Senior Data & AI Consultant – Predictive Analytics & Conversion Optimization

Project overview

For our client, we are looking for an experienced freelancer or implementation partner to conceptualize and practically implement data and AI-driven solutions for optimizing survey campaigns and sales processes.

The goal is to use existing contact, interaction, and sales data for more targeted engagement: Which contacts should be prioritized? When is the right time to make contact? Which approach and which next action promise the greatest success?

The project includes analyzing the initial situation, developing a clearly defined MVP, and preparing a scalable, production-ready solution.

Use Cases

Intelligent Steering of Survey Campaigns

Data-Driven Sales Journey

• Segmentation and prioritization of contacts based on available data and previous interactions.
• Recommendation of suitable contact times, communication channels, and content.
• Development of situation-based reminder logic.
• Continuous improvement based on response and participation behavior.
• Measurable increase in participation rates and contact efficiency.
• Lead scoring and prioritization for the sale of licenses for awards, seals, and comparable products.
• Identification of relevant buying signals and assessment of closing probabilities.
• Development of Next Best Action recommendations, e.g., for calls, emails, follow-ups, or offers.
• Personalized communication suggestions for different target groups.
• Improvement of closing rates, sales efficiency, and revenue potential.

Responsibilities

• Conducting a discovery phase to analyze business processes, data availability, data quality, and integration possibilities.
• Defining a prioritized MVP scope together with business departments and technical contacts.
• Developing an implementation-oriented solution architecture, considering data protection, security, and scalability.
• Preparing and linking relevant data, as well as developing suitable features and modeling approaches.
• Developing and evaluating prediction, scoring, and recommendation models.
• Implementing necessary data pipelines and connecting existing systems via APIs and interfaces.
• Integrating results into operational workflows, user interfaces, or existing applications.
• Defining and implementing a measurement concept with KPI baselines and comparison to previous approaches or a control group.
• Setting up monitoring for data quality, model quality, usage, and business results.
• Creating technical and functional documentation, as well as knowledge transfer to internal teams.

Requirements

Approach and Expected Results

Implementation will be done step-by-step. First, the data situation, business case, and technical feasibility will be examined. Then, the prioritized use case will be implemented as an MVP and evaluated based on defined KPIs.

Expected results include:

As an initial orientation, approximately 4–8 weeks are planned for the discovery, 8–16 weeks for the MVP implementation, and another 4–8 weeks for piloting and evaluation. The concrete planning will be done after agreeing on the scope.

If you meet the technical requirements and are interested in the project, we look forward to your response, stating:

We are available at any time for questions.

Best regards

Hamza Dani

• Demonstrable project experience with data-driven CRM, marketing, sales, or conversion use cases.
• Solid practical knowledge in Predictive Analytics, Propensity Modeling, Next Best Action, and/or Recommender Systems.
• Experience in integrating heterogeneous enterprise systems via APIs and data pipelines.
• Experience with production-near implementation of Machine Learning solutions, including deployment, monitoring, and evaluation.
• Practical experience with data protection-compliant processing of personal data, as well as security and governance concepts.
• Ability to credibly measure model quality and business impact and communicate it to business departments.
• Experience with Human-in-the-Loop concepts and explainable decision logic.
• Strong consulting skills, independent working style, and willingness for practical development and implementation.
• Agreed-upon target vision, MVP scope, and implementation plan.
• Functional MVP, including data connections and evaluated decision logic.
• Credible proof of functional and economic benefit.
• Monitoring, operation, security, and governance concept.
• Complete documentation, knowledge transfer, and roadmap for scaling.
• Hourly rate
• Availability
• Relevant reference projects

Project details

• Start: 2026-12
• Duration: 6 Monate
• Remote: remote
• Location: München, Deutschland, DE
• Languages: German