TEKsystems
Job Title: Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) Job Description We are seeking an experienced Lead Machine Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation and explainability of inference processes. Collaborating closely with data scientists and product teams, your role will focus on enhancing MLOps practices, ensuring high standards of security, performance, and compliance. Responsibilities Build and maintain scalable feature pipelines within data lakehouse architectures. Develop fallback feature flows and implement robust data quality checks. Develop ranking, scoring, and entity-similarity models for the matching platform. Use modern ML model frameworks such as PyTorch, TensorFlow, or XGBoost. Apply SHAP or similar techniques to generate interpretable model explanations. Build and maintain training, processing, and inference pipelines using AWS SageMaker. Deploy and optimise low-latency, real-time inference endpoints. Implement feature drift and concept drift monitoring. Apply procedures for data handling, encryption, PII minimisation, and auditability. Conduct validation of models using golden datasets and baseline tests. Essential Skills Strong experience delivering production-grade ML systems. Proficiency with AWS SageMaker, including training jobs and Model Registry. Excellent skills with ML models like PyTorch, TensorFlow, or XGBoost. Hands-on experience with model explainability tools such as SHAP. Understanding of low-latency, real-time inference patterns. experience in drift detection, monitoring, and telemetry. Working knowledge of ML governance and secure ML practices. Strong understanding of MLOps, CI/CD, and automation for ML workflows. Additional Skills & Qualifications experience with feature stores or Lakehouse data architectures. Previous experience with ranking, matching, or similarity models. Familiarity with cross-account AWS IAM patterns. Bachelor's degree in a STEM subject such as mathematics, physics, engineering, or computer science. Why Work Here? Join a forward-thinking company focused on innovation and excellence in machine learning. We provide a collaborative environment where your contributions directly impact the development of cutting-edge technology. Enjoy opportunities for professional growth and be part of a team dedicated to pioneering advancements in AI/ML. Work Environment Work in a dynamic and collaborative environment leveraging state-of-the-art technologies. You will have access to modern tools and resources, including AWS SageMaker and various ML frameworks. Our flexible work culture promotes work-life balance and encourages continuous learning and development. Location London, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Job Title: Lead Machine Learning Engineer (SageMaker, MLOps, Explainability) Job Description We are seeking an experienced Lead Machine Learning Engineer to design, build, and productionise machine learning models for our innovative matching platform. You will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation and explainability of inference processes. Collaborating closely with data scientists and product teams, your role will focus on enhancing MLOps practices, ensuring high standards of security, performance, and compliance. Responsibilities Build and maintain scalable feature pipelines within data lakehouse architectures. Develop fallback feature flows and implement robust data quality checks. Develop ranking, scoring, and entity-similarity models for the matching platform. Use modern ML model frameworks such as PyTorch, TensorFlow, or XGBoost. Apply SHAP or similar techniques to generate interpretable model explanations. Build and maintain training, processing, and inference pipelines using AWS SageMaker. Deploy and optimise low-latency, real-time inference endpoints. Implement feature drift and concept drift monitoring. Apply procedures for data handling, encryption, PII minimisation, and auditability. Conduct validation of models using golden datasets and baseline tests. Essential Skills Strong experience delivering production-grade ML systems. Proficiency with AWS SageMaker, including training jobs and Model Registry. Excellent skills with ML models like PyTorch, TensorFlow, or XGBoost. Hands-on experience with model explainability tools such as SHAP. Understanding of low-latency, real-time inference patterns. experience in drift detection, monitoring, and telemetry. Working knowledge of ML governance and secure ML practices. Strong understanding of MLOps, CI/CD, and automation for ML workflows. Additional Skills & Qualifications experience with feature stores or Lakehouse data architectures. Previous experience with ranking, matching, or similarity models. Familiarity with cross-account AWS IAM patterns. Bachelor's degree in a STEM subject such as mathematics, physics, engineering, or computer science. Why Work Here? Join a forward-thinking company focused on innovation and excellence in machine learning. We provide a collaborative environment where your contributions directly impact the development of cutting-edge technology. Enjoy opportunities for professional growth and be part of a team dedicated to pioneering advancements in AI/ML. Work Environment Work in a dynamic and collaborative environment leveraging state-of-the-art technologies. You will have access to modern tools and resources, including AWS SageMaker and various ML frameworks. Our flexible work culture promotes work-life balance and encourages continuous learning and development. Location London, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
