Manager, Data Science; ML Focus - Remote

Job Description

At Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems while empathizing with the people our solutions will help. Data analytics is a core component of how we do this. We are looking for a Senior Data Scientist / Machine Learning Engineer (DS/MLE) to add to our talented team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today’s fast‑paced environment.

As a Senior DS/MLE, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems.

• Engage directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way
• Partner with internal and client stakeholders to shape solutions, develop proposals, and contribute to go‑to‑market initiatives
• Design, develop and deploy efficient data pipelines for both structured and unstructured data
• Product ionise machine learning research in both on‑premises and cloud environments
• Rapidly prototype solutions and integrate new data sources
• Drive optimisation, testing and tooling to improve quality of solutions
• Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before
• Collaborate with data architects and software developers to plan and construct the architecture of model deployment
• Develop and support APIs to serve models and other data solutions
• Continuously learn and adopt new tools and technologies to stay ahead in a rapidly evolving AI landscape

* This is not an entry level/recent graduate role and requires at least 5+years of related industry experience.*

• Experience working in a consulting firm (professional services or managed services)
• Previous experience managing a team of Data Scientists
• Bachelor’s degree (and preferably an advanced degree) in Computer Science, Engineering, or a quantitative field is required
• 5+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus)
• 3+ years experience with Databricks and/or Apache Spark
• 3+ years experience with advanced analytics and modern machine learning techniques
• 3+ years experience with APIs, containerisation (Docker), and orchestration (Airflow)
• 3+ years experience with relational databases and SQL (Postgres, Redshift, SQL Server)
• 3+ years experience with cloud platforms (Azure, AWS, GCP) and services
• Proficient with version control
• Proficient in software architecture and design patterns
• Proficient on Linux for both development and operations

• Experience with deploying applications on Kubernetes
• Experience with Palantir Foundry
• Experience with Python API development frameworks (FastAPI, Django, Flask)
• Experience with No
  
  SQL and streaming platforms, e.g., Kafka, Mongo
  
  DB, Neo4j

• Experience working in a consulting or client‑facing environment, collaborating directly with business stakeholders
• Strong ability to translate complex technical concepts for non‑technical audiences
• Demonstrated experience contributing to business development efforts, including proposal writing, solutioning, and partnering with sales or account teams
• Solution creativity and effective written, verbal, and presentation skills
• Proven success working across diverse industries and project sizes with a collaborative, outcomes‑focused mindset
• Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems

At Resultant, we are driven by purpose—partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges…