1 to 25 of 92 Statistics Jobs in London

effectively through compelling visualizations and presentations. What We're Looking For: To thrive in this role, you should have: A degree in Computer Science, Statistics, Mathematics, or a related field (Master's or Ph.D. preferred). Proficiency in programming languages, particularly Python, R, or SQL. Experience with machine learning techniques ...

data science, machine learning, and AI development across structured and unstructured data. Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred) Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment). Expertise in deep learning ...

visualization tools such as Tableau, Power BI, or AI-augmented BI tools (e.g., Tableau Pulse, Power BI Copilot). Intermediate to advanced understanding of statistics and practical machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ...

roles. Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data). Experience applying intermediate statistics to business problems. Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis. Experience with data visualization tools such as Tableau ...

integration of AI solutions.* Experience working across multiple operating systems (Linux, Windows, iOS, Android).* PhD or equivalent experience in Data Science, Computer Science, Statistics or a related field Please send me a copy of your CV if you're interested ...

ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. You should be comfortable with everything from classical statistics and regression to deep learning and NLP. Data Engineering: Proficiency in SQL and experience working with modern data stacks (e.g., Snowflake, Spark, or cloud-native ...

hybrid role with the expectation of working 2 days pw in the London office. Skills and experience required: Bachelor's degree in data science, Statistics, Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost ...

Pensions insurance (or broader insurance domains) is highly preferred. Ideal Candidate Profile Strong experience in analytics with advanced problem‐solving skills. Deep understanding of statistics, relational modelling, and dimensional modelling. Excellent communication skills for stakeholder engagement. Background in BI or visualisation tools is beneficial. Degree in Data Science, Mathematics, Analytics ...

solution integration. Operating Systems : Experience working across Linux, Windows, iOS, and Android environments. Advanced Education : PhD or equivalent experience in Data Science, Computer Science, Statistics, or a related field is a plus. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth ...

delivery needs, however candidates with longer notice period will also be considered. Qualifications Strong Analytical Skills and expertise in Data Analytics Proficiency in Statistics and Data Modeling (Relational, Dimensional) Excellent Communication skills to effectively convey insights and strategies Experience with data visualization tools and business intelligence platforms is a plus ...

Qualifications & Skills for the Senior Data Scientist - Net Revenue Management/Revenue Growth Management MS or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a similar quantitative discipline is highly desirable. Industry experience ideally in CPG/Retail in developing machine learning models and building ...

intelligent conversational agents. Dive into the world of traditional NLP techniques and stay ahead of the curve. Apply a strong understanding of fundamental concepts-statistics, linear algebra, calculus, regression, classification, and time series analysis – to extract valuable insights from data. Be the driving force behind our data visualisation efforts – whether ...

tools, techniques, and industry trends Proactively raising risks, issues, or concerns with appropriate stakeholders Personal Profile Qualifications & Experience Essential Degree in Computer Science, Mathematics, Statistics, or a related discipline Strong proficiency in Python or R for data analysis Experience working with SQL and relational databases Proven experience building and deploying ...

investigate behaviour, changes, or anomalies What You Bring Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar Strong grounding in statistics, probability, and time-series analysis Comfortable working in Python and analysing data programmatically Clear communicator — able to explain analysis simply and honestly Curious about ...

Physics, Engineering, or similar Excellent Python skills and ML foundations (e.g. pandas, NumPy, scikit-learn; strong coding practices matter) Strong grasp of model evaluation, statistics, and experimentation Confident working with data at scale using SQL (and a practical approach to messy data) Curiosity, speed, and pride in quality—someone ...

innovative solutions that drive business value. Remaining technically very hands on whilst mentoring Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment. ...

Data Science across internships and/or work experience Strong Python skills for analysis (pandas/NumPy, clean coding practices) Solid understanding of statistics, experimentation/evaluation, and working with messy real-world data Confident using SQL to query and combine datasets Clear communicator who can turn analysis into actionable ...

Strong skills in Python and SQL (R a bonus). Experience with machine learning techniques (clustering, regression, NLP, ensemble methods). Good grounding in statistics (hypothesis testing, regression, experimental design basics). Ability to distil complex technical results into simple, engaging narratives. Curiosity about human behaviour and decision-making. Experience ...

Delivery of next-generation investment management capabilities. Qualifications Required Bachelor’s degree in Finance, Economics, or a quantitative discipline (e.g., Computer Science, Applied Mathematics, Statistics). Proven leadership experience spanning investment and technology teams. Proficiency in Python or R; hands-on familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI ...

peer knowledge exchange within the global data science community. Qualifications Your skills and qualifications: Education: Masters degree or higher in Computer Science, Mathematics, Statistics, Physics, or a related quantitative field. Strategic Delivery: Proven experience working in an empirical research environment and partnering with Product teams to deliver and scale validated ...

deadlines with support from the team, taking on greater ownership as skills develop Skills and Experience Quantitative Foundation: A strong academic background in Mathematics, Statistics, Computer Science, or a related quantitative field, with a deep understanding of statistical significance, hypothesis testing, and experimental design (A/B testing). Core ...

data science methodologies and technologies to benefit team objectives. What We’re Looking For: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment ...

including libraries such as Pandas, NumPy and scikit-learn. Experience working with deep learning frameworks such as PyTorch or TensorFlow. A solid grounding in statistics and probability, with strong mathematical foundations (calculus and linear algebra highly advantageous). Experience working across the full data science project lifecycle. A pragmatic, engineering ...

years of hands-on experience developing and deploying ML and/or Gen AI solutions in production. Deep expertise in quantitative methods, probability, statistics, and numerical computing. Proven MLOps proficiency—model deployment, versioning, lifecycle management, and data drift monitoring/correction. Experience working in a highly regulated environment, with ...

Azure/GCP) Analytical curiosity, attention to detail, and ability to question data quality Clear communication skills and confidence presenting findings Nice-to-haves: Statistics and experimentation (A/B, multivariate) Segmentation/modelling experience Exposure to marketing orchestration/ad-tech tools (Salesforce, Braze, Adobe, DSPs) Light data engineering ...