226 to 250 of 432 SQL Jobs in the City of London

to Pricing manager! 🎯 Criteria for the roles: - Lloyds of London Background - Good Academics - Exposure in building and deploying pricing models - High Level tech skills in Python/R/SQL If you believe you could be a fit, email abigayle.west@eamesconsulting.com for a confidential discussion. More ❯

work on cross-functional digital insight projects and really take ownership of customer journey analysis & optimisation YOUR SKILLS AND EXPERIENCE Digital Analytics experience – with GA4, Adobe Analytics or similar SQL or bigQuery experience THE BENEFITS £45,000-£55,000 (dependent on experience) HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the More ❯

work on cross-functional digital insight projects and really take ownership of customer journey analysis & optimisation YOUR SKILLS AND EXPERIENCE Digital Analytics experience – with GA4, Adobe Analytics or similar SQL or bigQuery experience THE BENEFITS £45,000-£55,000 (dependent on experience) HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the More ❯

or gaming/betting industries. Understanding of techniques such as Monte Carlo simulation, Bayesian modelling, GLMs, mixed effects models, time series forecasting etc Strong programming ability, preferably in Python SQL and relational databases The company offer some great benefits including a bonus, subsidised office meals, gym membership, and private medical insurance. If you are interested in this role, please apply More ❯

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. How to Apply: Please register your interest by sending your CV to Emily Burgess via More ❯

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. How to Apply: Please register your interest by sending your CV to Emily Burgess via More ❯

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. How to Apply: Please register your interest by sending your CV to Emily Burgess via More ❯

focusing on digital journey analysis, site performance, and optimisation opportunities across a diverse retail portfolio. You’ll need: Proven experience in digital/product analytics – not marketing-focused Strong SQL & BigQuery skills GA4 (or Adobe Analytics) expertise Comfort working with GTM/implementation teams Some A/B testing exposure You’ll report directly to the Analytics Lead, within a More ❯

broader strategic goals under a “One Team” approach. 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. **Please note that this role does not offer visa sponsorship** How to Apply: Please register More ❯

outbound flows. What We’re Looking For Proven data science experience, ideally focused on pricing and revenue optimisation. Proven leadership in growing and mentoring data teams. Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud. Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation. Hands-on experience with experimentation and causal More ❯

and data migration projects. Knowledge of insurance regulations and compliance requirements. Familiarity with Agile methodologies and tools such as Jira. Excellent communication, presentation, and interpersonal skills. Basic knowledge of SQL for data analysis and validation. Ability to work independently and as part of a cross-functional team More ❯

outbound flows. What We’re Looking For Proven data science experience, ideally focused on pricing and revenue optimisation. Proven leadership in growing and mentoring data teams. Strong Python and SQL skills, with experience in cloud platforms such as Google Cloud. Expertise in statistical techniques such as GLMs, classification, survival models, forecasting, and optimisation. Hands-on experience with experimentation and causal More ❯

data’s used across ops. WHAT THEY’RE LOOKING FOR: Strong experience in operations, supply chain or inventory analytics Confident designing and analysing A/B tests Tech stack: SQL, Python, Tableau (or similar) Clear communicator, able to translate analysis for stakeholders across the business Some experience managing or mentoring analysts Proactive mindset — commercially curious and not afraid to challenge More ❯

data’s used across ops. WHAT THEY’RE LOOKING FOR: Strong experience in operations, supply chain or inventory analytics Confident designing and analysing A/B tests Tech stack: SQL, Python, Tableau (or similar) Clear communicator, able to translate analysis for stakeholders across the business Some experience managing or mentoring analysts Proactive mindset — commercially curious and not afraid to challenge More ❯

into strategic action. You’ve worked hands-on with Econometric Modelling projects and are comfortable navigating marketing/media datasets to uncover trends and efficiencies. Solid coding experience in SQL, R or Python Demonstrable hands-on experience in Econometric Modelling A confident communicator and collaborative team player Analytical thinker with the ability to translate data into business impact 🎁 What’s More ❯

into strategic action. You’ve worked hands-on with Econometric Modelling projects and are comfortable navigating marketing/media datasets to uncover trends and efficiencies. Solid coding experience in SQL, R or Python Demonstrable hands-on experience in Econometric Modelling A confident communicator and collaborative team player Analytical thinker with the ability to translate data into business impact 🎁 What’s More ❯

data into strategic action. You’ve worked hands-on with MMM projects and are comfortable navigating marketing/media datasets to uncover trends and efficiencies. Solid coding experience in SQL, R or Python Strong understanding of marketing, media, and promotional strategies Demonstrable hands-on experience in Marketing Mix Modelling A confident communicator and collaborative team player Analytical thinker with the More ❯

data into strategic action. You’ve worked hands-on with MMM projects and are comfortable navigating marketing/media datasets to uncover trends and efficiencies. Solid coding experience in SQL, R or Python Strong understanding of marketing, media, and promotional strategies Demonstrable hands-on experience in Marketing Mix Modelling A confident communicator and collaborative team player Analytical thinker with the More ❯

Execute data-driven studies to validate or refute hypotheses for specific research ideas. Experience/Skills Required: Bachelor’s degree in a scientific field Strong programming skills, proficiency in SQL and Python required Experience in analysing complex data sets and research experience with alternative data is a plus Industry experience in fundamental analysis preferred Minimum 2 years of experience in More ❯

Execute data-driven studies to validate or refute hypotheses for specific research ideas. Experience/Skills Required: Bachelor’s degree in a scientific field Strong programming skills, proficiency in SQL and Python required Experience in analysing complex data sets and research experience with alternative data is a plus Industry experience in fundamental analysis preferred Minimum 2 years of experience in More ❯

a dynamic and values-driven environment? Want to play a crucial role in understanding and enhancing customer lifetime value. Essential Skills for the Perfect Candidate: Strong proficiency in Excel, SQL, and Google Analytics. Experience in analysing Customer Lifetime Value in a Direct-to-Consumer business. Exceptional skills in presenting complex data and building relationships across departments. In this Role, You More ❯

Experience Required: 4-7 years of experience in operations, onboarding, or a related role within the hedge fund, asset management, or financial services industry. Proficiency in tools like Excel, SQL, and other relevant financial and operational software. Experience with OMS/EMS systems is a plus Strong interpersonal and communication skills, with the ability to collaborate across diverse teams and More ❯

or behavioural data, ideally in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences More ❯

years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience working with transactional (e.g., Open Banking) and bureau data (e.g., Experian, Equifax) Expertise in feature engineering, handling class imbalance, and evaluating model performance using More ❯

or behavioural data, ideally in a consultancy or agency environment Strong command of quantitative analysis methods , including regression, segmentation and more advanced statistical techniques Proficiency in tools like Python, SQL, SPSS, Q or R Confidence working with and integrating non-survey data sources such as 1st-party or behavioural data Ability to explain technical findings clearly to non-technical audiences More ❯