GlaxoSmithKline
Stevenage, Hertfordshire
Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage, UK - London - Brentford, USA - Pennsylvania - Philadelphia Posted Date: Oct Over the last 18 months, we've seen how critical the healthcare industry is to society.If you would love to be part of making a difference,thenconsider joining us and applying for our Data Science Engineer II opportunity. You would be supportingnew GSK's purpose of uniting science, talent, and technology to get ahead of disease together. Our purpose is to develop tools, models, and processes to enable scientists to create preventative products such as vaccines or discover ways to treat illnesses such as therapeutics. We also support the equally important development of robust and efficient manufacturing of such products. Examples of specific areas of interest includedelivering end-to-end biomarker data pipelines; deliveringintegrateddata analytics environmentsto aid scientists in target identificationor models that drive more efficient cell line development. We area teamwith an ambition to beat the cutting edge of thepharmaceutical industry datascience and engineering. So,as anR&Ddepartment with a passion forusingdata to solve problemsand improve patient care, why wouldn't you consider working forus? Our organization is built on the principles of ownership, accountability, continuous development, and collaboration. Our leaders are committed to your career and development from day one. You will be working in a stimulating and supportive environment as part of a dynamic, growing community. You will have access to our Learning & Development resources, comprising a blend of on-the-job learning with targeted coaching, peer-to-peer mentoring, expert-led workshops, and a network of learning providers. The Team? The Data Science and Visualisation team (DSV) is an experienced team of data scientists and software engineers that focuses on the creation and deployment of leading-edge, reusable data science microservices and products. This might be the creation of genetic and genomic datascience products, changing the decisioncycle time for our biopharmaceuticals, or accelerating assets in clinical trials through smart site selection and forecasting. The ease of use and interpretation in the hands of the scientist is very important to us, hence the emphasis upon not just the data science but the visualization. The Role? The Data Science Engineer II is a hands-on position where you will be empowered to be creative, ambitious, and bold. Given a defined business or scientific objective, you will apply machine learning to the relevant data to iterate over model choices metrics to produce high-quality predictive models. The data science engineer will accomplish this by writing fantastic code along with the proper unit, functional, and integration tests for code to ensure quality. Key Deliverables As a Data Science Engineer II, you will: Evaluate and explore the data for the intended task and will be able to design and create models that perform to requirements and specifications. Ship ML models into production and understand how a model's requirements or the available data might change over time and design an ML product that will be able to cope with these requirements. Evaluate other options if the machine learning problem fails, the engineer should be able to try other architecture features, featurization techniques, cost functions, etc., in a way that will reliably improve the performance metrics for that model. Compare results from various methodologies and recommend the best techniques to stakeholders and be able to defend and explain the rationale to stakeholders. Connect and collaborate with subject matter experts in biology, chemistry, and medicine and offer, challenge, and solicit advice via peer review to enhance quality, share best practices and embed innovation. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: BS Degree (Mathematics or Engineering, Data Science/ML, Statistics, Computer Science, Physics, Computational Biology, Computational Chemistry,) with 4+ years of experience (or MS with 2+ years of experience, or PhD) in the biotech/pharmaceutical/healthcare/diagnostics/health insurance space Experience designing, developing, and implementing analytical solutions using a variety of commercial and open-source tools (deep experience using common tools like Python and/or R would be required) Experience comparing results from various methodologies then explaining the technical concepts at all levels in the organization, including senior managers/stakeholders Experience creating algorithms to extract information from large, multiparametric data sets and deploy them into production to realize significant value Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience in the development of interpretable machine learning to production using a programming language such as Python or R Experience in manipulating data in a big data environment - experience with hive, SQL, and the like would be helpful Experience in the biotech/pharmaceutical/healthcare/diagnostics/health insurance space Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and well-being Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness LI-GSK If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1- (US