Remote Statistical Modelling Jobs in Chelmsford

3 of 3 Remote Statistical Modelling Jobs in Chelmsford

Data Scientist

chelmsford, east anglia, United Kingdom
Hybrid / WFH Options
Harnham
acumen and commercial awareness, as you’ll directly impact profitability through smarter pricing, stock optimisation, and predictive inventory management. Key Responsibilities: Develop predictive and statistical models to optimise inventory management, pricing strategies, and advertising sales performance. Analyse inventory turnover, sales rates, supplier lead times, and customer demand to inform … data-driven decision-making across the business. Build scalable, reusable models and frameworks to inform long-term inventory and pricing strategy. Skills & Experience: Strong statistical modelling and predictive analytics expertise. Proficiency in SQL and Python (or R) for data manipulation and model development. Experience working with commercial, sales More ❯
Posted:

Data Science Actuary (PHD Graduates)

chelmsford, east anglia, United Kingdom
Hybrid / WFH Options
Arthur Recruitment
to communicate the results of actuarial analyses to key stakeholders Requirements: PhD/Masters in a research based subject Experience of actuarial pricing or statistical modelling Knowledge of R or Python More ❯
Posted:

Microsoft Fabric Consultant

chelmsford, east anglia, United Kingdom
Hybrid / WFH Options
Ingentive
on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic consultancy … environment. Data modelling experience and understanding of the Kimball methodology Desirable Expertise: DP-600 – Fabric Analytics Engineer Associate PL-300 – Power BI Data Analyst Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines More ❯
Posted: