1 to 25 of 110 Statistical Modelling Jobs in the UK

ideally with media expertise to help realise some big industry-leading ambitions for our clients. If you like solving problems using creative mathematical and statistical modelling in a practical and pragmatic way (not just with faultlessly clean data sets), where no client, project or day is the same … a small team of data analysts Present in a clear and engaging manner to clients Build models by employ various data analysis techniques and statistical methodologies such as regression analysis, cluster analysis, factor analysis/principal component analysis, experimental designs using statistical software (Python or R) Create project … recommendations of the projects Selling and scoping projects to existing clients Qualifications To be successful in this role you will need: MMM/Econometric modelling experience Advanced degree in Engineering, Statistics, Social Sciences, Economics, or Quantitative Marketing Strong analytical, statistical, and modelling skills Experience in managing projects more »

to learn Python For engineering, experience in a DevOps role, ideally in a data science environment Proven interest and technical expertise in data science, statistical modelling and/or machine learning Knowledge around software concepts Experience building and deploying data pipelines, e.g. in the context of ETL and more »

are essential. Exposure to Data Analytics, AI, and ML would be very beneficial. The role: Improving budgeting and forecasting systems through trend analysis and statistical modeling. Leveraging methods such as Linear Models, Random Forest etc Interrogating large data sets and applying feature analysis to identify key areas to maximise … their own insights from these views/repositories Skills/experience: Strong knowledge of Python Exposure to Tensorflow/Keras Used Trend Anaylsis and Statistical Modelling Data visualisation experience (Tableau) MySQL experience preferred (or similar Relational Database) Strong attention to detail, and analysis skills. AI/MI l more »

can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team : You will part of a team assisting the business with statistical analysis and building predictive models for credit, fraud, and identity risk. About the Role : This a Lead Data Scientist to manage a small team … future strategy of the team, as well as performing product development and research projects as needed. The incumbent will have experience in data mining, statistical methods, and multiple modelling/scoring techniques. Responsibilities Managing a small team of data scientists building credit and fraud risk predictive models and … leading junior data scientists, either via direct line management or peer coaching. Demonstrate good oral and written communication skills, including the ability to describe statistical results to non-technical audiences Show initiative and tenacity to help build and scale a new analytics function, including developing future leaders Have expertise more »

Have programming experience (essential) with one or more of R, Python, or SQL and proven ability to manipulate and prepare data for analytics and statistical modelling. Able to communicate complex technical concepts to specialist/non-specialist audiences and demonstrate impact from data science and analytics work. Is passionate … about using customer data & statistical/technical expertise to help businesses understand customer behaviour and take action. A positive, can-do attitude and a proactive approach; a great team player. What you’ll get for this role: Our purpose - with you today, for a better tomorrow – is a promise more »

a cross functional team that works collaboratively with the platform and product engineering groups to implement and maintain real time process monitoring, informatics and modelling on Pharmaceutical Supply Chain (PSC) production and R&D Oral and Solid Dose (OSD) process platforms. The role is a key component for the … D site. Job Purpose: Reporting into the division’s Director (Oral Solid Dose MSAT), you will own and provide technical expertise for PAT and Modelling of production data with a One-Pharma team working in the R&D and manufacturing sites. Key elements of the role include: Managing the … applications, as well as collaborate with the wider PE&A (Process Engineering & Analytical) group to realize the full value of PAT and MSPM (Multivariant Statistical Process Monitoring) outputs. You will seek opportunities for interventions on platforms to positively impact quality metrics in the OSD production streams (using a full more »

performance. Collaborate closely with cross-functional teams including Operations, Logistics, and IT to understand business requirements and develop innovative solutions. Utilize your expertise in statistical modeling, machine learning, and time series analysis to extract insights from large-scale datasets and drive data-driven decision-making. Continuously monitor and refine … abreast of industry trends and best practices. REQUIREMENTS: Strong proficiency in programming languages such as Python or R, with experience in data manipulation and statistical analysis. Solid understanding of forecasting methodologies including time series analysis, regression, and machine learning algorithms. Previous experience working in supply chain or logistics analytics more »

As part of the role, the manager will support the team in quantifying Aviva Investors’ operational risk capital requirements through the use of a statistical model. They will also help coordinate the wider ICARA and emerging risk framework activities through: Supporting the team in co-ordinating the development, monitoring … for: Knowledge of emerging risk and capital management frameworks and practices across the asset management and other financial sectors. Understanding of ICARA and related modelling techniques such as operational risk modelling Knowledge of the workings of the FCA and other global regulators, in particular an understanding of their more »

remote role for a Data Science Manager at Creative.ai. The Data Science Manager will be responsible for leading a team of data scientists, conducting statistical modeling and analysis, and utilizing data science techniques to drive strategic decision-making and improve marketing campaign performance. The Data Science Manager will also … be involved in data analytics and leveraging statistical and analytical skills to uncover insights. Qualifications Statistical Modeling, Statistics, and Analytical Skills Data Science and Data Analytics Experience in leading and managing a team Strong problem-solving and critical thinking abilities Proficiency in programming languages such as Python or more »