Toll Free) or +1 (outside US). GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. At GSK, the health and safety of our employees are of paramount importance. As a science-led healthcare company on a mission to get ahead of disease together, we believe that supporting vaccination against COVID-19 is the single best thing we can do in the US to ensure the health and safety of our employees, complementary workers, workplaces, customers, consumers, communities, and the patients we serve. GSK has made the decision to require all US employees to be fully vaccinated against COVID-19, where allowed by state or local law and where vaccine supply is readily available. The only exceptions to this requirement are employees who are approved for an accommodation for religious, medical or disability-related reasons. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage, UK - London - Brentford, USA - Pennsylvania - Philadelphia Posted Date: Oct Over the last 18 months, we've seen how critical the healthcare industry is to society.If you would love to be part of making a difference,thenconsider joining us and applying for our Data Science Engineer II opportunity. You would be supportingnew GSK's purpose of uniting science, talent, and technology to get ahead of disease together. Our purpose is to develop tools, models, and processes to enable scientists to create preventative products such as vaccines or discover ways to treat illnesses such as therapeutics. We also support the equally important development of robust and efficient manufacturing of such products. Examples of specific areas of interest includedelivering end-to-end biomarker data pipelines; deliveringintegrateddata analytics environmentsto aid scientists in target identificationor models that drive more efficient cell line development. We area teamwith an ambition to beat the cutting edge of thepharmaceutical industry datascience and engineering. So,as anR&Ddepartment with a passion forusingdata to solve problemsand improve patient care, why wouldn't you consider working forus? Our organization is built on the principles of ownership, accountability, continuous development, and collaboration. Our leaders are committed to your career and development from day one. You will be working in a stimulating and supportive environment as part of a dynamic, growing community. You will have access to our Learning & Development resources, comprising a blend of on-the-job learning with targeted coaching, peer-to-peer mentoring, expert-led workshops, and a network of learning providers. The Team? The Data Science and Visualisation team (DSV) is an experienced team of data scientists and software engineers that focuses on the creation and deployment of leading-edge, reusable data science microservices and products. This might be the creation of genetic and genomic datascience products, changing the decisioncycle time for our biopharmaceuticals, or accelerating assets in clinical trials through smart site selection and forecasting. The ease of use and interpretation in the hands of the scientist is very important to us, hence the emphasis upon not just the data science but the visualization. The Role? The Data Science Engineer II is a hands-on position where you will be empowered to be creative, ambitious, and bold. Given a defined business or scientific objective, you will apply machine learning to the relevant data to iterate over model choices metrics to produce high-quality predictive models. The data science engineer will accomplish this by writing fantastic code along with the proper unit, functional, and integration tests for code to ensure quality. Key Deliverables As a Data Science Engineer II, you will: Evaluate and explore the data for the intended task and will be able to design and create models that perform to requirements and specifications. Ship ML models into production and understand how a model's requirements or the available data might change over time and design an ML product that will be able to cope with these requirements. Evaluate other options if the machine learning problem fails, the engineer should be able to try other architecture features, featurization techniques, cost functions, etc., in a way that will reliably improve the performance metrics for that model. Compare results from various methodologies and recommend the best techniques to stakeholders and be able to defend and explain the rationale to stakeholders. Connect and collaborate with subject matter experts in biology, chemistry, and medicine and offer, challenge, and solicit advice via peer review to enhance quality, share best practices and embed innovation. