Principal Data & AI Consultant

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Endava

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2000

🏥 Healthcare

📣 Marketing

📦 Logistics

💰 Post-IPO Debt on 2023-02

Healthcare • Marketing • Logistics

Endava is a technology company that partners with clients to drive meaningful change through innovative technological solutions. With over two decades of experience, Endava combines world-class engineering, industry expertise, and a people-centric mindset to transform businesses across various sectors. Specializing in areas such as finance and banking, healthcare, media, and telecommunications, Endava leverages its industry-specific knowledge to create solutions that meet the evolving needs of the market. The company is committed to building trusted partnerships and creating positive impacts for both businesses and people.

📋 Description

• Serve as a senior trusted advisor to CIO, CTO, CDO, CRO, business, product, and technology stakeholders • Lead Data & AI discovery and translate ambiguous business problems into measurable, production-ready solutions • Design end-to-end architectures spanning data platforms, analytics, machine learning, GenAI, applications, APIs, governance, and integrations • Lead and challenge advanced forecasting and predictive-modeling approaches • Define business and model success measures, including R², WAPE, MAPE, statistical significance, and business-impact KPIs • Ensure point-in-time correctness, prevent data leakage, and maintain rigorous model-development and validation practices • Provide hands-on technical leadership using Python, SQL, Snowflake, notebooks, Git, and modern Data/AI platforms • Shape AI use cases across forecasting, sponsorship sales, lead scoring, next-best-action, revenue intelligence, personalization, subscription growth, and commercial optimization • Evaluate when classical analytics/ML, GenAI, or agentic AI is the appropriate solution • Lead architecture and solution-design workshops and present recommendations to senior and executive audiences • Support proposals, SOWs, RFI/RFP responses, estimates, staffing models, and technical solution shaping • Lead and mentor multidisciplinary teams across Data Science, Data Engineering, AI Engineering, Software Engineering, and Architecture • Participate in client stand-ups, backlog refinement, executive readouts, and strategic planning • Teach and transfer knowledge to client teams; ensure documentation, reproducibility, and handover • Challenge client requests when the proposed approach does not solve the underlying business problem

🎯 Requirements

• 7+ years of applied forecasting and data domain experience • Proven experience leading at least two comparable forecasting engagements from discovery through production/handover • Strong experience with comparable-unit / same-store-style forecasting approaches • Expert-level multivariable regression, collinearity analysis, VIF interpretation, model tuning, selection, and holdout validation • Strong understanding of sparse and zero-inflated datasets; must understand why nulls cannot be silently treated as zero • Strong metric fluency, including R², WAPE, MAPE, and p-values, with the ability to explain metric selection in business language • Deep understanding of data leakage and point-in-time feature correctness • Strong Python and SQL skills and experience creating reproducible analytical workflows/notebooks • Git and pull-request-based software delivery experience • Strong Data Architecture and Solution Architecture capability across ingestion, transformation, modeling, security, governance, APIs, cloud, and production operations • Strong understanding of ML, GenAI/LLMs, RAG, AI agents, and modern enterprise AI patterns • Proven executive communication skills; must be able to present to non-statistical audiences using business outcomes first and methodology second • Must be capable of explicitly communicating forecast/model limitations, uncertainty, and risk in plain language • Proven client consulting and thought-leadership experience; able to teach methodology, not simply execute it • Demonstrated experience leading senior client workshops, technical discovery, architecture discussions, and executive readouts • Strong commercial judgment and ability to connect technical decisions to revenue, operational, or customer outcomes • Preferred domain experience in sports, media, entertainment, streaming, ticketing, subscriptions, sponsorship, advertising, telecom, or commercial/revenue analytics • Desired experience with hierarchical/mixed-effects modeling, ADRs, large-scale categorical encoding, MLOps, governance, and responsible AI • Strong Snowflake experience; Snowflake ML / Model Registry experience • 10–12+ years overall Data, Analytics, AI, Architecture, or related technology experience • Ability to go into corporate or client offices to work onsite, as necessary • For positions requiring business travel/event attendance: valid driver’s license and acceptable driving record

🏖️ Benefits

• Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options • Flexible Spending Accounts (Medical, Transit, and Dependent Care) • Employer Paid Life Insurance and AD&D Coverages • Health Savings account paired with our low-cost High Deductible Medical Plan • 401(k) Safe Harbor Retirement plan with employer match with immediately vest • Inclusive, open, and respectful work environment • Reasonable accommodations during the recruitment process, if needed