371 Advanced Analytics jobs in the United Kingdom

**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Why Join IBM?
At IBM, you'll be part of a global team that's redefining what's possible with AI and data. You'll have access to cutting-edge tools, a collaborative culture, and opportunities to shape the future of technology and business.
**Your role and responsibilities**
As a Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM's data science capability. You'll also be a key contributor leading business development through proposal writing, solutioning, and client presentations.
Key Responsibilities
* Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.
* Act as a trusted advisor to senior client stakeholders, translating business challenges into data-driven solutions and articulating the value of AI.
* Translate complex data into actionable insights and strategic recommendations.
* Collaborate with cross-functional teams including consultants, engineers, and client stakeholders, fostering a culture of innovation, collaboration, and continuous learning.
* Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs.
* Lead business development through proposal writing, solutioning, and client presentations.
* Contribute to IBM's thought leadership by publishing white papers, speaking at conferences, and developing reusable assets and accelerators.
* Mentor and coach junior data scientists and analysts.
* Stay current with emerging technologies and methodologies in AI/ML and data science.
**Required technical and professional expertise**
* Proven experience (8+ years) in delivering AI solutions, advanced analytics and automation solutions in a consulting or enterprise environment.
* Excellent communication and stakeholder management skills.
* Experience leading cross-functional teams and mentoring talent.
* Strong understanding of machine learning, deep learning, NLP, and statistical modelling.
* Experience with cloud platforms (IBM Cloud, AWS, Azure, or GCP).
* Experience working with clients in sectors such as financial services, healthcare, or public sector is desirable.
**Preferred technical and professional experience**
* PhD or equivalent experience is a plus. (preferable in Data Science, Computer Science, Statistics, or a related field)
* Certifications in cloud platforms or data science tools (e.g., IBM Data Science Professional Certificate) are advantageous.
* Experience with data engineering tools and MLOps practices is a plus
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.

**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Why Join IBM?
At IBM, you'll be part of a global team that's redefining what's possible with AI and data. You'll have access to cutting-edge tools, a collaborative culture, and opportunities to shape the future of technology and business.
**Your role and responsibilities**
As a Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM's data science capability.
Key Responsibilities
* Lead end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.
* Translate complex data into actionable insights and strategic recommendations.
* Collaborate with cross-functional teams including consultants, engineers, and client stakeholders.
* Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs.
* Contribute to business development through proposal writing, solutioning, and client presentations.
* Mentor and coach junior data scientists and analysts.
* Stay current with emerging technologies and methodologies in AI/ML and data science.
**Required technical and professional expertise**
* Proven experience in delivering AI solutions, advanced analytics and automation solutions in a consulting or enterprise environment.
* Excellent communication and stakeholder management skills.
* Strong understanding of machine learning, deep learning, NLP, and statistical modelling.
* Proficiency in Python, R, SQL, and cloud platforms (Azure, AWS, or IBM Cloud).
* Experience working with clients in sectors such as financial services, healthcare, or public sector is desirable.
**Preferred technical and professional experience**
* PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field.)
* Certifications in cloud platforms or data science tools (e.g., IBM Data Science Professional Certificate) are advantageous.
* Experience with data engineering tools and MLOps practices is a plus.
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.

**Introduction**
At IBM CIC, we deliver deep 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 visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom 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.
We offer:
* Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
* Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
* Feedback and checkpoints throughout the year
* Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
* A culture where your ideas for growth and innovation are always welcome
* Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
* Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
* More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions. In this role, you'll be responsible for leading the way in driving innovation, fostering a culture of continuous improvement, and nurturing the growth of junior engineers.
Join our Data Engineering team and make a significant impact on our clients' advanced analytics initiatives. Apply today and embark on an exciting journey in Data Engineering!
Responsibilities:
* Develop and lead cutting-edge advanced analytics solutions for complex business problems.
* Mentor junior data engineers, providing guidance and support in their professional development.
* Perform statistical analysis, data collection, data mining, and text mining.
* Design, build, and manage solutions for advanced analytics projects.
* Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
* Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization
**Required technical and professional expertise**
* Extensive experience with data engineering principles and advanced analytics techniques.
* Proficiency in programming languages (Python, R, SQL).
* Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
* Strong leadership and communication skills.
* Ability to lead cross-functional teams and manage stakeholder expectations
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 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
* Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
* Familiarity with big data technologies (Hadoop, Spark).
* Background in data science, IT consulting, or a related field.
* AWS Certified Big Data or equivalent.
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.

