Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R) Updated: Today Location: London, LND, United Kingdom Job ID:-OTHLOC-3526-2DR Description Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R). The role involves developing programs and providing statistical programming support for statisticians, building analysis datasets, tables, and figures, and managing data from real world sources. The position requires collaboration with the Clinical Solutions team to apply expertise in drug development and real world data analytics. Job Responsibilities Senior Data Analyst Programming Skills: Highly proficient in SAS or R. Database Experience: Extensive familiarity with commercial claims and EHR databases, such as Optum, MarketScan, IQVIA PharMetrics, or HealthVerity. Cohort Studies: Ability to conduct longitudinal cohort studies, including creating study cohorts, baseline and outcome variables from scratch. Epidemiological Methods: Solid understanding of epidemiologic study designs and methodologies. Statistical Expertise: Hands on experience with basic statistical tests, regression models, and survival analysis. Educational Background: Advanced degree in Biostatistics or Epidemiology. Preferred: Prior experience in the pharmaceutical industry, but not necessarily. Assess quality of the data Protocol and SAP review and input Conduct analyses (programming of TFLs) Nice to have: Standard Data & Data Standards Observational Medical Outcomes (OMOP) Common Data Model (CDM) Open community of data standards Standards, structure and content of observational data Enables efficient analyses Data Standardization - OHDSI OHDSI (Observational Health Data Studies & Informatics) Tools OHDSI - Observational Health Data Sciences and Informatics DARWIN: DARWIN EU Initiative Presentation - OHDSI Qualifications Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience. Extensive programming experience in SAS or other required software, preferably in a clinical trial environment. Excellent written and verbal communication skills. Ability to read, write, speak and understand English. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality of life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $80,600.00 - $175,700.00 Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for statisticians or for client or business use to address needs for sourcing, organizing (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity. Individual contributors with responsibility in a professional or technical discipline or specialty, but may manage two or fewer employees. May direct the work of lower level professionals or manage processes and programs. The majority of time is spent contributing to the design, implementation or delivery of processes, programs, and policies, using knowledge and skills typically acquired through advanced education. Individual contributor with developing subject matter expertise and responsibility for processes. In-depth knowledge and skills within a professional discipline, understanding the impact of work on related areas. May be responsible for entire projects or processes within area of responsibility.
21/07/2026
Full time
Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R) Updated: Today Location: London, LND, United Kingdom Job ID:-OTHLOC-3526-2DR Description Sr Programmer-Sr Data Scientist/Analys Real-World Data (SAS/R). The role involves developing programs and providing statistical programming support for statisticians, building analysis datasets, tables, and figures, and managing data from real world sources. The position requires collaboration with the Clinical Solutions team to apply expertise in drug development and real world data analytics. Job Responsibilities Senior Data Analyst Programming Skills: Highly proficient in SAS or R. Database Experience: Extensive familiarity with commercial claims and EHR databases, such as Optum, MarketScan, IQVIA PharMetrics, or HealthVerity. Cohort Studies: Ability to conduct longitudinal cohort studies, including creating study cohorts, baseline and outcome variables from scratch. Epidemiological Methods: Solid understanding of epidemiologic study designs and methodologies. Statistical Expertise: Hands on experience with basic statistical tests, regression models, and survival analysis. Educational Background: Advanced degree in Biostatistics or Epidemiology. Preferred: Prior experience in the pharmaceutical industry, but not necessarily. Assess quality of the data Protocol and SAP review and input Conduct analyses (programming of TFLs) Nice to have: Standard Data & Data Standards Observational Medical Outcomes (OMOP) Common Data Model (CDM) Open community of data standards Standards, structure and content of observational data Enables efficient analyses Data Standardization - OHDSI OHDSI (Observational Health Data Studies & Informatics) Tools OHDSI - Observational Health Data Sciences and Informatics DARWIN: DARWIN EU Initiative Presentation - OHDSI Qualifications Undergraduate degree, preferably in a scientific or statistical discipline; in lieu of degree, an equivalent combination of education and demonstrated programming experience. Extensive programming experience in SAS or other required software, preferably in a clinical trial environment. Excellent written and verbal communication skills. Ability to read, write, speak and understand English. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality of life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $80,600.00 - $175,700.00 Additional Information: Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for statisticians or for client or business use to address needs for sourcing, organizing (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity. Individual contributors with responsibility in a professional or technical discipline or specialty, but may manage two or fewer employees. May direct the work of lower level professionals or manage processes and programs. The majority of time is spent contributing to the design, implementation or delivery of processes, programs, and policies, using knowledge and skills typically acquired through advanced education. Individual contributor with developing subject matter expertise and responsibility for processes. In-depth knowledge and skills within a professional discipline, understanding the impact of work on related areas. May be responsible for entire projects or processes within area of responsibility.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Landmark, a Halliburton company, builds software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. We are looking to recruit an experienced Geoscientist with a data science background to work within our Subsurface teams based in our Abingdon office, Oxfordshire. Essential Skills An honours degree (2:1+) and a postgraduate degree in Geology (at least MSc level) Ability to deliver high quality geoscience interpretations to time and standard Experience of wireline and seismic interpretation Data analytical skills and knowledge of databases Experience with coding and analytical languages such as Python, SQL, PostgreSQL etc. A professional attitude and a willingness to learn Comfortable working within a team and contributing to the geoscience and technological discussions within the company Desirable Skills PhD in Geology or Data Science At least 7 years' experience in the energy industry Experience with GIS technologies such as QGIS, ArcGIS Strong communication skills Experience with FME Desktop or FME Server/Cloud Experience with sequence stratigraphy Responsibilities Automation and expediting of workflows Assisting the interpretation of well, outcrop and seismic data Making interpretative geoscience contributions towards the digital twin Generation of regional geological interpretations, including paleogeographic maps, depth frameworks and common risk segment maps (in ArcGIS and DecisionSpace as required) Delivering technical presentations to clients and colleagues Ensuring standards and quality. Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Professional Technologist - Principal Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 209529 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Compensation Information Compensation is competitive and commensurate with experience.
