101 to 125 of 790 Predictive Modelling Jobs

you'll lead efforts to transform and standardise complex healthcare datasets, enabling high-quality analytics, research, and innovation. To succeed, you'll bring deep expertise in data engineering, statistical modelling, and SQL-based transformation frameworks, along with experience delivering actionable insights from real-world clinical data. Main duties of the job You will be responsible for delivering a proactive … Integrated Care System (ICS) initiatives. Leveraging your extensive knowledge and technical skills, you'll manage complex information challenges, support forecasting and capacity planning, and contribute to the development of predictive models. You'll also lead and support research, academic, and commercial collaborations, ensuring that the development of data science products and services aligns with the needs of operational, clinical More ❯

areas such as workforce planning, engagement, retention, DEI, and organisation design, helping Arm anticipate and navigate how the world of work is changing Introduce advanced analytics capabilities such as predictive modelling, sentiment analysis, and organisational network analysis to shape our strategy and decision making Partner with colleagues across the People Group to define, prioritise, and deliver data-driven More ❯

actionable results Strong PowerPoint and presentation/communication skills Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc. Strong SQL skills required Experience in Python with predictive modelling, regression techniques as well as wider techniques like clustering/random forest is desirable Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy More ❯

partners with a global list of customers that are building mission-critical applications on top of AWS services. Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization? At Amazon, we are working to be the most customer-centric company on earth. To … there is opportunity to own globally impactful work and grow your career in technical, programmatic or people leadership. You will likely work with Python or R, though specific particular modelling language. Your problem-solving ability, knowledge of data models and ability to drive results through ambiguity are more important to us. About the team Diverse Experiences: Amazon values diverse More ❯

small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written and verbal communication skills, with the ability to present findings More ❯

small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written and verbal communication skills, with the ability to present findings More ❯

driven decision-making. Your work will contribute directly to the organisation's mission of informing and engaging audiences. Use advanced data analytics techniques to uncover audience behaviour trends Develop predictive models and machine learning algorithms to enhance decision-making Collaborate with cross-functional teams to shape data-driven solutions Design and conduct experiments, refining models for continuous improvement Enhance More ❯

best practices, and advanced methodologies to build, improve, and automate solutions for commercial decision-making. This is a 9-12 month maternity cover role! Accountabilities Design, develop, and evaluate predictive models and algorithms to extract maximum value from data. Maintain reproducible workflows, document experiments, and track model performance. Create solutions across Commercial, Operations, and Overheads to influence business strategy More ❯

accuracy and reliability. Use analytics and visualization tools to identify trends, patterns, and key insights. Create user-friendly dashboards and automated reports to help stakeholders track key metrics. Apply predictive modeling to support better decision-making and optimize operations. Work closely with engineers and operational teams to turn data into actionable strategies. Ensure data quality through regular validation, cleaning More ❯

Visualize data and present findings to stakeholders through reports, dashboards, and presentations. Stay up-to-date with the latest trends and technologies in data science and machine learning. Develop predictive models and algorithms to support decision-making. Document methodologies, models, and processes for future reference and continuous improvement. ELIGIBILITY & QUALIFICATIONS: Master's degree in data science, Statistics, Computer Science More ❯

MSc/PhD in Data Science, 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 More ❯

that support strategic decision-making across the organization. Responsibilities Develop, implement, and validate advanced statistical models and machine learning algorithms. Utilize R and Python for data exploration, analysis, and predictive modeling. Collaborate with data engineers and business stakeholders to ensure data readiness and alignment with business objectives. Interpret complex datasets to generate actionable insights and present findings to technical More ❯

insights within their workflow Conduct regular analysis of workforce trends, including employee engagement, performance metrics, and recruitment funnel metrics Lead workforce planning efforts by analyzing historical data and creating predictive models for future staffing needs Design and implement data collection methodologies to capture relevant HR metrics across various sources Build and maintain documentation for reporting processes, metrics definitions, and More ❯

and modeling. Understanding of user research to complement quantitative insights. Curious, collaborative team player able to prioritize in a fast-paced environment. Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Experience supporting data-driven product roadmaps and experimentation programs. Keen interest in trading and investing. Basic knowledge of HTML, CSS, JS. How we work More ❯

performance, and sales funnel metrics. Develop models to support growth planning, forecasting, and strategic investments. Monitor and enhance operational KPIs like vehicle utilisation, idle time, and maintenance cycles. Build predictive models for vehicle demand, depot performance, and resource allocation. Identify inefficiencies in service processes, proposing actionable improvements. Partner with finance leadership to deliver board-ready reports and scenario models. More ❯

/B tests, delivering insights on user behavior, optimizing customer journeys, or building new tools to help improve user experience with the Product teams (New metrics, new user segmentation, predictive models, ). This position will be highly rewarding and lots of fun. Training and development opportunities will abound in this position, and high-performing individuals will find a long More ❯

on user behavior, identifying customer pain points all along the journey, or building new tools to help improve user experience with the Product teams (New metrics, new user segmentation, predictive models, ...), tagging, running and analyzing new features using test and learn techniques with the stakeholders. This position will be highly rewarding and lots of fun. Training and development More ❯

/B tests, delivering insights on user behavior, optimizing customer journeys, or building new tools to help improve user experience with the Product teams (new metrics, new user segmentation, predictive models). This position will be highly rewarding and lots of fun. Training and development opportunities will abound in this position, and high-performing individuals will find a long More ❯

or hybrid models to enhance the customer shopping experience Expertise in association rule mining to identify frequently bought-together items for cross-selling and upselling opportunities Ability to develop predictive models for customer churn, identifying at-risk customers and designing targeted retention strategies Expertise in developing personalized customer experiences, from personalized promotions to tailored product recommendations based on real More ❯

You will be working in small Data Science team on green-field projects so we are looking for someone who can assess business needs and build a range of predictive Data Science models from the ground-up. They are at the early stages of their Data Science journey so you will have the opportunity to influence their approach and … many of the: A good Degree in Computer Science, Statistics, Data Science, Mathematics or a related field At least 5 years demonstrable data science experience with a range of predictive modelling techniques and knowledge of Generative AI tools. Proficiency in programming languages such as Python or Scala. Familiarity with ETL, Data Pipelines, Data Modelling and Data Warehousing More ❯

people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation. Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalization. What you will be doing: You'll join a London-based agile team building and supporting data science products that drive business impact across PlayStation. You'll collaborate closely with other data scientists, engineers, and product … marketing, operations, engineering, product planning, R&D, and finance. We are hiring for two vital teams within Data Science: Forecasting & Value Models: With a focus on forecasting and value modelling, you will help PlayStation quantify and anticipate the future value of our customer base, powering commercial decisions that affect strategy and planning. Your work will enable the business to More ❯

degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. Experience with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques. Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure). More ❯

degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. Experience with data visualization tools like Tableau, Power BI, or similar. Strong knowledge of time-series analysis, predictive modelling, and machine learning techniques. Familiarity with database management systems (e.g., SQL) and cloud platforms (e.g., AWS, Azure). More ❯

AI - Perform data exploration, feature engineering, and model optimisation - Apply supervised, unsupervised, and reinforcement learning algorithms - Conduct large-scale data analysis across structured and unstructured sources - Develop statistical and predictive models to drive business insights - Productionise models and monitor performance, identifying drift and retraining needs - Integrate AI/ML solutions into wider business systems and applications - Create robust documentation … AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working independently on end-to-end ML pipelines - Experienced in visualisation tools (e.g. Matplotlib, Seaborn, Tableau) Desirable: - Exposure to cloud platforms (AWS, GCP, Azure) and big data tools More ❯

degree or experience in a quantitative field (Mathematics, Computer Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop More ❯