**Introduction**
At IBM CIC, we deliver deep 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 visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom 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.
We offer:
* Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
* Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
* Feedback and checkpoints throughout the year
* Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
* A culture where your ideas for growth and innovation are always welcome
* Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
* Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
* More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions. In this role, you'll be responsible for leading the way in driving innovation, fostering a culture of continuous improvement, and nurturing the growth of junior engineers.
Join our Data Engineering team and make a significant impact on our clients' advanced analytics initiatives. Apply today and embark on an exciting journey in Data Engineering!
Responsibilities:
* Develop and lead cutting-edge advanced analytics solutions for complex business problems.
* Mentor junior data engineers, providing guidance and support in their professional development.
* Perform statistical analysis, data collection, data mining, and text mining.
* Design, build, and manage solutions for advanced analytics projects.
* Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
* Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization
**Required technical and professional expertise**
* Extensive experience with data engineering principles and advanced analytics techniques.
* Proficiency in programming languages (Python, R, SQL).
* Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
* Strong leadership and communication skills.
* Ability to lead cross-functional teams and manage stakeholder expectations
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 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
* Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
* Familiarity with big data technologies (Hadoop, Spark).
* Background in data science, IT consulting, or a related field.
* AWS Certified Big Data or equivalent.
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.

**Introduction**
At IBM CIC, we deliver deep 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 visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom 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.
We offer:
* Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
* Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
* Feedback and checkpoints throughout the year
* Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
* A culture where your ideas for growth and innovation are always welcome
* Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
* Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
* More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions. In this role, you'll be responsible for leading the way in driving innovation, fostering a culture of continuous improvement, and nurturing the growth of junior engineers.
Join our Data Engineering team and make a significant impact on our clients' advanced analytics initiatives. Apply today and embark on an exciting journey in Data Engineering!
Responsibilities:
* Develop and lead cutting-edge advanced analytics solutions for complex business problems.
* Mentor junior data engineers, providing guidance and support in their professional development.
* Perform statistical analysis, data collection, data mining, and text mining.
* Design, build, and manage solutions for advanced analytics projects.
* Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
* Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization
**Required technical and professional expertise**
* Extensive experience with data engineering principles and advanced analytics techniques.
* Proficiency in programming languages (Python, R, SQL).
* Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
* Strong leadership and communication skills.
* Ability to lead cross-functional teams and manage stakeholder expectations
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 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
* Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
* Familiarity with big data technologies (Hadoop, Spark).
* Background in data science, IT consulting, or a related field.
* AWS Certified Big Data or equivalent.
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.

**Introduction**
At IBM CIC, we deliver deep 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 visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio.
Curiosity and a constant quest for knowledge serve as the foundation to success here. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions which impact a wide network of clients, whom 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.
We offer:
* Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
* Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
* Feedback and checkpoints throughout the year
* Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
* A culture where your ideas for growth and innovation are always welcome
* Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
* Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
* More traditional benefits, such as 25 days holiday (in addition to public holidays), online shopping discounts, an Employee Assistance Program, a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.
**Your role and responsibilities**
Unleash your leadership potential as a Managing Data Engineer with Advanced Analytics expertise and drive the development of innovative advanced analytics solutions. In this role, you'll be responsible for leading the way in driving innovation, fostering a culture of continuous improvement, and nurturing the growth of junior engineers.
Join our Data Engineering team and make a significant impact on our clients' advanced analytics initiatives. Apply today and embark on an exciting journey in Data Engineering!
Responsibilities:
* Develop and lead cutting-edge advanced analytics solutions for complex business problems.
* Mentor junior data engineers, providing guidance and support in their professional development.
* Perform statistical analysis, data collection, data mining, and text mining.
* Design, build, and manage solutions for advanced analytics projects.
* Utilize predictive analytics tools (SPSS) to draw conclusions and present findings.
* Stay abreast of emerging advanced analytics trends and technologies, driving innovation within the organization
**Required technical and professional expertise**
* Extensive experience with data engineering principles and advanced analytics techniques.
* Proficiency in programming languages (Python, R, SQL).
* Experience with data manipulation and analysis tools (Pandas, NumPy, Dask).
* Strong leadership and communication skills.
* Ability to lead cross-functional teams and manage stakeholder expectations
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 10 years. You must be able to hold or gain a UK government security clearance.
**Preferred technical and professional experience**
* Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
* Familiarity with big data technologies (Hadoop, Spark).
* Background in data science, IT consulting, or a related field.
* AWS Certified Big Data or equivalent.
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.

**Introduction**
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
Why Join IBM?
At IBM, you'll be part of a global team that's redefining what's possible with AI and data. You'll have access to cutting-edge tools, a collaborative culture, and opportunities to shape the future of technology and business.
**Your role and responsibilities**
As a Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM's data science capability.
Key Responsibilities
* Lead end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.
* Translate complex data into actionable insights and strategic recommendations.
* Collaborate with cross-functional teams including consultants, engineers, and client stakeholders.
* Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs.
* Contribute to business development through proposal writing, solutioning, and client presentations.
* Mentor and coach junior data scientists and analysts.
* Stay current with emerging technologies and methodologies in AI/ML and data science.
**Required technical and professional expertise**
* Proven experience in delivering AI solutions, advanced analytics and automation solutions in a consulting or enterprise environment.
* Excellent communication and stakeholder management skills.
* Strong understanding of machine learning, deep learning, NLP, and statistical modelling.
* Proficiency in Python, R, SQL, and cloud platforms (Azure, AWS, or IBM Cloud).
* Experience working with clients in sectors such as financial services, healthcare, or public sector is desirable.
**Preferred technical and professional experience**
* PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field.)
* Certifications in cloud platforms or data science tools (e.g., IBM Data Science Professional Certificate) are advantageous.
* Experience with data engineering tools and MLOps practices is a plus.
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.