18/07/2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Landmark, a Halliburton company, builds software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. We are looking to recruit an experienced Geoscientist with a data science background to work within our Subsurface teams based in our Abingdon office, Oxfordshire. Essential Skills An honours degree (2:1+) and a postgraduate degree in Geology (at least MSc level) Ability to deliver high quality geoscience interpretations to time and standard Experience of wireline and seismic interpretation Data analytical skills and knowledge of databases Experience with coding and analytical languages such as Python, SQL, PostgreSQL etc. A professional attitude and a willingness to learn Comfortable working within a team and contributing to the geoscience and technological discussions within the company Desirable Skills PhD in Geology or Data Science At least 7 years' experience in the energy industry Experience with GIS technologies such as QGIS, ArcGIS Strong communication skills Experience with FME Desktop or FME Server/Cloud Experience with sequence stratigraphy Responsibilities Automation and expediting of workflows Assisting the interpretation of well, outcrop and seismic data Making interpretative geoscience contributions towards the digital twin Generation of regional geological interpretations, including paleogeographic maps, depth frameworks and common risk segment maps (in ArcGIS and DecisionSpace as required) Delivering technical presentations to clients and colleagues Ensuring standards and quality. Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Professional Technologist - Principal Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 209529 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Compensation Information Compensation is competitive and commensurate with experience.
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Landmark, a Halliburton company, builds software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. We are looking to recruit an experienced Geoscientist with a data science background to work within our Subsurface teams based in our Abingdon office, Oxfordshire. Essential Skills An honours degree (2:1+) and a postgraduate degree in Geology (at least MSc level) Ability to deliver high quality geoscience interpretations to time and standard Experience of wireline and seismic interpretation Data analytical skills and knowledge of databases Experience with coding and analytical languages such as Python, SQL, PostgreSQL etc. A professional attitude and a willingness to learn Comfortable working within a team and contributing to the geoscience and technological discussions within the company Desirable Skills PhD in Geology or Data Science At least 7 years' experience in the energy industry Experience with GIS technologies such as QGIS, ArcGIS Strong communication skills Experience with FME Desktop or FME Server/Cloud Experience with sequence stratigraphy Responsibilities Automation and expediting of workflows Assisting the interpretation of well, outcrop and seismic data Making interpretative geoscience contributions towards the digital twin Generation of regional geological interpretations, including paleogeographic maps, depth frameworks and common risk segment maps (in ArcGIS and DecisionSpace as required) Delivering technical presentations to clients and colleagues Ensuring standards and quality. Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Professional Technologist - Principal Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 209529 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Compensation Information Compensation is competitive and commensurate with experience.
18/07/2026
Full time
We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties Landmark, a Halliburton company, builds software and data platforms that help the global energy industry make better decisions. Our products span subsurface interpretation, well construction planning, reservoir simulation, production optimization, and digital operations. These are tools used daily by engineers and scientists at the world's largest energy companies and run as cloud-native SaaS platforms and as enterprise on-premises solutions. We are looking to recruit an experienced Geoscientist with a data science background to work within our Subsurface teams based in our Abingdon office, Oxfordshire. Essential Skills An honours degree (2:1+) and a postgraduate degree in Geology (at least MSc level) Ability to deliver high quality geoscience interpretations to time and standard Experience of wireline and seismic interpretation Data analytical skills and knowledge of databases Experience with coding and analytical languages such as Python, SQL, PostgreSQL etc. A professional attitude and a willingness to learn Comfortable working within a team and contributing to the geoscience and technological discussions within the company Desirable Skills PhD in Geology or Data Science At least 7 years' experience in the energy industry Experience with GIS technologies such as QGIS, ArcGIS Strong communication skills Experience with FME Desktop or FME Server/Cloud Experience with sequence stratigraphy Responsibilities Automation and expediting of workflows Assisting the interpretation of well, outcrop and seismic data Making interpretative geoscience contributions towards the digital twin Generation of regional geological interpretations, including paleogeographic maps, depth frameworks and common risk segment maps (in ArcGIS and DecisionSpace as required) Delivering technical presentations to clients and colleagues Ensuring standards and quality. Minimum Qualifications: Minimum qualifications may be acquired through technical schools or equivalent related experience. Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs. Depending on education, experience, and skill level, a variety of job opportunities might be available from the Professional Technologist - Principal Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 209529 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: Landmark Software & Services Full Time / Part Time: Full-time Compensation Information Compensation is competitive and commensurate with experience.
