Data Scientist

Job not on LinkedIn

October 24

Apply Now

Receive Emails with Similar Jobs

Ensono

WebsiteLinkedInAll Job Openings

Cloud Services • IT Services • Managed Services

Ensono is a managed service provider and expert technology advisor focused on enabling clients to navigate complex IT environments. Ensono offers services including mainframe-as-a-service, cloud migration, and IT infrastructure management, with a strong emphasis on modernizing legacy systems and optimizing IT operations. The company is recognized for its flexibility and allyship, providing businesses with the ability to adapt and evolve through solutions like Ensono Flex®. It specializes in both mainframe and cloud solutions, holding competency in AWS mainframe modernization and is a global Azure Expert MSP. Ensono acts as an ally, helping companies achieve better business outcomes through IT innovation and strategic technology advisement.

1001 - 5000 employees

📋 Description

• Model Development – Design, train, and validate machine learning models for incident prediction, anomaly detection, workload optimization, and intelligent automation. • Feature Engineering – Collaborate with Data Engineers to identify, transform, and optimize features from ServiceNow, operational telemetry, financial, and customer datasets. • Experimentation & Evaluation – Apply rigorous statistical and experimental design methods (A/B testing, Design of Experiments) to validate model performance. • Insight Generation – Use data storytelling to translate complex model results into actionable insights for business and operations stakeholders. • Collaboration Across Teams – Partner with ML Engineers to deploy models into production and with Ops teams to ensure predictions are explainable and trusted. • Continuous Improvement – Monitor drift, retrain models, and refine approaches to stay ahead of evolving infrastructure and client needs.

🎯 Requirements

• Strong foundation in statistics, machine learning, and data science techniques (linear models, trees, ensembles, neural networks). • Proficiency in Python and core data science libraries (Pandas, NumPy, Scikit-learn; bonus: TensorFlow/PyTorch). • Experience working with ServiceNow data and other IT operations datasets. • Skilled in SQL for data exploration and feature engineering. • Knowledge of Snowflake is an important capability. • Familiarity with data storytelling tools (Tableau, Power BI, or similar) to communicate insights effectively. • Knowledge of model evaluation metrics (F1, ROC/AUC, precision/recall) and experience optimizing for business impact, not just technical performance. • Experience with experimentation frameworks, statistical testing, or Design of Experiments (DOE) is a strong plus.

🏖️ Benefits

• Competitive base with uncapped commission • The ability to work from a range of flexible locations • Prestigious sales and broader team recognition with the Annual Presidents Club • Starting with 27 days annual leave (plus bank holidays) – accruing to 30 • 1/2 day leave on your birthday • Sabbatical options at 5 & 10 years’ service • 5 days study leave • Generous company pension • Private healthcare for you and your family • Payroll giving • Enhanced paternity and maternity leave • Equity appreciation program incentive plan • Life and income protection • Additional perks such as discounted gym memberships, cycle scheme, EAP and more!