Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn More ❯
and fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. More ❯
of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯
City of London, London, United Kingdom Hybrid / WFH Options
SR2 | Socially Responsible Recruitment | Certified B Corporation™
and clearly to both technical and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure ML) Strong data visualisation skills More ❯
Computer Science, Maths or similar. Hands on experience in data science or AI, including leadership roles. Deep expertise in machine learning, NLP, and predictive modelling. Proficient in Python or R, cloud platforms (AWS, GCP, Azure), and big data tools (e.g. Spark). Strong business acumen, communication skills, and stakeholder engagement. If this role looks of interest, please apply here. Please More ❯
the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven experience in clustering and propensity Strong coding skills in Python, R or MATLAB Excellent communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS More ❯
3+ years in a Data Analyst role within complex business environments Strong SQL skills and experience with data visualisation tools (Power BI, Tableau, or similar) Experience of Python or R would be a plus. Comfortable working with large datasets and drawing business-relevant conclusions Excellent stakeholder management and communication skills Experience in the banking or financial sector is a strong More ❯
strategy. What They’re Looking For Solid experience in yield, pricing, or forecasting optimisation – ideally within online marketplaces, programmatic media, travel, or insurance. Strong technical skills in Python or R, and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical More ❯
Computer Science, Economics or related field. 3+ years in a Data Analyst or Business Intelligence role. Experience in financial services or fintech preferred. Strong SQL and experience with Python, R or similar. Familiarity with data lakes/warehouses (Snowflake, Databricks). If you meet the above criteria and are looking for your next challenge, we’d love to hear from More ❯
Analytics: Explore new data analysis techniques like machine 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, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time More ❯
experience in a data-rich environment using data mining techniques and predictive analytics Managing and building a high-performance team and region, from senior managers to graduates Experience with R and Python would be beneficial Experience with GCP - essential Deep understanding of statistical concepts and how to apply this in a business context We believe that diversity is one of More ❯
in Statistics, Mathematics, Economics, Data Science, or a related discipline A number of years experience in Risk Modelling, Credit Risk, Risk Management Proficiency in statistical tools, preferably Python or R Practical exposure to machine learning, predictive modelling, and advanced analytics techniques Industry experience in Automotive, Finance, or Manufacturing is highly desirable What’s in it for you: 💰 Salary More ❯
What we're looking for: MSc/PhD in a quantitative field (e.g. 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 More ❯
methods to interpret data trends, patterns, correlations and communicate insights and recommendations to operational teams. What we need from you? Proven Experience with programming languages such as Python/R and advanced T-SQL programming Experience in large-scale datasets, analysing unstructured data/semi structured data to solve business problems, and presenting impactful insights Experience with RPA/Automation More ❯
and incentives that value your efforts! What we are looking for: ▪️ 1-3 Years Experience within the insurance industry in London ▪️ Strong SQL, Power BI, Python and/or R skills (ideally) ▪️ Excellent understanding and use of RMS/AIR ▪️ Collaborative mindset and strong communication skills If you would like to find out more about this position, please do not More ❯
track record delivering production-grade ML models Solid grasp of MLOps best practices Confident speaking to technical and non-technical stakeholders 🛠️ Tech you’ll be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Propel
ll be the go-to for anything data-related 🛠️ What you'll need: ✔ Solid product analytics experience in a tech or digital environment ✔ Strong SQL skills + Python or R for deep analysis ✔ Comfortable with tools like GA, Content Square, Appsflyer, Firebase ✔ Visualisation experience (Tableau or Looker) ✔ Comfortable implementing tracking via Google Tag Manager ✔ A/B testing pro with More ❯
modelling/exposure management within the London Insurance Market - Strong attention to detail, analysis and interpretation of data - Excellent communication skills - High proficiency in SQL, RMS/AIR, PowerBI, R, Python (Coding is highly preferred!) - Motivated and driven to progress your career within a collaborative and inclusive team! sueanne.phee@eamesconsulting.com More ❯
an understanding of exposure management principles and application. Additionally, excellent analytical and data skills, Microsoft Excel abilities, experience of data visualisation tools and the ability to potentially code in R and/or Python will be advantageous. Core attributes required for this role include an enthusiastic team player, motivated self-starter, consistency in producing high-level results with an attention More ❯
you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is More ❯
you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is More ❯
understanding of catastrophe modelling 4-6 Years of experience within the insurance industry based in London Strong proficiency in SQL, RMS and/or AIR, Python, and/or R Strong analytical skillset If this sounds of interest, or if you are unsure if this would be the right step for your career, please do not hesitate to reach out More ❯
fast-paced strategic work You Will Need: 3-5 years experience in analytics Hold a degree in a quantitative subject like Economics, Computer Science, or Statistics Be confident with R and/or Python, and working with large-scale datasets Understand when and how to apply statistical models and machine learning techniques Communicate clearly – both in written insight packs and More ❯
to advance your career as a senior analyst. Ideally you would hold: - 2/3+ years of experience within the insurance market in London - Proficiency in SQL, Python, VBA, R, RMS/AIR - Excellent understanding of catastrophe models and data sets - Excellent communication and delivery skills If you are interested in hearing more, please reach out to me at sueanne.phee More ❯
am looking for someone that: ✅ Holds 4+ years of experience in the insurance industry in London ✅ Exposure to cyber, crisis management classes of business ✅ Strong proficiency in SQL, Python, R, RMS and/or AIR ✅ Excellent communication and presentation skills If this sounds like something you are looking to pursue further, please reach out to me via sueanne.phee@eamesconsulting.com and More ❯