Location: Hybrid / Monument St, London EC3R 8AJ, UK job type: Permanent / Full-time Sector and subsector: IT Data Science Salary: Negotiable salary As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands on role - ideal for someone who thrives on translating data into actionable insight and producing high quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross functionally to enhance the company's products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator; able to engage stakeholders and present findings with clarity and confidence Self motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development
18/07/2026
Full time
Location: Hybrid / Monument St, London EC3R 8AJ, UK job type: Permanent / Full-time Sector and subsector: IT Data Science Salary: Negotiable salary As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands on role - ideal for someone who thrives on translating data into actionable insight and producing high quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross functionally to enhance the company's products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator; able to engage stakeholders and present findings with clarity and confidence Self motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development
The Acorn Group is a fast-growing insurance business. A best kept secret to many in the market - it operates with a fast-decision making culture and can-do attitude. The group consists of Acorn (broker), Granite (MGA and wholesale), Haven (underwriter) and this integrated model is a huge strength in the specialist market. Its core products are specialist private car, taxi, commercial vehicles, and telematics, with the Group also including a number of start-up and scale-up businesses, including a specialist home insurance business. With £750m+ GWP today and better returns than the market, it is establishing itself as the leading specialist motor insurance business in the UK and has plans to replicate this success within the home insurance market. Launched in 2017, Acorn's Home Insurance business is a rapidly growing scale-up business, with c.50k customers and c.£15m GWP currently, and a history of profitability despite small scale and recent growth rates. The Home business has a huge amount of untapped potential, with a recently appointed General Manager and significant investment in the business, including its tech platforms, planned over the next 12 months and beyond. We are looking for a talented Pricing professional to join our growing Home team. Reporting to the Household General Manager, this role represents a substantial opportunity for an enthusiastic and bright pricing expert at a senior analyst or junior manager level to step into a role where they are encouraged to take substantial ownership of analyses and help to shape the pricing structure of the product. Job Title Pricing Data Scientist Location Liverpool City Centre OR London Salary £Competitive Depending on experience Working hours 37.5 hours per week, Monday to Friday What you will be doing: Producing rigorous analyses for the Home General Manager, produced to a high standard and requiring only light-touch technical review. Proactively making recommendations for rating action and further steps based on own observations from analyses and wider business and technical understanding. Understanding and presenting the most relevant views from the data analysed, given the relevant context and brief from stakeholders. Conducting all elements of the role with commercial pragmatism in mind, including: Understanding and presenting the most relevant views and metrics from analysis with minimal additional prompting. Balancing technical best practice with speed to market and trading conditions considerations. Prioritise competing directions effectively based on likely additional value provided to the business. Collaborating proactively with the MI and Database teams to enhance the suite of BAU views and data available to understand and maintain the Home product. What we are looking for: Insightful, curious, and concise - prioritises understanding and cuts to the heart of the issue. Level-headed and pragmatic; solutions-minded with an eye for nuance and detail. Natural desire to act at pace and use initiative while maintaining high standards. Background in personal lines insurance pricing; experience of multiple aspects (risk, demand, market/street pricing, expenses), the UK market, and specific Household experience are both advantages. Technically capable, with strong statistical understanding and experience of leveraging machine learning for production and analysis. Python and SQL experience are both beneficial. Excellent pattern recognition with proven ability to deduce why a pattern is occurring. High-level bachelor's degree in a numerate discipline or evidence of equivalent proficiency by experience. Benefits Maximum 35 days' holiday (depending on role and tenure) including bank holidays, with additional buy/sell options. 24/7 mental health support and free counselling available. Flexible benefits, including early access to salary via our internal platform. Hybrid working options to support work-life balance and individual needs. Commitments to Colleagues Mindful Employer - championing mental health and wellbeing. Disability Confident Level 1 & 2 - creating accessible, inclusive opportunities. Menopause Friendly accredited - supporting every stage of life. Armed Forces Covenant signatory - honouring those who serve. Armed Forces Defence employer recognition scheme - Supporting those who serve. Great Places to Work 2024/25 - fostering an engaging and positive workplace culture. Best Place to Work for Development - proud to be investing in people's future. Best Place to Work for Women - breaking down barriers to women's career progression. A Few Things to Know Before You Apply If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements Because our training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process-or once you're part of the team-just let us know. Whether it's flexible hours, adapted equipment, or a bit of extra support, we'll work with you to make sure you can do your best work.
16/07/2026
Full time
The Acorn Group is a fast-growing insurance business. A best kept secret to many in the market - it operates with a fast-decision making culture and can-do attitude. The group consists of Acorn (broker), Granite (MGA and wholesale), Haven (underwriter) and this integrated model is a huge strength in the specialist market. Its core products are specialist private car, taxi, commercial vehicles, and telematics, with the Group also including a number of start-up and scale-up businesses, including a specialist home insurance business. With £750m+ GWP today and better returns than the market, it is establishing itself as the leading specialist motor insurance business in the UK and has plans to replicate this success within the home insurance market. Launched in 2017, Acorn's Home Insurance business is a rapidly growing scale-up business, with c.50k customers and c.£15m GWP currently, and a history of profitability despite small scale and recent growth rates. The Home business has a huge amount of untapped potential, with a recently appointed General Manager and significant investment in the business, including its tech platforms, planned over the next 12 months and beyond. We are looking for a talented Pricing professional to join our growing Home team. Reporting to the Household General Manager, this role represents a substantial opportunity for an enthusiastic and bright pricing expert at a senior analyst or junior manager level to step into a role where they are encouraged to take substantial ownership of analyses and help to shape the pricing structure of the product. Job Title Pricing Data Scientist Location Liverpool City Centre OR London Salary £Competitive Depending on experience Working hours 37.5 hours per week, Monday to Friday What you will be doing: Producing rigorous analyses for the Home General Manager, produced to a high standard and requiring only light-touch technical review. Proactively making recommendations for rating action and further steps based on own observations from analyses and wider business and technical understanding. Understanding and presenting the most relevant views from the data analysed, given the relevant context and brief from stakeholders. Conducting all elements of the role with commercial pragmatism in mind, including: Understanding and presenting the most relevant views and metrics from analysis with minimal additional prompting. Balancing technical best practice with speed to market and trading conditions considerations. Prioritise competing directions effectively based on likely additional value provided to the business. Collaborating proactively with the MI and Database teams to enhance the suite of BAU views and data available to understand and maintain the Home product. What we are looking for: Insightful, curious, and concise - prioritises understanding and cuts to the heart of the issue. Level-headed and pragmatic; solutions-minded with an eye for nuance and detail. Natural desire to act at pace and use initiative while maintaining high standards. Background in personal lines insurance pricing; experience of multiple aspects (risk, demand, market/street pricing, expenses), the UK market, and specific Household experience are both advantages. Technically capable, with strong statistical understanding and experience of leveraging machine learning for production and analysis. Python and SQL experience are both beneficial. Excellent pattern recognition with proven ability to deduce why a pattern is occurring. High-level bachelor's degree in a numerate discipline or evidence of equivalent proficiency by experience. Benefits Maximum 35 days' holiday (depending on role and tenure) including bank holidays, with additional buy/sell options. 