model validation and implementation Evaluate and prioritize analytical initiatives based on business impact, feasibility, and strategic fit Stay at the forefront of developments in quantitative finance, machine learning, and statisticalmodelling Foster a culture of intellectual rigor, analytical excellence, and continuous improvement Model Development & Validation Ensure robust development and validation of quantitative models across all business functions Oversee … in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams of highly skilled quantitative professionals Demonstrated expertise in statisticalmodelling and data analysis across multiple domains Technical Skills Deep understanding of statistical methods, econometric techniques, and their application to financial analysis Proficiency in programming languages commonly More ❯
model validation and implementation Evaluate and prioritize analytical initiatives based on business impact, feasibility, and strategic fit Stay at the forefront of developments in quantitative finance, machine learning, and statisticalmodelling Foster a culture of intellectual rigor, analytical excellence, and continuous improvement Model Development & Validation Ensure robust development and validation of quantitative models across all business functions Oversee … in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams of highly skilled quantitative professionals Demonstrated expertise in statisticalmodelling and data analysis across multiple domains Technical Skills Deep understanding of statistical methods, econometric techniques, and their application to financial analysis Proficiency in programming languages commonly More ❯
model validation and implementation Evaluate and prioritize analytical initiatives based on business impact, feasibility, and strategic fit Stay at the forefront of developments in quantitative finance, machine learning, and statisticalmodelling Foster a culture of intellectual rigor, analytical excellence, and continuous improvement Model Development & Validation Ensure robust development and validation of quantitative models across all business functions Oversee … in quantitative analysis, research, or related fields Proven track record of developing and implementing analytical models and frameworks Experience managing teams of highly skilled quantitative professionals Demonstrated expertise in statisticalmodelling and data analysis across multiple domains Technical Skills Deep understanding of statistical methods, econometric techniques, and their application to financial analysis Proficiency in programming languages commonly More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Hays Specialist Recruitment Limited
will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statisticalmodelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯
will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statisticalmodelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯
will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statisticalmodelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hays
will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statisticalmodelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯
East London, London, United Kingdom Hybrid / WFH Options
Hays
will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statisticalmodelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯
Central London / West End, London, United Kingdom Hybrid / WFH Options
Hays
will be joining an expanding consultancy focused on supporting innovation in the pharmaceutical and biotech industry. Its specialist research division is dedicated to solving complex biological problems through advanced statisticalmodelling and ML/AI. They have an experienced team with a strong track record and are looking for an extra person to join them to work on … statistical method development and application to real-world drug discovery & development problems. Your new role As a Senior Data Scientist, your work will centre on methodological innovation. You will: Design and implement novel statistical approaches to interrogate large-scale genomic datasets Develop new models to quantify genetic contributions to disease and complex traits Evaluate and refine existing analytical … frameworks to improve accuracy and interpretability Ensure scientific rigour and reproducibility in all method development Translate complex statistical outputs into meaningful insights for technical and non-technical audiences Collaborate with engineering teams to embed new methods into scalable data pipelines Contribute to peer-reviewed publications that showcase methodological advancements Stay ahead of emerging techniques in statistical genetics and More ❯
which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statisticalmodelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯
which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statisticalmodelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯
ensuring data integrity, completeness, and real-time availability. You will establish robust monitoring and alerting mechanisms to proactively surface issues and maintain seamless operations at scale. Harness advanced analytics, statistical modeling, and AI/ML tools to extract transformative insights. Your strategic analyses will uncover root causes, influence high-stakes decisions, and inform the executive roadmap with clarity and More ❯
the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers More ❯