**Introduction**
Why Join IBM?
At IBM, you'll be part of a global team that's redefining what's possible with AI and data. You'll have access to cutting-edge tools, a collaborative culture, and opportunities to shape the future of technology and business.
**Your role and responsibilities**
As a Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM's data science capability. You'll also be a key contributor leading business development through proposal writing, solutioning, and client presentations.
Key Responsibilities
* Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.
* Act as a trusted advisor to senior client stakeholders, translating business challenges into data-driven solutions and articulating the value of AI.
* Translate complex data into actionable insights and strategic recommendations.
* Collaborate with cross-functional teams including consultants, engineers, and client stakeholders, fostering a culture of innovation, collaboration, and continuous learning.
* Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs.
* Lead business development through proposal writing, solutioning, and client presentations.
* Contribute to IBM's thought leadership by publishing white papers, speaking at conferences, and developing reusable assets and accelerators.
* Mentor and coach junior data scientists and analysts.
* Stay current with emerging technologies and methodologies in AI/ML and data science.
**Required technical and professional expertise**
* Proven experience (8+ years) in delivering AI solutions, advanced analytics and automation solutions in a consulting or enterprise environment.
* Excellent communication and stakeholder management skills.
* Experience leading cross-functional teams and mentoring talent.
* Strong understanding of machine learning, deep learning, NLP, and statistical modelling.
* Experience with cloud platforms (IBM Cloud, AWS, Azure, or GCP).
* Experience working with clients in sectors such as financial services, healthcare, or public sector is desirable.
**Preferred technical and professional experience**
* PhD or equivalent experience is a plus. (preferable in Data Science, Computer Science, Statistics, or a related field)
* Certifications in cloud platforms or data science tools (e.g., IBM Data Science Professional Certificate) are advantageous.
* Experience with data engineering tools and MLOps practices is a plus
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.

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Advanced Analytics - Data Scientist

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Advanced Analytics - Data Scientist

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IBMnGet AI-powered advice on this job and more exclusive features.nIntroduction

Why Join IBM?

At IBM, you’ll be part of a global team that’s redefining what’s possible with AI and data. You’ll have access to cutting-edge tools, a collaborative culture, and opportunities to shape the future of technology and business.

Your Role And Responsibilities

As a Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM’s data science capability. You’ll also be a key contributor leading business development through proposal writing, solutioning, and client presentations.

Key Responsibilities

Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.nAct as a trusted advisor to senior client stakeholders, translating business challenges into data-driven solutions and articulating the value of AI.nTranslate complex data into actionable insights and strategic recommendations.nCollaborate with cross-functional teams including consultants, engineers, and client stakeholders, fostering a culture of innovation, collaboration, and continuous learning.nDesign and implement machine learning models, statistical analyses, and AI solutions tailored to client needs.nLead business development through proposal writing, solutioning, and client presentations.nContribute to IBM’s thought leadership by publishing white papers, speaking at conferences, and developing reusable assets and accelerators.nMentor and coach junior data scientists and analysts.nStay current with emerging technologies and methodologies in AI/ML and data science.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

Proven experience (8+ years) in delivering AI solutions, advanced analytics and automation solutions in a consulting or enterprise environment.nExcellent communication and stakeholder management skills.nExperience leading cross-functional teams and mentoring talent.nStrong understanding of machine learning, deep learning, NLP, and statistical modelling.nExperience with cloud platforms (IBM Cloud, AWS, Azure, or GCP).nExperience working with clients in sectors such as financial services, healthcare, or public sector is desirable.

Preferred Technical And Professional Experience

PhD or equivalent experience is a plus. (preferable in Data Science, Computer Science, Statistics, or a related field)nCertifications in cloud platforms or data science tools (e.g., IBM Data Science Professional Certificate) are advantageous.nExperience with data engineering tools and MLOps practices is a plus

Seniority level

Seniority level Mid-Senior levelnEmployment type

Employment type Full-timenJob function

Job function Engineering and Information TechnologynIndustries IT Services and IT ConsultingnReferrals increase your chances of interviewing at IBM by 2xnGet notified about new Data Scientist jobs in

London, England, United Kingdom .nLondon, England, United Kingdom 19 hours agonLondon, England, United Kingdom 6 days agonLondon, England, United Kingdom 1 week agonLondon, England, United Kingdom 2 weeks agonLondon, England, United Kingdom 2 weeks agonLondon, England, United Kingdom 2 days agonLondon, England, United Kingdom 1 week agonLondon, England, United Kingdom 3 weeks agonLondon, England, United Kingdom 5 days agonLondon, England, United Kingdom 2 weeks agonLondon, England, United Kingdom 2 days agonLondon, England, United Kingdom 2 days agonLondon, England, United Kingdom 5 days agonData Scientist, Internship, United Kingdom - BCG X

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