24/7 mental health support and free counselling available. Flexible benefits, including early access to salary via our internal platform. Hybrid working options to support work-life balance and individual needs. Commitments to Colleagues Mindful Employer - championing mental health and wellbeing. Disability Confident Level 1 & 2 - creating accessible, inclusive opportunities. Menopause Friendly accredited - supporting every stage of life. Armed Forces Covenant signatory - honouring those who serve. Armed Forces Defence employer recognition scheme - Supporting those who serve. Great Places to Work 2024/25 - fostering an engaging and positive workplace culture. Best Place to Work for Development - proud to be investing in people's future. Best Place to Work for Women - breaking down barriers to women's career progression. A Few Things to Know Before You Apply If your application is successful, we will commence relevant employment checks prior to you commencing employment with us. These will include a standard criminal record check and an insolvency register check. Visa Requirements Because our training is quite comprehensive, we can only consider applicants who have at least one year remaining on their Graduate or Post-Study Work visa. At the moment, we're not able to offer visa sponsorship. We're Here to Support You We're committed to creating an inclusive, supportive workplace where everyone can flourish. If you need any adjustments during the recruitment process-or once you're part of the team-just let us know. Whether it's flexible hours, adapted equipment, or a bit of extra support, we'll work with you to make sure you can do your best work.
McKinsey & Company, Inc.
City Of Westminster, London
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem solver who is energized by challenges? You've come to the right place. YOUR IMPACT As a Software Engineer, you will collaborate with a global network of technologists, designers, and strategists to help clients transform their businesses through innovative digital solutions. In this hands on role, you'll develop cutting edge products, mentor client teams, and shape engineering cultures while growing your expertise across diverse industries and technologies. In this role, you will work hands on with clients across industries to bring their digital ambitions to life. You will develop software products and services from the ground up while coaching and mentoring client teams on engineering best practices, user centric design, and Agile values. By co creating with clients and their leadership, you'll help build not only cutting edge products but also the technical capabilities and cultures needed to sustain them. Your work will drive meaningful change for clients and their industries. You will participate in cross functional problem solving sessions with client leaders, shape their digital strategies, and deliver solutions that go beyond the product itself. Your efforts will help clients build scalable teams and engineering cultures that enable long term success. You will collaborate with clients across industries to turn their digital ambitions into reality through hands on technical expertise. Based in one of our global locations, you will be part of QuantumBlack AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultants passionate about creating industry shaping products and tools. At McKinsey, you'll grow as a technologist and leader, work across diverse industries and technologies, and enjoy opportunities to contribute to digital strategies, build impactful products, and mentor others. YOUR GROWTH Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well being for you and your family. YOUR QUALIFICATIONS AND SKILLS Undergraduate or master's degree; or equivalent experience. 2 5+ years of experience developing full stack applications by writing code that is readable, testable, maintainable, and scalable. Demonstrated experience working collaboratively with other developers, as well as technical and non technical people within software teams. Hands on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL). Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD. Strong focus on automated testing, logging, monitoring, and overall system reliability. Experience working in Agile teams, including active participation in sprint ceremonies. Experience pair programming collaboratively with other developers. Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment. Strong communication skills, both verbal and written in English, with the ability to adjust your style to suit different perspectives and seniority levels. FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
14/07/2026
Full time
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem solver who is energized by challenges? You've come to the right place. YOUR IMPACT As a Software Engineer, you will collaborate with a global network of technologists, designers, and strategists to help clients transform their businesses through innovative digital solutions. In this hands on role, you'll develop cutting edge products, mentor client teams, and shape engineering cultures while growing your expertise across diverse industries and technologies. In this role, you will work hands on with clients across industries to bring their digital ambitions to life. You will develop software products and services from the ground up while coaching and mentoring client teams on engineering best practices, user centric design, and Agile values. By co creating with clients and their leadership, you'll help build not only cutting edge products but also the technical capabilities and cultures needed to sustain them. Your work will drive meaningful change for clients and their industries. You will participate in cross functional problem solving sessions with client leaders, shape their digital strategies, and deliver solutions that go beyond the product itself. Your efforts will help clients build scalable teams and engineering cultures that enable long term success. You will collaborate with clients across industries to turn their digital ambitions into reality through hands on technical expertise. Based in one of our global locations, you will be part of QuantumBlack AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultants passionate about creating industry shaping products and tools. At McKinsey, you'll grow as a technologist and leader, work across diverse industries and technologies, and enjoy opportunities to contribute to digital strategies, build impactful products, and mentor others. YOUR GROWTH Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast paced learning experience, owning your journey. A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well being for you and your family. YOUR QUALIFICATIONS AND SKILLS Undergraduate or master's degree; or equivalent experience. 2 5+ years of experience developing full stack applications by writing code that is readable, testable, maintainable, and scalable. Demonstrated experience working collaboratively with other developers, as well as technical and non technical people within software teams. Hands on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL). Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CD. Strong focus on automated testing, logging, monitoring, and overall system reliability. Experience working in Agile teams, including active participation in sprint ceremonies. Experience pair programming collaboratively with other developers. Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment. Strong communication skills, both verbal and written in English, with the ability to adjust your style to suit different perspectives and seniority levels. FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
McKinsey & Company, Inc.
