to work independently and manage time effectively in a remote environment.
- A genuine passion for AI and its potential applications.
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This advertiser has chosen not to accept applicants from your region.
4
Data Science Engineer
London, London
£80000 - £85000 Annually
DGH Recruitment Ltd
Posted 5 days ago
Job Viewed
Job Description
Data Science Engineer
My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy.
Key Responsibilities
* End-to-end development of AI/ML solutions.
* MLOps practices: CI/CD, model monitoring, retraining.
* Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).
* Generative AI features: embeddings, RAG, AI agents.
* Clean, testable code with modern engineering practices.
* Align with enterprise architecture and governance.
* Collaborate with architects and stakeholders.
* Lifecycle management of models.
* Pilot emerging technologies.
Experience & Skills
* 2-4 years in production-level AI/ML delivery.
* Legal/professional services experience is a plus.
* AI/ML frameworks: PyTorch, TensorFlow, LangChain.
* Cloud: Azure (preferred), AWS, GCP.
* MLOps: CI/CD, model lifecycle, monitoring.
* Generative AI: LLMs, RAG, chat agents.
* Data engineering alignment: ETL, governance.
* Strong coding, communication, and collaboration skills.
* Strategic thinking, problem-solving, and stakeholder engagement.
In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.
DGH Recruitment Limited acts as both an Employment Agency and Employment Business
My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy.
Key Responsibilities
* End-to-end development of AI/ML solutions.
* MLOps practices: CI/CD, model monitoring, retraining.
* Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).
* Generative AI features: embeddings, RAG, AI agents.
* Clean, testable code with modern engineering practices.
* Align with enterprise architecture and governance.
* Collaborate with architects and stakeholders.
* Lifecycle management of models.
* Pilot emerging technologies.
Experience & Skills
* 2-4 years in production-level AI/ML delivery.
* Legal/professional services experience is a plus.
* AI/ML frameworks: PyTorch, TensorFlow, LangChain.
* Cloud: Azure (preferred), AWS, GCP.
* MLOps: CI/CD, model lifecycle, monitoring.
* Generative AI: LLMs, RAG, chat agents.
* Data engineering alignment: ETL, governance.
* Strong coding, communication, and collaboration skills.
* Strategic thinking, problem-solving, and stakeholder engagement.
In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.
DGH Recruitment Limited acts as both an Employment Agency and Employment Business
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This advertiser has chosen not to accept applicants from your region.
5
Data Science Lead
London, London
£65000 - £77000 Annually
Michael Page
Posted 5 days ago
Job Viewed
Job Description
The Head of Data Science will lead the Data Science department, driving data-driven decision-making and delivering impactful insights within the public sector. This role in Birmingham requires expertise in data science methodologies and a strong ability to manage and develop analytics teams. Hybrid working is also available in Cardiff or London
Client Details
The organisation is a well-established public sector entity with a significant focus on leveraging data to improve services and inform strategic decisions. As an organisation, they are committed to fostering innovation and maintaining high operational standards
Description
- Support the Director of Risk, Data Analysis and Insight to develop the analysis programme in line with the overall Strategic Plan
- Lead and manage the Data Science department, ensuring the delivery of high-quality data insights.
- Develop and implement data science strategies to support organisational objectives.
- Collaborate with cross-functional teams to identify and solve complex data challenges.
- Oversee the design, development, and deployment of predictive models and algorithms.
- Ensure compliance with data governance and ethical guidelines in all analytics activities.
- Provide mentorship and professional development opportunities for team members.
- Communicate findings and actionable insights to senior leadership and key stakeholders.
- Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data
- Develop appropriate analytical methods in firm-based risk assessment and thematic risks
- Provide internal consultancy across Directorates and Programmes on analytical methods and techniques
- Stay informed about industry trends and emerging technologies in the public sector.
Profile
A successful Head of Data Science should have:
- Proven experience in data science and analytics, ideally within the public sector or regulatory body.
- A strong background in statistical modelling, machine learning, and data visualisation tools
- Expert use of standard statistical tools e.g. R/Python and relevant associated libraries
- Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs
- Excellent leadership and team management skills.
- A solid understanding of data governance and ethical considerations.
- Outstanding communication skills to present complex data in an accessible manner.
- A degree or equivalent qualification in data science, mathematics, or a related field.
- Demonstrated ability to collaborate across departments and with senior stakeholders.
Job Offer
- Competitive salary range of 65,000 to 77,000 (London) per annum.
- 25 days of annual leave, increasing to 27 after 2 years of service.
- Generous pension contributions (up to 19.25%).
- Income protection, life assurance and Private Medical benefits.
- 3% of annual salary available for additional benefits, including dental insurance and travel insurance.
- Opportunities to work on meaningful projects within the public sector in Birmingham.
Take the next step in your career as a Head of Data Science and apply today to make a real impact in the public sector!
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6
Data Science Lead
EC1 London, London
Michael Page
Posted 10 days ago
Job Viewed
Job Description
The Head of Data Science will lead the Data Science department, driving data-driven decision-making and delivering impactful insights within the public sector. This role in Birmingham requires expertise in data science methodologies and a strong ability to manage and develop analytics teams. Hybrid working is also available in Cardiff or London
Client Details
The organisation is a well-established public sector entity with a significant focus on leveraging data to improve services and inform strategic decisions. As an organisation, they are committed to fostering innovation and maintaining high operational standards
Description
- Support the Director of Risk, Data Analysis and Insight to develop the analysis programme in line with the overall Strategic Plan
- Lead and manage the Data Science department, ensuring the delivery of high-quality data insights.
- Develop and implement data science strategies to support organisational objectives.
- Collaborate with cross-functional teams to identify and solve complex data challenges.
- Oversee the design, development, and deployment of predictive models and algorithms.