or a related field Strong proficiency in Python and data science stack e.g. Pandas/Numpy/Scikit-learn Experience with data analysis and statistical modeling is a plus Excellent problem-solving skills and ability to work effectively under pressure Experience with C++ is a plus Ability to adapt more »

delivering, supporting the development of our warehouse and factory construction research. In this position, you will be developing new methodologies and research approaches, leveraging statistical models like regression analyses. In addition to doing research, you will also be supporting the commercial success of the group by engaging with clients more »

to support the development of advanced RNA medicines for one of the most pressing healthcare challenges of our time. The role will lead advanced modelling methods within a functional genomics and imaging team, with a sharp focus on generating novel target recommendations, validating them in models (including actual human … liver disease. This role will be based at Oxford Science Park. UK remote work is possible, with site visits. Key Responsibilities Lead the ‘advanced modelling’ squad within the In Silico Biology Team, and be the point of contact and a role model for advanced modelling within the company. … Maintain strong domain knowledge of leading ‘omics' and ‘big data’ computational methods Drive experimental design & modelling of deep phenotyping and/or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional teams bringing together best-in-class Drug Discovery, Drug Development, Product more »

and implementing solutions. THE ROLE As a Data Scientist for this team, you will: Use SQL and Python to work on machine learning and statistical modelling across the end-to-end supply chain Help automate and optimise supply chain and logistics processes through data and technical solutions Deliver … to improve logistics forecasting YOUR SKILLS The successful candidate will have the following skills and experience: Strong technical skills in SQL and Python for statistical modelling and forecasting Excellent communication skills, able to speak confidently with senior stakeholders Preferably have experience in forecasting and supply chain/demand … for this position - only successful applicants will be contacted. Desired Skills and Experience SQL, Python, data science, forecasting, supply chain, demand, supply and demand, statistical modelling, predictive analytics, machine learning, data modelling more »

presenting to the Trading Forum and contribute to delivering agreed outcomes. to the delivery of technical projects to improve underwriting performance against common technical modelling standards and adherence to data controls. review pricing and underwriting monitors, ensuring key points are escalated. What you will need: Analysis experience. in working … Emblem understanding of the various elements of the price insurance markets set, and how they can optimise this to deliver business targets of relevant statistical modelling methods and machine learning techniques you will hold a highly numerate degree and have experience of applying your knowledge in a business more »

languages used in AI, such as Python, Java, C++, and R, along with experience of ML, deep learning, TensorFlow, Python, NLP · Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability · Experience working with large data sets and writing more »

management infrastructure. · Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R would be beneficial. · Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability would be beneficial · An entrepreneurial attitude · An ability more »

code optimality test and a culture fit round. As part of our team, you'll embark on thrilling responsibilities including:- Utilizing advanced mathematical and statistical techniques to model and forecast Bitcoin market movements. Analyzing extensive financial datasets to identify lucrative trading opportunities. Exploring academic journals and financial literature to more »

Manages conflict in a constructive and culturally appropriate way. Has the courage to assert own view and challenge appropriately •Data analysis: Techniques that include, statistical process control, reliability modelling and prediction, fault tree analysis •Common Vision: Understands and contributes to the business vision and strategy. Aligns work to more »

Strong numerical proficiency and a detail-oriented approach to problem-solving. Expertise in Excel & SQL, with a bonus for experience in Python, R, or statistical modeling tools. Why Join Us: Four-day work week with no reduction in salary. Flexible hours and the option to work remotely multiple days more »

Senior Data Scientist (5+ years experience) Experience with Python, SQL, Azure & Power BI. A proven track record of applying machine learning methods and applying statistical modelling. Experience leading or mentoring junior team members. MSc/PhD in Data Science, Computer Science, Statistics or related fields. If you meet the more »

innovative models, as well as enhancing existing ones. Implement and enhance existing data pipelines required by our various models/workflows. Develop mathematical/statistical models for Prime desks to enhance business revenue and profitability for stock borrow-loan, cash and synthetic financing books. Devise solutions for systematic book more »

closely with our clients to understand their unique challenges and develop bespoke solutions. You will utilize your expertise in data analysis, machine learning, and statistical modeling to extract actionable insights from complex datasets. You will translate technical findings into clear, concise recommendations, guiding clients towards informed business strategies. You more »

needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to share … programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic trading protocols. Excellent analytical and problem more »

dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to financial data analysis. Exhibited excellence in academic and/or extra-curricular more »

Energy start up as a member of the core planning team, supporting the growth of the business on a global scale. Responsibilities - Consultant Financial Modelling : Develop and maintain financial models to evaluate the viability and profitability of proposed projects. This includes revenue projections, cost structures and investment returns to … Consultant 2-4 Years of Analyst Experience : Demonstrated experience as an analyst in an investment banking environment, with a strong understanding of financial analysis, modelling, and decision-making processes. Experience in analysing investment opportunities, evaluating financial performance, and conducting market research will be highly beneficial. Relevant Qualifications: Possession of … in building advanced predictive models is desirable, as it enables you to forecast future trends, assess risk, and optimise decision-making processes. Experience with statistical modelling techniques and predictive analytics tools will be advantageous. Permanent Opportunity. If you are interested in this position, please reach out through the more »