City Of Westminster, London
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will be part of QuantumBlack Labs and the Robotics and Physical AI team within our Advanced Industries Sector, a group of engineers, scientists, product managers, and machine learning specialists building a first of its kind physics AI capability that accelerates and scales how the world designs and builds physical systems. Our team is responsible for: Building multi-physics simulation frameworks, digital twins, and surrogate models that stand in for slow, expensive physics solvers Applying physics-informed machine learning and robotics to real-world engineering systems across advanced industries, from chip design to aircraft manufacturing Deploying scalable, production grade tools on HPC infrastructure that embed our distinctive technical approach and engineering knowledge for industrial clients You will lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational insights into strategic recommendations and solutions that deliver measurable impact for clients. You'll create surrogate models that replace costly simulations, compress design cycles from weeks to minutes, and bring autonomy to robotic systems on the factory floor. Collaborating with global, multidisciplinary teams, you'll drive innovation, develop impactful technologies, and grow as a leader in physical AI. You will work with diverse and complex engineering data sets, develop scientific software products, and write optimized code to enhance our internal tools. Collaborating with scientists, engineers, and designers, you will leverage advanced math, statistics, and machine learning to deliver impactful solutions and grow the firm's capacity to deliver at scale. Your work will help clients address their most pressing challenges by deploying cutting-edge technology and amplifying impact across industries. You will also contribute to the broader physical AI community by writing papers, presenting at conferences, and sharing knowledge with colleagues. You will be based in London or Madrid and collaborate closely with scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you'll work on interdisciplinary projects to solve complex engineering challenges across a range of industries, leading the development and application of cutting-edge physics AI solutions that drive measurable business impact. You'll grow as a technologist and leader in a collaborative, multidisciplinary environment, pushing the boundaries of innovation while shaping the future of physical AI and robotics. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply. Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++). Demonstrated fluency with statistical sampling, machine learning, and data science techniques. Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion. Proficient in rational decision-making based on data, facts, and logical reasoning. Ability to create work-product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles or other written deliverables. Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment. Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times. Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.). Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels. FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
10/07/2026
Full time
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place. YOUR IMPACT You will be part of QuantumBlack Labs and the Robotics and Physical AI team within our Advanced Industries Sector, a group of engineers, scientists, product managers, and machine learning specialists building a first of its kind physics AI capability that accelerates and scales how the world designs and builds physical systems. Our team is responsible for: Building multi-physics simulation frameworks, digital twins, and surrogate models that stand in for slow, expensive physics solvers Applying physics-informed machine learning and robotics to real-world engineering systems across advanced industries, from chip design to aircraft manufacturing Deploying scalable, production grade tools on HPC infrastructure that embed our distinctive technical approach and engineering knowledge for industrial clients You will lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models, applying physics-informed machine learning to real-world engineering systems, deploying scalable production tools on HPC infrastructure, and translating computational insights into strategic recommendations and solutions that deliver measurable impact for clients. You'll create surrogate models that replace costly simulations, compress design cycles from weeks to minutes, and bring autonomy to robotic systems on the factory floor. Collaborating with global, multidisciplinary teams, you'll drive innovation, develop impactful technologies, and grow as a leader in physical AI. You will work with diverse and complex engineering data sets, develop scientific software products, and write optimized code to enhance our internal tools. Collaborating with scientists, engineers, and designers, you will leverage advanced math, statistics, and machine learning to deliver impactful solutions and grow the firm's capacity to deliver at scale. Your work will help clients address their most pressing challenges by deploying cutting-edge technology and amplifying impact across industries. You will also contribute to the broader physical AI community by writing papers, presenting at conferences, and sharing knowledge with colleagues. You will be based in London or Madrid and collaborate closely with scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you'll work on interdisciplinary projects to solve complex engineering challenges across a range of industries, leading the development and application of cutting-edge physics AI solutions that drive measurable business impact. You'll grow as a technologist and leader in a collaborative, multidisciplinary environment, pushing the boundaries of innovation while shaping the future of physical AI and robotics. YOUR GROWTH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else. When you join us, you will have: Continuous learning:Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey. A voice that matters:From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes. Global community:With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences. World-class benefits:On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family. YOUR QUALIFICATIONS AND SKILLS Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply. Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++). Demonstrated fluency with statistical sampling, machine learning, and data science techniques. Excellent organizational capabilities, including the ability to initiate tasks independently and see them through to completion. Proficient in rational decision-making based on data, facts, and logical reasoning. Ability to create work-product-focused materials / outputs, which may include PowerPoint decks, Excel models, articles or other written deliverables. Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment. Ability to work or attend meetings outside of traditional business hours or take on projects with limited or no notice at times. Ability to travel to and work in varying environments that may be challenging and/or not accessible (e.g., manufacturing facilities, etc.). Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels. FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Mission exemplifies EIT's commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. This remit includes the development of a decentralised, sample to answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.'s cloud-computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detail oriented Sequencing Technician to support sequencing operations within the Pathogen Applications Team. This is a laboratory-based role focused on supporting routine sequencing workflows and laboratory operations. Working closely with the Sequencing Operations Scientist and wider Applications Team, you will perform standardised laboratory procedures including sample receipt, QC workflows, sequencing preparation, inventory management, and laboratory documentation. This role would suit a candidate with a strong undergraduate laboratory background who is looking to develop hands on experience in sequencing and molecular biology within a fast paced research environment. Key Responsibilities Support routine sequencing workflows following established protocols Perform laboratory procedures including: Sample receipt and logging Sample QC and nucleic acid quantification qPCR assays Library preparation support Sequencing run preparation Microbiology culture and culture enumeration Maintain accurate and up-to-date laboratory records and sample tracking documentation Assist with sample management and traceability processes Support inventory management including: Stock checks Reagent preparation Consumable ordering Assist with flow cell tracking and sequencing consumables management Support laboratory housekeeping and equipment maintenance activities Work in accordance with laboratory health and safety and HTA requirements where applicable Assist with basic microbiology and molecular biology workflows as required Escalate laboratory or sequencing issues to senior staff when identified Essential Knowledge, Skills, and Experience Bachelor's degree in a relevant scientific discipline (e.g. molecular biology, microbiology, biomedical sciences or related field) Minimum 1 year of practical laboratory experience gained through placements, internships, or employment Basic molecular biology laboratory skills Good organisational skills and attention to detail Ability to follow standard operating procedures accurately Good written and verbal communication skills Basic IT skills including spreadsheets and laboratory documentation Desirable Knowledge, Skills, and Experience Experience with qPCR or nucleic acid quantification methods Exposure to sequencing workflows or sequencing technologies Experience working in a regulated or high-throughput laboratory environment Familiarity with sample tracking or laboratory record systems Basic microbiology laboratory experience Key Attributes Organised and reliable Strong attention to detail Willingness to learn and develop new laboratory skills Team-oriented with a collaborative approach Able to work effectively in a fast paced laboratory environment Proactive with a positive "can do" attitude Our Benefits: Salary: £Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). This is a fully onsite role in Oxford.
