1 to 25 of 36 R Jobs in Slough

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 ❯

e.g., Business Analyst, Data Analyst, Strategy Analyst) within a consulting firm, tech company, or product-led organization. You possess a strong quantitative background and are proficient in SQL, Python, R, or other data analysis tools. Experience with data visualization platforms (e.g., Tableau, Looker, Power BI) is essential. You are a structured problem-solver who breaks down complex, ambiguous problems into More ❯

managing dynamic, multi-disciplinary teams Deep expertise in machine learning techniques, including clustering, Bayesian methods, reinforcement learning, and scalable modelling Technical fluency in tools and platforms like Python or R, cloud environments, and big data infrastructure (e.g., Hadoop, Kafka, SQL) Exceptional stakeholder communication-able to translate complex technical ideas into strategic insights for executive audiences Bonus: Experience in industries like More ❯

through experimentation and analytics What We’re Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of More ❯

record in forecasting and data analysis/data science, with hands-on experience building and enhancing complex models from scratch Proficiency with statistical tools and programming languages such as R, Python, or SAS Experience leading complex model updates - both operational enhancements and full development projects - with the ability to clearly communicate outcomes to stakeholders Strong problem-solving skills, able to More ❯

years in product/analytics roles Strong skills in SQL, A/B testing, statistics and data storytelling Hands-on with Tableau, Power BI, or Looker Bonus: Python/R, predictive modelling, FinTech passion What you get: Competitive salary plus discretionary bonus Excellent benefits package Hybrid working (3 days in London office) Career growth with unlimited learning Extra perks: birthday More ❯

team members and lead innovative analytical initiatives. You will bring experience working in data science/statistics from a market research or media agency, and be an expert in R and/or Python . Expertise with analysis of survey data and undertaking segmentation and conjoint analysis expertise is essential. Experience of survey analytics such as MaxDiff, TURF; knowledge 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 ❯

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 An innovative and proactive More ❯

futures and options pricing, volatility modeling, and curve-fitting techniques. Experience with digital asset markets or fintech is highly desirable. Technical Skills: Proficiency in programming languages such as Python, R, C++, or Matlab for model development and data analysis. Strong understanding of risk models (VaR, Expected Shortfall, SPAN) and financial market infrastructure. Familiarity with high-performance computing and low-latency More ❯

What we’re looking for: At least 3 to 5 years of experience in data science, with a strong focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and results in More ❯

interest in AI tool integration to enhance research workflows and insight generation. Experience in data visualisation and storytelling, including building dashboards and reports. Proficiency in MS Office; experience with R, SQL, Python, or equivalent tools is beneficial. Ability to deliver high-quality outputs efficiently. Excellent attention to detail. Strong presentation skills with the ability to convey complex information clearly. Ability More ❯

Data Science, or a related field A number of years of experience working within Risk Modelling, Risk Management, Risk Validation Proven experience with statistical software, ideally in Python or R Experience with advanced analytical techniques, including machine learning and predictive modelling Industry knowledge of forecasting in Automotive/Finance/Manufacturing is high desired What's in it for you More ❯

markets, trading instruments, and risk management concepts Experience with trading platforms such as Allegro, Endur, Titan, or similar ETRM systems Proficiency in data analysis tools (Excel, SQL, Python/R preferred) Understanding of market data feeds, pricing models, and trade lifecycle management Familiarity with regulatory reporting requirements for energy markets Core Competencies Excellent analytical and problem-solving skills with attention More ❯

You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise; You have experience running Segmentation projects using different clustering methods; You are expert with R and/or Python; Nice-to-haves: You have an interest in current affairs and politics; You have experience or knowledge of standard survey analytics such as MaxDiff, TURF, Key More ❯

or macro/commodity data. Experience working with large, unstructured datasets across varying timeframes, ideally within commodities or energy markets. Proficient in at least one major programming language (Python, R, MATLAB, C++, or C#). Exceptional attention to detail and the ability to manage multiple research streams simultaneously. Intellectual curiosity and creativity in approaching complex problems, particularly around integrating unconventional More ❯

Strong background in marketing or performance analytics Experience leading or managing analytics teams Stakeholder management and communication skills Familiarity with MMM, customer modelling, and related techniques SQL, Python or R proficiency Nice to have: Experience in live entertainment, ticketing, or consumer-focused businesses Familiarity with CDPs or marketing automation platforms Passion for theatre, live events, or the arts 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 ❯

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 ability More ❯

selection. Desirable Experience in developing and deploying machine learning–based assessments in production environments. Knowledge of GDPR compliance, with a particular focus on AI and data protection Proficiency in R and Python programming. More ❯

technical skills and impact the insurance industry! What we are looking for: - 4+ years of experience in the insurance market in London - Proficiency in SQL, RMS/AIR, Python, R, CyberCube (Ideally) - Experience in model outputs - Excellent communication and delivery skills Please reach out to me via LinkedIn or Sueanne.phee@eamesconsulting.com to find out more More ❯

a few years in a professional setting. Hands-on experience in an ESG-focused environment, with a strong understanding of sustainability data. Programming skills in Python and/or R, with working knowledge of SQL and exposure to Big Data technologies (e.g. Hadoop). Solid background in financial services, preferably within asset management or investment analytics. Full-time office presence More ❯

model Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience using Python or R (SAS will be considered) Experience building IFRS9, scorecard or affordability models A strong university degree in a numerate discipline SALARY AND BENEFITS Up to £65,000 base salary Enhanced pension More ❯

support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence. … platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker More ❯

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 On More ❯