- Ensure compliance with data governance and ethical guidelines in all analytics activities.
- Provide mentorship and professional development opportunities for team members.
- Communicate findings and actionable insights to senior leadership and key stakeholders.
- Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data
- Develop appropriate analytical methods in firm-based risk assessment and thematic risks
- Provide internal consultancy across Directorates and Programmes on analytical methods and techniques
- Stay informed about industry trends and emerging technologies in the public sector.
Profile
A successful Head of Data Science should have:
- Proven experience in data science and analytics, ideally within the public sector or regulatory body.
- A strong background in statistical modelling, machine learning, and data visualisation tools
- Expert use of standard statistical tools e.g. R/Python and relevant associated libraries
- Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs
- Excellent leadership and team management skills.
- A solid understanding of data governance and ethical considerations.
- Outstanding communication skills to present complex data in an accessible manner.
- A degree or equivalent qualification in data science, mathematics, or a related field.
- Demonstrated ability to collaborate across departments and with senior stakeholders.
Job Offer
- Competitive salary range of 65,000 to 77,000 (London) per annum.
- 25 days of annual leave, increasing to 27 after 2 years of service.
- Generous pension contributions (up to 19.25%).
- Income protection, life assurance and Private Medical benefits.
- 3% of annual salary available for additional benefits, including dental insurance and travel insurance.
- Opportunities to work on meaningful projects within the public sector in Birmingham.
Take the next step in your career as a Head of Data Science and apply today to make a real impact in the public sector!
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Data Science Engineer
DGH Recruitment Ltd
Posted 6 days ago
Job Viewed
Job Description
Data Science Engineer
My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy.
Key Responsibilities
* End-to-end development of AI/ML solutions.
* MLOps practices: CI/CD, model monitoring, retraining.
* Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).
* Generative AI features: embeddings, RAG, AI agents.
* Clean, testable code with modern engineering practices.
* Align with enterprise architecture and governance.
* Collaborate with architects and stakeholders.
* Lifecycle management of models.
* Pilot emerging technologies.
Experience & Skills
* 2-4 years in production-level AI/ML delivery.
* Legal/professional services experience is a plus.
* AI/ML frameworks: PyTorch, TensorFlow, LangChain.
* Cloud: Azure (preferred), AWS, GCP.
* MLOps: CI/CD, model lifecycle, monitoring.
* Generative AI: LLMs, RAG, chat agents.
* Data engineering alignment: ETL, governance.
* Strong coding, communication, and collaboration skills.
* Strategic thinking, problem-solving, and stakeholder engagement.
In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.
DGH Recruitment Limited acts as both an Employment Agency and Employment Business
My client is recruiting for a Data Science Engineer to design, develop, and deliver AI and analytics solutions aligned with the organisations Data & AI strategy.
Key Responsibilities
* End-to-end development of AI/ML solutions.
* MLOps practices: CI/CD, model monitoring, retraining.
* Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks).
* Generative AI features: embeddings, RAG, AI agents.
* Clean, testable code with modern engineering practices.
* Align with enterprise architecture and governance.
* Collaborate with architects and stakeholders.
* Lifecycle management of models.
* Pilot emerging technologies.
Experience & Skills
* 2-4 years in production-level AI/ML delivery.
* Legal/professional services experience is a plus.
* AI/ML frameworks: PyTorch, TensorFlow, LangChain.
* Cloud: Azure (preferred), AWS, GCP.
* MLOps: CI/CD, model lifecycle, monitoring.
* Generative AI: LLMs, RAG, chat agents.
* Data engineering alignment: ETL, governance.
* Strong coding, communication, and collaboration skills.
* Strategic thinking, problem-solving, and stakeholder engagement.
In accordance with the Employment Agencies and Employment Businesses Regulations 2003, this position is advertised based upon DGH Recruitment Limited having first sought approval of its client to find candidates for this position.
DGH Recruitment Limited acts as both an Employment Agency and Employment Business
Is this job a match or a miss?
This advertiser has chosen not to accept applicants from your region.
8
Data Science Manager
Marks and Spencer
Posted today
Job Viewed
Job Description
The Data Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our Loyalty transformation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, the Data Science Manager is key to the success of a major part of M&S's future.,
Summary
The Data Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our Loyalty transformation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, the Data Science Manager is key to the success of a major part of M&S's future.
All the details
What's In It For You
Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special…
- After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
- Competitive holiday entitlement with the potential to buy extra holiday days
- Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
- A generous Defined Contribution Pension Scheme and Life Assurance.
- A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
- Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
- Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
- Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
- A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.
Who You Are
- A collaborative and supportive leader who inspires and develops Data Scientists, creating a culture of openness, learning and excellence in delivery.
- Technically skilled in a wide range of ML/AI methods, with experience turning advanced models into real-world solutions that customers feel and business teams value.
- You have a pragmatic and commercial attitude, ready and willing to consider the full range of technical options available from simple to complex, depending on what's most appropriate and what will deliver value most effectively
- Curious and innovative, keeping pace with new ML/AI advancements and applying them to unlock new ways of serving customers.
- An excellent communicator and business partner who can make complex concepts simple, building trust and influence with both technical and commercial partners.
What You Will Do
- Lead, manage and grow a high-performing Data Science team shaping the future of our customer Loyalty programme through seamless personalisation and optimisation
- Deliver scalable ML/AI solutions end-to-end that step-change how we understand, reward and engage with customers through our Loyalty programme.
- Partner with product, engineering and commercial teams to embed solutions seamlessly into the customer experience and business processes.
- Set the standard for agile Data Science delivery, testing and model monitoring, ensuring solutions are robust, reliable and impactful.
- Drive innovation and act as a trusted advisor, helping transform how Data Science develops value for our customers and our business.
Everyone's welcome
We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
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