04/07/2026
Full time
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Mission exemplifies EIT's commitment to transformative science. It aims to revolutionise the diagnosis and treatment of infectious diseases by leveraging whole genome sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. This remit includes the development of a decentralised, sample to answer sequencing diagnostic platform for infectious diseases, enabling rapid and accurate analysis of patient samples without prior assumptions. Supported by Oracle Inc.'s cloud-computing scale and security infrastructure, the Pathogen Mission is progressing towards certified diagnostic products for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detail oriented Sequencing Technician to support sequencing operations within the Pathogen Applications Team. This is a laboratory-based role focused on supporting routine sequencing workflows and laboratory operations. Working closely with the Sequencing Operations Scientist and wider Applications Team, you will perform standardised laboratory procedures including sample receipt, QC workflows, sequencing preparation, inventory management, and laboratory documentation. This role would suit a candidate with a strong undergraduate laboratory background who is looking to develop hands on experience in sequencing and molecular biology within a fast paced research environment. Key Responsibilities Support routine sequencing workflows following established protocols Perform laboratory procedures including: Sample receipt and logging Sample QC and nucleic acid quantification qPCR assays Library preparation support Sequencing run preparation Microbiology culture and culture enumeration Maintain accurate and up-to-date laboratory records and sample tracking documentation Assist with sample management and traceability processes Support inventory management including: Stock checks Reagent preparation Consumable ordering Assist with flow cell tracking and sequencing consumables management Support laboratory housekeeping and equipment maintenance activities Work in accordance with laboratory health and safety and HTA requirements where applicable Assist with basic microbiology and molecular biology workflows as required Escalate laboratory or sequencing issues to senior staff when identified Essential Knowledge, Skills, and Experience Bachelor's degree in a relevant scientific discipline (e.g. molecular biology, microbiology, biomedical sciences or related field) Minimum 1 year of practical laboratory experience gained through placements, internships, or employment Basic molecular biology laboratory skills Good organisational skills and attention to detail Ability to follow standard operating procedures accurately Good written and verbal communication skills Basic IT skills including spreadsheets and laboratory documentation Desirable Knowledge, Skills, and Experience Experience with qPCR or nucleic acid quantification methods Exposure to sequencing workflows or sequencing technologies Experience working in a regulated or high-throughput laboratory environment Familiarity with sample tracking or laboratory record systems Basic microbiology laboratory experience Key Attributes Organised and reliable Strong attention to detail Willingness to learn and develop new laboratory skills Team-oriented with a collaborative approach Able to work effectively in a fast paced laboratory environment Proactive with a positive "can do" attitude Our Benefits: Salary: £Competitive + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Working Together - What It Involves: You must have the right to work permanently in the UK with a willingness to travel as necessary. In certain cases, we can consider sponsorship, and this will be assessed on a case-by case basis. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate). This is a fully onsite role in Oxford.