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: BS Degree (Mathematics or Engineering, Data Science/ML, Statistics, Computer Science, Physics, Computational Biology, Computational Chemistry,) with 4+ years of experience (or MS with 2+ years of experience, or PhD) in the biotech/pharmaceutical/healthcare/diagnostics/health insurance space Experience designing, developing, and implementing analytical solutions using a variety of commercial and open-source tools (deep experience using common tools like Python and/or R would be required) Experience comparing results from various methodologies then explaining the technical concepts at all levels in the organization, including senior managers/stakeholders Experience creating algorithms to extract information from large, multiparametric data sets and deploy them into production to realize significant value Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience in the development of interpretable machine learning to production using a programming language such as Python or R Experience in manipulating data in a big data environment - experience with hive, SQL, and the like would be helpful Experience in the biotech/pharmaceutical/healthcare/diagnostics/health insurance space Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning. Sustaining energy and well-being Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness LI-GSK If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1- (US Toll Free) or +1 (outside US). GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. At GSK, the health and safety of our employees are of paramount importance. As a science-led healthcare company on a mission to get ahead of disease together, we believe that supporting vaccination against COVID-19 is the single best thing we can do in the US to ensure the health and safety of our employees, complementary workers, workplaces, customers, consumers, communities, and the patients we serve. GSK has made the decision to require all US employees to be fully vaccinated against COVID-19, where allowed by state or local law and where vaccine supply is readily available. The only exceptions to this requirement are employees who are approved for an accommodation for religious, medical or disability-related reasons. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
IISS
London, UK
The International Institute for Strategic Studies (IISS) is the world’s leading independent authority on global security issues, providing information and analysis on a wide range of international security and geopolitical risk questions. The Institute conducts research on the problems of conflict, however caused, that may have a significant military dimension, and analyses international trends, including economic developments, which may have strategic implications. The Institute convenes high-level conferences and events that bring together government officials, recognised experts, opinion-formers and business leaders at the most senior level, in order to enhance diplomatic exchanges and to enable the crafting of more effective policy on strategic matters. The IISS is headquartered in London and has international offices in Bahrain, Berlin, Singapore and Washington DC.
Summary of role:
Based in London, the IISS is looking for an experienced data scientist to work with our globally recognized subject matter experts, to design a program of data science analysis on diverse global topics such as geopolitical trends, defense economics and conflict analysis. Our strategic long-term goal is to build a data science unit, using a range of data science techniques that will enhance our current research programs and publications using exciting data visualizations for politicians, academia, industry executives and the public to assist in understanding and visualizing trends, initiating public discussion and to inform our core external stakeholders.
In doing so, we will focus on the geo-political and geo-economic data sets, supplemented by our own research portfolio. We want to explore defense spending data, the interaction between strategic political changes and economic trends, and other complex issues covered by our wide range of research programs.
We are looking for a data scientist who wants to use analytical skills to contribute to the current political and social challenges in the global strategic studies arena. This position will work with various research experts at the IISS to develop relevant questions, identify data , carry out analysis and communicate results in our publications. Your task is also to build the business case to establish data science as a new capability within our organization and to set up and manage your own data science unit working closely with Research and Technology.
The core tasks and responsibilities include:
Development of data and statistical models in cooperation with the technical experts of the IISS.
Assessing which problems can be cost effectively solved by the appliance of data science techniques or machine learning.
Collection, structuring and analysis of large amounts of
Visualization and description of analysis results for different publication formats.
Establishment of a network of methodology freelancers, data suppliers and other service providers or cooperation partners.
Strategic development of the data science capability within the IISS.
The successful candidate will:
Hold a degree in a relevant field such as mathematics, statistics, computer science or business informatics.
Have a background in social sciences with an emphasis on strong quantitative skills.
Have strong technical skills and the ability to turn analytical know-how into code and models using tools such as R or languages such as Python.
Have a proven track record in using data science toolkits (e.g. Python/Pandas/Scikit-learn, R, TensorFlow) as well as adding data sets from any sources (e.g. SQL databases, REST APIs or even PDFs) extract and further process.
Have the ability to analyse complex relationships and enjoy solving challenging problems.
Have the ability to visualize and explain work results in a way that is understandable for laypeople.
Have a strong interest in geo-political and defense issues and their influence on politics, economy, and society.