the opportunity of working in a growing team, and who loves sport. Responsibilities: Lead data science workstreams on client projects, managing analysts and collaborating with consultants Develop and deploy statistical models and core IP Build reusable tools to streamline analysis and visualisation Communicate insights clearly to all audiences Mentor junior team members and support capability growth Work with engineers More ❯
applied research to production is a must - Excellent problem solving and data analysis skills and a good grasp of applied statistics. Particularly, expertise in developing or applying predictive analytics, statisticalmodelling, data mining, or machine learning algorithms, especially at scale - Strong people leadership skills to influence others, with the ability to tech-lead, understand team dynamics, retain, attract More ❯
applied research to production is a must Excellent problem solving and data analysis skills and a good grasp of applied statistics. Particularly, expertise in developing or applying predictive analytics, statisticalmodelling, data mining, or machine learning algorithms, especially at scale Strong people leadership skills to influence others, with the ability to tech-lead, understand team dynamics, retain, attract More ❯
channel/publisher efficacy Exposure to/familiarity with with BI/data concepts and experience building out self-service marketing data solutions Experience in SQL as well as statistical modeling platforms (Python, R, etc. ) The hiring range for this position in New York, NY & Seattle, WA is $145,500 to $195,000 per year. Santa Monica, CA is More ❯
ideally in a government, defence, or security environment. Strong programming skills in Python or R, including experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Solid understanding of statisticalmodelling, machine learning, and data mining techniques. Experience with SQL and working with large-scale databases. Familiarity with data visualisation tools (e.g., Power BI, Tableau, or Matplotlib). More ❯
integration with language models. Technical Proficiency : Advanced proficiency in Python and experience with data manipulation and analysis libraries (Pandas, NumPy, SciPy), along with strong knowledge of machine learning algorithms, statisticalmodelling, and data mining techniques. Commercial Acumen : Deep understanding of product dynamics, market needs, and commercial considerations essential for conceptualising and executing impactful data-driven solutions. Leadership & Initiative More ❯
gameplay analysis, computer vision or video stream analysis. Proven experience with machine learning frameworks such as Python, NumPy, TensorFlow, or PyTorch. Strong understanding of data analysis, signal processing, and statistical modeling. Experience with video processing and understanding of game streaming technologies is a plus. Problem-Solving Skills: Excellent analytical and problem-solving abilities. Communication Skills: Strong ability to communicate More ❯
are looking for you. Job Description If you are passionate, curious and ready to make an impact, we are looking for you. Quantitative Research (QR) is an expert quantitative modelling group in J.P. Morgan, as well as a leader in financial engineering, data analytics, statisticalmodelling and portfolio management. As a global team, QR partners with traders … to provide analytical support to the trading desks and other stakeholders. Job Summary As a Vice President or Executive Director in Quantitative Research, Energy team, you will be providing modelling solutions to the Commodities business. Yo will get a chance to utilize your extensive knowledge of quantitative methods, including valuation of derivatives and risk modelling, as well as More ❯
that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statisticalmodelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference … and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network decisions More ❯
that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statisticalmodelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Experience with A/B testing and causal inference … and a collaborative mindset Example Projects You Might Work On Optimisation models to increase manufacturing throughput Predictive models for asset maintenance and downtime reduction Customer churn prediction and retention modelling Sales optimisation through next-best-action models Geospatial analysis to inform store or facility network decisions More ❯
Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statisticalmodelling and high levels of automation. 📍 Location: Central London … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯
Hiring: Quantitative Analysts – Sports Modelling | London | Up to £130k + Bonus 🚨 A high-performing, close-knit team of researchers and software developers is looking to add Mid-Level and Senior Quantitative Analysts to their growing group. This firm trades on global sports markets using cutting-edge statisticalmodelling and high levels of automation. 📍 Location: Central London … flexibility) 💰 Salary: Up to £130,000 + 20% Bi-Annual bonus + benefits What you'll do: Build predictive models for sports outcomes (e.g. football, tennis, cricket) Apply rigorous statistical techniques to large real-world datasets Contribute directly to trading strategies in a high-impact, low-bureaucracy setting What we're looking for: MSc/PhD in a quantitative … Maths, Stats, Physics, Computer Science) Strong experience working with real-world data Proficiency in Python (mandatory); R, MATLAB, and C# are a plus Deep understanding of probability, statistics, and modelling Bonus: Genuine interest or background in sports What’s on offer: Flat-structured, non-corporate team culture Exposure to live trading environments and real-time analytics Private healthcare, pension More ❯