A data scientist is essential to running a business or managing sports teams. Though their best work may go largely unnoticed, very few institutions can survive without them. Data scientists have become more prominent in the corporate world. Whether its translating SEO reports, carrying out complex financial algorithms or even helping football teams identify why they're getting so many more injuries than their opponents. More industries are showing their need for algorithms, data and analysis. This is a career that is only just getting started. What is a data scientist? A data scientist is someone who works with raw data and translates it into digestible, easy-to-understand metrics for others. Data scientists can work for businesses, charities or sports clubs. Data scientists are often referred to as "data translators". This is because a data scientist will often work with raw, often unfiltered data and need to "translate" the data into something more readable for the end user. A data scientist or engineer will work with various sources and techniques. Some data scientists use algorithms, artificial intelligence, machine learning, statistical modelling or data mining to unearth the relevant data for a project. Responsibilities A data scientist has a wide remit in terms of responsibility. Not all data engineer jobs will have the same responsibilities. These can vary depending on what industry you work in and what company or organisation you work for. Assess each department's need for data and how, if at all, it can be tailored for them. Build algorithms to supply tailored reports for each department. Conduct research and develop data gathering and translation techniques. Create reports that are easy to understand for the general reader. Liaise with members of other departments to gauge their data needs. Liaise with other data specialists. Research different statistical techniques. Test data effectiveness. Use machine learning and rolls. Working out what your company or organisation's data needs are. These responsibilities will change as you move through the role. If you move into management or more senior roles, you will be expected to manage a team of data scientists and negotiate budgets. Salary A data scientist salary will depend on the company you work for, its location and the industry you are working in. Your experience will also factor into your earning potential, as will your level of education. Salaries will start out low for a data scientist graduate, but will grow with experience. To begin with, generally, a junior data scientist, junior data engineer or starting data engineer salary will start between £25,000 and £35,000. This can rise as you gain more experience in the role, however. Once you have enough experience and a senior enough job title, you can expect to earn between £40,000 and £60,000. Those who are chief data scientists or data leads can earn as much as £130,000. Qualifications You will need an undergraduate degree for this role and a postgraduate one, depending on the industry you're working in. You may also want to specialise in niche or specific areas by combining a different subject, such as a business studies degree with more data led qualifications at postgraduate level. The best subjects to study at university for a data scientist are: Computer science degrees Data analytics degrees Data science degrees Engineering degrees Finance degrees Mathematics degrees Operational research degrees Physics degrees Statistics degrees Sports science degrees It is best to know which industry you want to work in before selecting your degree. Those working in business or corporate settings may need to have experience in programming and computer analysis, whilst those in sport will need to have a more mathematical approach. If you decide to study at a postgraduate level, you can focus on more specific courses related to data. These courses will take a more focused view of data analysis and will teach you niche skills and abilities beyond simple analysis. The best subjects to study at a postgraduate level are: Big data degrees Business analytics degrees Data analytics degrees Data science degrees Some of these subjects are only available when studying a master's degree or a PhD. The work involved in these courses and may need you to complete some form of work experience or placement beforehand. Training and development The company you work for will likely have your training and development handled in-house. Despite this, you will also be responsible for your own training and development and keeping up to date with industry changes. Work experience isn't too difficult to come by, but it will largely depend on the area you are applying in. The training you do will not necessarily be entirely data based. You may be required to take on specific industry training courses. For instance, those working in sport, may be required to train in specific areas of that sport, to enhance their learning. There are still some institutions and companies that will offer data specific courses. Institutions such as The Royal Statistical Society (RSS), BCS, The Chartered Institute for IT or the Office for National Statistics (ONS) offer a wide variety of training courses and professional development platforms for registered members. As data analysis is quite a niche and specific topic, more focused training courses will fall under your remit. You will be expected to learn new skills, liaise with industry professionals and attend networking events to expand your skill set. For those working in modern sport, you may be expected to expand your knowledge with other training courses. For instance, those studying as a data analyst, football data scientist or sports scientist at a football club, may be expected to complete their coaching badges with the Football Association. These will enhance your knowledge of the sport and allow you to provide more detailed assistance to your colleagues. Skills Data scientists need a variety of different skills in order to be successful. These skills can be further honed through advanced training and development. The skills needed to become a data scientist are: An ability to communicate and present data in an easy to read manner. An ability to work under pressure. Brilliant problem solving skills. Excellent analytical skills. Excellent organisational skills. Good attention to detail. Resilience. Time management skills. As you move into management or more senior roles, you will need more specific skills related to team leading. At this level, you will need to have the ability to manage and encourage your team, manage workloads and have an ability to collaborate with other department heads. Work experience Work experience isn't too difficult to come by, but it will largely depend on the area you are applying in. For instance, shadowing an analyst as they run analytical models of a company's SEO potential will have minimal pushback compared to wanting to shadow someone who is in charge of personal medical data. Placements or a data science internship at university are a good way to gain experience too. Not all companies will have internship placements, but if your university has good connections with local businesses, you may be able to take on a short placement. Registering with institutions such as the RSS, BCS or the ONS can be helpful too. These institutions will have placement opportunities and vacancies listed there and useful classes to help you find work. Websites such as Kaggle and Topcoder are good for a graduate data scientist and for ways to find data science jobs. Career prospects Your ability to progress in your role will largely depend on your industry. For instance, those working in the NHS or in a government department, will have a more defined career path, particularly in the NHS, who have their own Agenda for Change (AfC) pay scales, which will also dictate your own progression within that industry. A data scientist is someone who works with raw data and translates it into digestible, easy to understand metrics for others. Those working in sport, may have a less structured approach to progression, but with more support to get there. Sports science and data analysis are becoming huge parts of how cricket, football and rugby are all monitored, even one man sports like golf have a need for data scientists to aid their game. It is possible to oversee teams of scientists and analysts within a specific team or institution. You may find senior roles and progression easier, even if the progression isn't as defined. Sports clubs rely on their head of data science to make a difference for them. The skills you acquire can also be used across a range of other industries. Some data scientists may decide to move into teaching, tutoring or freelance consultancy work, all of which can be highly lucrative career paths. References 1 Graduate Data Scientist Salaries in United Kingdom - Glassdoor.co.uk Retrieved 7 November 2022. 2 Data Scientist Salaries in United Kingdom - Glassdoor.co.uk Retrieved 7 November 2022. 3 Chief Data Scientist Salaries in United Kingdom - Glassdoor.co.uk Retrieved 7 November 2022.