Application
To apply please go on our careers page on our website and send your CV and cover letter highlighting your experience and the skills you will bring to the IISS by pressing the blue 'applynow’ button on the left-hand side of the screen on the Data Science Lead job ad.
Only applications received via IISS website will be considered for this position.
This position is a fixed-term contract for 12 months with potential for renewal/permanent employment. The salary offered will be competitive and accompanied by a full benefits package.
Candidates must have eligibility to work in the UK. The IISS regrets that it cannot sponsor visas for this position. Due to the volume of expected applications, only those selected for interview will be contacted.
The IISS is an equal opportunities employer.
The International Institute for Strategic Studies (IISS) is the world’s leading independent authority on global security issues, providing information and analysis on a wide range of international security and geopolitical risk questions. The Institute conducts research on the problems of conflict, however caused, that may have a significant military dimension, and analyses international trends, including economic developments, which may have strategic implications. The Institute convenes high-level conferences and events that bring together government officials, recognised experts, opinion-formers and business leaders at the most senior level, in order to enhance diplomatic exchanges and to enable the crafting of more effective policy on strategic matters. The IISS is headquartered in London and has international offices in Bahrain, Berlin, Singapore and Washington DC.
Summary of role:
Based in London, the IISS is looking for an experienced data scientist to work with our globally recognized subject matter experts, to design a program of data science analysis on diverse global topics such as geopolitical trends, defense economics and conflict analysis. Our strategic long-term goal is to build a data science unit, using a range of data science techniques that will enhance our current research programs and publications using exciting data visualizations for politicians, academia, industry executives and the public to assist in understanding and visualizing trends, initiating public discussion and to inform our core external stakeholders.
In doing so, we will focus on the geo-political and geo-economic data sets, supplemented by our own research portfolio. We want to explore defense spending data, the interaction between strategic political changes and economic trends, and other complex issues covered by our wide range of research programs.
We are looking for a data scientist who wants to use analytical skills to contribute to the current political and social challenges in the global strategic studies arena. This position will work with various research experts at the IISS to develop relevant questions, identify data , carry out analysis and communicate results in our publications. Your task is also to build the business case to establish data science as a new capability within our organization and to set up and manage your own data science unit working closely with Research and Technology.
The core tasks and responsibilities include:
Development of data and statistical models in cooperation with the technical experts of the IISS.
Assessing which problems can be cost effectively solved by the appliance of data science techniques or machine learning.
Collection, structuring and analysis of large amounts of
Visualization and description of analysis results for different publication formats.
Establishment of a network of methodology freelancers, data suppliers and other service providers or cooperation partners.
Strategic development of the data science capability within the IISS.
The successful candidate will:
Hold a degree in a relevant field such as mathematics, statistics, computer science or business informatics.
Have a background in social sciences with an emphasis on strong quantitative skills.
Have strong technical skills and the ability to turn analytical know-how into code and models using tools such as R or languages such as Python.
Have a proven track record in using data science toolkits (e.g. Python/Pandas/Scikit-learn, R, TensorFlow) as well as adding data sets from any sources (e.g. SQL databases, REST APIs or even PDFs) extract and further process.
Have the ability to analyse complex relationships and enjoy solving challenging problems.
Have the ability to visualize and explain work results in a way that is understandable for laypeople.
Have a strong interest in geo-political and defense issues and their influence on politics, economy, and society.
Application
To apply please go on our careers page on our website and send your CV and cover letter highlighting your experience and the skills you will bring to the IISS by pressing the blue 'applynow’ button on the left-hand side of the screen on the Data Science Lead job ad.
Only applications received via IISS website will be considered for this position.
This position is a fixed-term contract for 12 months with potential for renewal/permanent employment. The salary offered will be competitive and accompanied by a full benefits package.
Candidates must have eligibility to work in the UK. The IISS regrets that it cannot sponsor visas for this position. Due to the volume of expected applications, only those selected for interview will be contacted.
The IISS is an equal opportunities employer.
