Data Scientist

At Ensono, our purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things! We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

Developing impactful solutions is something we do together at Ensono because Ideas Start Here. Great things happen when many voices are heard, and people are supported to run with their ideas. On our teams, you will be backed by leaders with a passion for our business. This is a place where your ideas can Do Great Things.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business.

Adventure starts here. Here you will be a part of a team that encourages you to master your craft, ask tomorrow's questions today, and chart your path. Our Associates focus on client impact with curiosity and a feeling of relentless commitment.

About the role and what you will be doing:

• 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.

• 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.

• Get Stuff Done - You don't over-engineer; you deliver working models and iterate.

• Business Impact First - You measure success not just in accuracy scores but in reduced incidents, faster resolution, and measurable cost savings.

• Collaborative Problem-Solver - You thrive in cross-functional teams, bridging the gap between data, operations, and business leaders.

• Curious Innovator - You push the boundaries of how AI/ML can be applied to enterprise IT, always looking for creative ways to improve.

• Predictive models that identify major incidents up to an hour in advance with confidence and accuracy.

• Actionable insights that are trusted by Ops teams and integrated into their workflows.

• Clear business outcomes: improved uptime, lower costs, and faster mean time to resolution (MTTR).

• A growing library of reusable features and models that scale across multiple clients and infrastructure types.

• 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!