1 to 25 of 39 Statistics Jobs in Cambridge

initiatives with business objectives. Communicate complex findings and insights to non-technical stakeholders in a clear and concise manner. Qualifications Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in digital ecommerce data science, with a focus on GA4, Google BigQuery, SQL, and statistical analysis. Strong proficiency in data visualization tools More ❯

of machine learning/statistical modeling data analysis tools and techniques experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or More ❯

of various initiatives and identifying untapped opportunities. We're excited if you have: Extensive experience in data science and analytics, with a strong foundation in a quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or other programming More ❯

Agile methodologies Self-motivated, enthusiastic, and organised, with excellent attention to detail Proactive and delivers to timescales Desirable Attention to detail in creating documentation The ability to conduct descriptive statistics, Bayesian statistics, Inferential statistics, Probability distributions and theory, dimensionality reduction and sampling etc Strong numerical and statistical skills Additional Requirements Essential Willing to be flexible in working practices Improvement mindset More ❯

problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or More ❯

will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works … intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising BASIC QUALIFICATIONS - A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional … in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. - Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication More ❯

and consultation for internal teams and external clients. Mentor junior engineers and contribute to team development and onboarding. Required Qualifications Education: Master's degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field. Several years of experience developing machine learning algorithms and working with large-scale, real-world datasets. Programming: Proficiency in Python, experience with Java, C++ More ❯

research and the UK or EU public-funding landscape. Previous work on classified or highly sensitive projects. Qualifications Post-graduate degree (MSc, MEng, PhD or equivalent) in computer science, statistics, economics, mathematics, engineering or a related quantitative field. Pension - 8% Employer contribution; 33 days holiday allowance, including the Bank Holidays; Annual salary review; BUPA medical insurance; Generous company sick pay More ❯

patient stratification, and disease insights. Effectively communicate highly technical methods and results to diverse audiences and partners, enabling informed decision-making. Qualifications PhD degree in a quantitative field like statistics, computer science, artificial intelligence, applied mathematics, electrical engineering, or a related area. Equivalent experience will also be considered. Demonstrated experience in driving research and applying Computer Vision techniques, including Transformers More ❯

algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data structures and algorithms. A penchant for finding outstanding solutions to very difficult problems. Excellent communication skills and collaboration capabilities. Ability to work in a diverse/multi-cultural environment. More ❯

SUMMARY This position is responsible for leading and managing a small team of Computational Scientists. The team supports pharmaceutical development programs, clients, and academic/regulatory collaborations through modelling, statistics, data science, and software development activities. JOB DETAILS/RESPONSIBILITIES Job descriptions reflect approximately 85% of the responsibilities and are not exhaustive. Other activities within reasonable scope of the role … and internal research and development projects in the field of computational pharmaceutics. Act as the primary point of contact for problem solving related to computational pharmaceutics (including data analysis, statistics, and physiologically based pharmacokinetic modelling). Author and review computational reports for scientific and technical accuracy, and review reports from other teams within your area of expertise. Present results to More ❯

benchmarks, to rigorously test model performance and reliability. Integrating ML solutions into production environments. Qualifications: Master’s or PhD degree in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, Physics, Mathematics) or equivalent industry experience. Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Experience with distributed computing platforms (AWS, GCP, Azure, or on-prem clusters). More ❯

and resilience to reverse disease, injury, and age-related disabilities. Minimum Qualifications - Masters or Ph.D. degree in a quantitative/computational field such as computer science, artificial intelligence, mathematics, statistics, physics, or computational biology, or equivalent experience; Experience in developing machine learning models; Very strong programming skills, including experience with Python and deep learning libraries such as PyTorch or JAX More ❯

and non technical stakeholders. What You’ll Bring PhD is highly preferred! Strong experience building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Comfort working in a collaborative, cross-functional environment. Please note, this role cannot offer sponsorship at this stage #J-18808-Ljbffr More ❯

with significant experience also considered). Extensive experience in designing, training, debugging, and evaluating machine learning models using frameworks like PyTorch, TensorFlow, or JAX. Strong foundation in mathematics and statistics, including linear algebra, probability, and optimization. Excellent scientific writing and communication skills. Preferred Qualifications Experience in computational biology, genomics, or drug discovery. Familiarity with RNA biology, structural biology, or systems More ❯

What You'll Bring MBA with bachelor's (and often graduate) degrees with a strong academic record in business, economics, marketing, psychology, physical or life sciences, engineering, applied math, statistics, or related fields. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD More ❯

bioinformatics, biosignatures, brain biology, and mechanism, drawing upon a combination of internal and external human data resources. Partner with Clinical Development, Global Regulatory Affairs, Data Science, Patient Reported Outcomes, Statistics and other core functions in Precision Measures (including Biomarkers & Imaging) to contribute to holistic measurement plans (across molecular, imaging, digital, clinical and other measures) for our compounds in development. Develop More ❯

paths to be promoted into consultant positions. This role is very collaborative in nature as well as technical, requiring both people skills (communications and presentations) as well as mathematical (statistics, quantitative analyses). Further, due to the wide range of customers, analysts will be required to travel globally and could be 1-2 weeks per month. Requirements: Excellent academic backgrounds … Maths or Physics from a top ranked university. Applicants should also hold an advanced degree (Master’s or PhD) in a highly numerate subject. Extensive numerical modelling skills using statistics or quantitative analysis. Specific experience with financial mathematics is not needed but any exposure would be of interest. Good communication skills. Bilingual speakers (Spanish, German, Arabic or Portuguese) would be … considered by the company). Further, candidates do need full rights to work in the UK. On offer is an excellent compensation package. Keywords: Consultancy, Quant Analysis, Maths Modelling, Statistics, Inference, Worldwide Travel Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the More ❯

Java, C++, Python, or related languages Experience with neural deep learning methods and machine learning Experience with Large Language Models (LLMs) or multimodal systems PREFERRED QUALIFICATIONS PhD in Mathematics, Statistics, Engineering, Machine Learning, Computer Science, or related discipline 4+ years of industry or postdoctoral experience in machine learning Experience with patents or publications at top-tier peer-reviewed conferences or More ❯

manage relationships with key stakeholders around the business Manage, mentor and coach more junior members of the team About you: Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning More ❯

manage relationships with key stakeholders around the business Manage, mentor and coach more junior members of the team About you: Highly numerate with a graduate or postgraduate degree in Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning More ❯

commercial speech products or government speech projects) - Experience with programming languages such as Python, Java, C++ PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience in patents or publications at top-tier peer-reviewed conferences or journals Amazon is an equal opportunities employer. We believe passionately that employing a More ❯

Foster strong partnerships with the Data Science & Digital Health team, collaborating on cross-functional projects to drive scientific innovation. QUALIFICATIONS Required: PhD in Physics, Neuroscience, Applied Mathematics, Computer Science, Statistics, Biomedical Informatics, or a related field with a focus on multi-modal neuroimaging and computational neuroscience. At least 2 years of progressive experience with prior application in life sciences Extensive More ❯

conferences and in leading publications This project is in collaboration with Prof. Andrew Gelman at Columbia University, and Dr Stanley Lazic at AstraZeneca. Education and Experience Required: - PhD in Statistics, Computer Science, Data Science, or similar - Excellent knowledge of either R or Python (ideally both) - Knowledge of Bayesian statistics - Knowledge of modern Bayesian software such as Stan and PyMC3 - Knowledge More ❯

client in Cambridge who have had some huge success recently and needs to scale their Data Science function to keep up with demand. This is very much your traditional statistics-focused Data Science position. I’m looking to speak to people with around 2+ years of commercial Data Science experience, heavily focused on probability and statistics. You’ll be joining … important). Familiarity with pharma/health/medical datasets. Mixed effects models – ability to use matching techniques to create synthetic arms in clinical trials. BSc or MSc Mathematics (statistics focus). The office is located just five minutes from Cambridge train station, and you’ll only need to be on-site once a week (more if you wish), so More ❯