24 of 24 Statistics Jobs in the City of London

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 ...

experience in a quantitative analytics, quantitative research, or derivatives-focused role. MSc, PhD, or equivalent degree in a quantitative discipline such as Mathematics, Physics, Statistics, Financial Engineering, Computer Science, or a related field. Strong understanding of derivatives markets, including futures and options pricing, volatility surface construction, Greeks, and curve modelling ...

knowledge sharing within the team. What we’re looking for A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience. Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods) Experience in applying ...

model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences. Requirements Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area. Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google ...

your career within an AI-led organisation. What They’re Looking For Degree in a quantitative or technical field (e.g. Computer Science, AI, Mathematics, Statistics, Physics, Engineering) Strong Python skills with experience building machine learning models and scalable algorithms Proven experience working with large, complex datasets to optimise performance ...

analytics solutions rather than reporting alone Strong stakeholder management and communication skills Experience explaining insights to non-technical audiences Understanding of statistics, predictive analytics or modelling techniques Python experience would be highly beneficial Experience working within complex operational environments would be advantageous A pragmatic approach with the ability to work ...

Matplotlib. Experience developing machine learning models for prediction, optimisation or classification. Strong SQL skills and experience working with relational databases. Sound understanding of statistics, predictive modelling and machine learning techniques. Experience working with geospatial datasets using GeoPandas, QGIS or similar technologies. Ability to work with large and complex datasets ...

standard for technical execution, design thinking, and engineering rigor You’ll need to have: A bachelor’s degree or above in Statistics, Computer Science, Quantitative Finance or other STEM related field or degree‐equivalent qualifications 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows ...

marketing analytics best practices. Skills, Experience and Attributes We are looking for candidates with: A Bachelor's or postgraduate degree in Business, Economics, Statistics, Mathematics, Engineering, Finance or another numerically focused discipline. 3–5 years of experience in Digital Marketing Analytics, Marketing Analytics, Digital Analytics or Customer Analytics. Proven experience ...

segmentation Take data governance and ethical AI seriously, not as an afterthought Strong candidates will come from a background in data science or applied statistics, with hands-on ML experience and the Python/SQL depth to match. Experience with Azure tooling is useful; the ability to think clearly about ...

Communicate findings clearly, turning complex analysis into actionable insights for technical and non-technical audiences Qualifications Skills we're looking for: Strong grounding in statistics and quantitative methods, supported by relevant academic or professional experience Hands-on experience applying experimental design and causal inference techniques to real-world data Understanding ...

tools. The Candidate Key attributes of a suitable Data Scientist or Senior Data Scientist include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

them on deliverable quality and accuracy. What experience you need: Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering). Solid experience in data analysis, machine learning, and AI development in a UK Credit Risk environment. Hands‐on experience with cloud‐based … Passion for data science, data mining, machine learning and experience with big data architectures and methods. A Master's degree in a quantitative field (Statistics, Mathematics, Economics). #J-18808-Ljbffr ...

including scorecards or predictive models Strong programming skills in Python and SQL with experience working in cloud environments such as AWS Solid grounding in statistics and machine learning Experience working with large, complex datasets and delivering business insights Strong communication skills with the ability to influence stakeholders Experience with model ...

Candidate Key attributes of a suitable AI Engineer or Senior AI Engineer include: Strong Data Science/MLE Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such ...

NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience ...

Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - A solid grounding in statistics, applied mathematics and scientific analysis techniques - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into ...

solutions. Experience collaborating with cross-functional teams including data engineers, software developers, business stakeholders, and UX teams. Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or equivalent practical experience. Desirable Skills & Experience Experience delivering AI-driven sales analytics and commercial insight solutions. Experience translating business requirements into … event-driven architectures. Knowledge of vector databases, knowledge graphs, and advanced data modelling approaches. Master's degree or PhD in Computer Science, Engineering, Statistics, Data Science, or a related quantitative discipline. Rewards & Benefits TCS is consistently voted as a Top Employer in the UK and globally. Our competitive salary packages ...

guide junior team members, fostering professional development and collaboration across regional finance teams. What we are looking for Bachelors degree in Economics, Finance, Statistics, Marketing, or a related field (Masters degree preferred) Multiple years of experience in corporate, advisory, or structured debt financing roles, ideally within data centers, digital infrastructure ...

challenge Your Experience Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer or equivalent Strong grounding in applied mathematics, statistics and scientific practice Excellent Python skills for building, evaluating and deploying machine learning models Experience evaluating models through quantitative evidence and structured experimentation Strong software ...

Developed high availability distributed systems with tight latency constraints An understanding of computer networking, the related technologies, and their tradeoffs Practical knowledge of fundamental statistics and numerical recipes Experience writing software for the trading domain Strong verbal and written communication skills Strong internal motivation and a continual desire to learn ...

Data Scientist: Strong experience in data science using Python with libraries such as Pandas NumPy scikit-learn or similar Solid grounding in statistics probability machine learning techniques Proven experience working within cloud environments such as AWS Azure or GCP Experience working with SQL large analytical datasets Ability to clearly communicate … complex analytical concepts to a broad audience Strong problem-solving skills with a delivery-focused mindset Relevant academic qualifications in Data Science Statistics Mathematics Computer Science or a related quantitative discipline Desirable Skills for the Data Scientist: Experience with deep learning frameworks advanced modelling techniques Familiarity with MLOps concepts model ...

work within the multidisciplinary Clinical Evidence team, which is a mix of medical and technical personnel, on the following workstreams: Statistical analysis Perform descriptive statistics for value dossiers, papers, presentations, proposals, and marketing materials Calculate performance (e.g., AUC, sensitivity, specificity) and clinical utility measures Handle study power and sample-size … excited to work in a healthcare setting and who has strong communication skills with both technical and clinical colleagues/collaborators. Knowledge of medical statistics : you have a grasp of statistical techniques and terminology, and are familiar with sensitivity/specificity, ROC and AUC analysis, power calculations, etc. Written ...

both their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports trading would be beneficial. This is an office-based role and as well as very competitive … environment. Skills required: Proficient in several of the following: Python, C#, C++, Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science An interest in sports data/trading If you feel ...