1 to 25 of 27 DemandTrendPermanent R Jobs in Slough

data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets- Data 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

PRA, IFRS9, Basel III). Hands-on with model validation, and risk frameworks. Proficient in risk reporting, stakeholder engagement, and translating complex issues for varying audiences. Technical fluency: Python, R (or SAS), and SQL. Confident, collaborative communicator who challenges constructively and drives solutions. Ready to make an impact? If you’re an experienced credit risk professional with the ambition to 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 ❯

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 ❯

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 ❯

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 ❯

desk where collaboration and innovation knows no limits! Working along various lines of business across natural and man-made catastrophe's, building up skills in the use of Python, R, and AIR, this is a fantastic opportunity to consider. If you are currently in the early years of your career, with 2 years of experience in the insurance industry, please More ❯

this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also be required. Want to join? Get in touch. Salary and total compensation is purely based on performance More ❯

losses, all while keeping customer outcomes front and centre. Expectations • Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses. • Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. • Take a ‘test and learn’ approach, challenging the status quo to find better outcomes. • Translate portfolio trends into strategies that … Computer Science, Business, or similar. • 3+ years in analytics, with lending or risk experience,credit card background is a big plus. • Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. • Credit Card industry experience • A proactive mindset and the ability to juggle priorities without dropping the ball. Bonus Points For • MySQL, AWS, or other big-data platform More ❯

development opportunities. Key Responsibilities As a Senior or Principal Statistical Programmer at Veramed, you'll have varied responsibilities and the opportunity to shape your role. Daily tasks may include: R Programming & Leadership: Act as an R Subject Matter Expert (SME) within the Statistical Programming team. Support the uptake of R across the department, promoting best practices and training. Create and … QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. Share updates internally and in client meetings. Collaborate with the Veramed team to ensure timely, high-quality deliverables. More ❯

leading organizations in data mining & knowledge Discovery, predictive modeling, trend modeling, Simulation models (Monte Carlo), Review of credit rating and scoring models and quant support to the business and R&D projects. We look for candidates like you Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics or other Quantitative fields. Postgraduate studies and/… asset, especially in Data Science, Quantitative Finance or similar. Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab) and big data tools and platforms (Hadoop, Hive, etc.). Solid academic record. Strong computer skills. Knowledge of other languages is desirable. Get-up-and-go attitude, maturity More ❯

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK More ❯

Trainee Coding & Programming Placement Programme Please note that this is a training course and fees apply. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we More ❯

If you are looking to progress a career in website administrator, then this training and placement programme is made for you? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. More ❯