03/07/2026
Full time
A data scientist is essential to running a business or managing sports teams. Though their best work may go largely unnoticed, very few institutions can survive without them. Data scientists have become more prominent in the corporate world. Whether its translating SEO reports, carrying out complex financial algorithms or even helping football teams identify why they're getting so many more injuries than their opponents. More industries are showing their need for algorithms, data and analysis. This is a career that is only just getting started. What is a data scientist? A data scientist is someone who works with raw data and translates it into digestible, easy-to-understand metrics for others. Data scientists can work for businesses, charities or sports clubs. Data scientists are often referred to as "data translators". This is because a data scientist will often work with raw, often unfiltered data and need to "translate" the data into something more readable for the end user. A data scientist or engineer will work with various sources and techniques. Some data scientists use algorithms, artificial intelligence, machine learning, statistical modelling or data mining to unearth the relevant data for a project. Responsibilities A data scientist has a wide remit in terms of responsibility. Not all data engineer jobs will have the same responsibilities. These can vary depending on what industry you work in and what company or organisation you work for. Assess each department's need for data and how, if at all, it can be tailored for them. Build algorithms to supply tailored reports for each department. Conduct research and develop data gathering and translation techniques. Create reports that are easy to understand for the general reader. Liaise with members of other departments to gauge their data needs. Liaise with other data specialists. Research different statistical techniques. Test data effectiveness. Use machine learning and rolls. Working out what your company or organisation's data needs are. These responsibilities will change as you move through the role. If you move into management or more senior roles, you will be expected to manage a team of data scientists and negotiate budgets. Salary A data scientist salary will depend on the company you work for, its location and the industry you are working in. Your experience will also factor into your earning potential, as will your level of education. Salaries will start out low for a data scientist graduate, but will grow with experience. To begin with, generally, a junior data scientist, junior data engineer or starting data engineer salary will start between £25,000 and £35,000. This can rise as you gain more experience in the role, however. Once you have enough experience and a senior enough job title, you can expect to earn between £40,000 and £60,000. Those who are chief data scientists or data leads can earn as much as £130,000. Qualifications You will need an undergraduate degree for this role and a postgraduate one, depending on the industry you're working in. You may also want to specialise in niche or specific areas by combining a different subject, such as a business studies degree with more data led qualifications at postgraduate level. The best subjects to study at university for a data scientist are: Computer science degrees Data analytics degrees Data science degrees Engineering degrees Finance degrees Mathematics degrees Operational research degrees Physics degrees Statistics degrees Sports science degrees It is best to know which industry you want to work in before selecting your degree. Those working in business or corporate settings may need to have experience in programming and computer analysis, whilst those in sport will need to have a more mathematical approach. If you decide to study at a postgraduate level, you can focus on more specific courses related to data. These courses will take a more focused view of data analysis and will teach you niche skills and abilities beyond simple analysis. The best subjects to study at a postgraduate level are: Big data degrees Business analytics degrees Data analytics degrees Data science degrees Some of these subjects are only available when studying a master's degree or a PhD. The work involved in these courses and may need you to complete some form of work experience or placement beforehand. Training and development The company you work for will likely have your training and development handled in-house. Despite this, you will also be responsible for your own training and development and keeping up to date with industry changes. Work experience isn't too difficult to come by, but it will largely depend on the area you are applying in. The training you do will not necessarily be entirely data based. You may be required to take on specific industry training courses. For instance, those working in sport, may be required to train in specific areas of that sport, to enhance their learning. There are still some institutions and companies that will offer data specific courses. Institutions such as The Royal Statistical Society (RSS), BCS, The Chartered Institute for IT or the Office for National Statistics (ONS) offer a wide variety of training courses and professional development platforms for registered members. As data analysis is quite a niche and specific topic, more focused training courses will fall under your remit. You will be expected to learn new skills, liaise with industry professionals and attend networking events to expand your skill set. For those working in modern sport, you may be expected to expand your knowledge with other training courses. For instance, those studying as a data analyst, football data scientist or sports scientist at a football club, may be expected to complete their coaching badges with the Football Association. These will enhance your knowledge of the sport and allow you to provide more detailed assistance to your colleagues. Skills Data scientists need a variety of different skills in order to be successful. These skills can be further honed through advanced training and development. The skills needed to become a data scientist are: An ability to communicate and present data in an easy to read manner. An ability to work under pressure. Brilliant problem solving skills. Excellent analytical skills. Excellent organisational skills. Good attention to detail. Resilience. Time management skills. As you move into management or more senior roles, you will need more specific skills related to team leading. At this level, you will need to have the ability to manage and encourage your team, manage workloads and have an ability to collaborate with other department heads. Work experience Work experience isn't too difficult to come by, but it will largely depend on the area you are applying in. For instance, shadowing an analyst as they run analytical models of a company's SEO potential will have minimal pushback compared to wanting to shadow someone who is in charge of personal medical data. Placements or a data science internship at university are a good way to gain experience too. Not all companies will have internship placements, but if your university has good connections with local businesses, you may be able to take on a short placement. Registering with institutions such as the RSS, BCS or the ONS can be helpful too. These institutions will have placement opportunities and vacancies listed there and useful classes to help you find work. Websites such as Kaggle and Topcoder are good for a graduate data scientist and for ways to find data science jobs. Career prospects Your ability to progress in your role will largely depend on your industry. For instance, those working in the NHS or in a government department, will have a more defined career path, particularly in the NHS, who have their own Agenda for Change (AfC) pay scales, which will also dictate your own progression within that industry. A data scientist is someone who works with raw data and translates it into digestible, easy to understand metrics for others. Those working in sport, may have a less structured approach to progression, but with more support to get there. Sports science and data analysis are becoming huge parts of how cricket, football and rugby are all monitored, even one man sports like golf have a need for data scientists to aid their game. It is possible to oversee teams of scientists and analysts within a specific team or institution. You may find senior roles and progression easier, even if the progression isn't as defined. Sports clubs rely on their head of data science to make a difference for them. The skills you acquire can also be used across a range of other industries. Some data scientists may decide to move into teaching, tutoring or freelance consultancy work, all of which can be highly lucrative career paths. References 1 Graduate Data Scientist Salaries in United Kingdom - Glassdoor.co.uk Retrieved 7 November 2022. 2 Data Scientist Salaries in United Kingdom - Glassdoor.co.uk Retrieved 7 November 2022. 3 Chief Data Scientist Salaries in United Kingdom - Glassdoor.co.uk Retrieved 7 November 2022.