Sr. Data Scientist - Prompt EngineeringIT·Philadelphia, PA, New York, NY, Washington, DC·Hybrid

HKA is a global leader in risk mitigation, dispute resolution, and expert witness services. We tackle complex challenges with our multi-disciplinary expertise.

As trusted consultants and advisors, we deliver solutions in uncertain and disputed situations, ensuring the best outcomes for clients worldwide. Our experts have testified globally on major cases spanning across a wide range of industries and sectors.

As part of the HKA team you can expect:

• A strong collaborative culture with a mutual pursuit of your success alongside the success of our teams.

• The opportunity to solve problems creatively, contribute to our innovative direction, and be valued as an individual

• The ability to leverage HKA’s strong network and presence in various industries and reputation for exceptional expert witnesses to accelerate career development and connections.

The Opportunity:

We are seeking a Senior Data Scientist to take a hands-on, delivery-focused role applying prompt engineering, artificial intelligence (AI), machine learning (ML), and process automation to complex, real-world data problems. This role is vendor-neutral and emphasizes designing AI-driven workflows, providing structured context to large language models (LLMs), and driving measurable efficiency gains.

While HKA currently uses Jylo as an embedded AI tool, prior experience with this platform is not required and can be learned quickly. Success in this role depends on strong fundamentals in applied data science and the ability to translate legal, technical, and commercial context into effective AI-enabled solutions — rather than deep expertise in any single product or platform.

Responsibilities:

Prompt Engineering & LLM Design

• Lead prompt engineering as a core capability within HKA

• Design, test, and refine structured prompt playbooks aligned to litigation, arbitration, and investigative use cases

• Provide legal, technical, and commercial context to LLMs to improve accuracy, relevance, and defensibility of outputs

AI‑Driven Document Review

• Apply AI and ML techniques to large-scale document review in construction disputes, fraud investigations, and arbitration matters

• Analyze document populations typically ranging from 150,000 to 250,000+ records

• Reduce large datasets to high‑value, defensible subsets for Partner and expert review

Driving Efficiency in Data Cleansing

• Design and implement AI‑enabled data cleansing, normalization, and de‑duplication pipelines

• Improve speed and quality of relevance classification and issue tagging

• Reduce manual effort through intelligent automation while maintaining auditability and quality controls

Automation & Process Improvement

• Identify manual, repeatable processes suitable for automation across delivery teams

• Support opportunity‑to‑cash and delivery workflows through RPA and process automation initiatives

• Rapidly prototype and iterate on automation solutions in a developing, evolving environment

Tooling Flexibility & Innovation

• Operate with a tool‑agnostic mindset, focusing on fit-for-purpose solutions rather than specific vendors

• Evaluate and recommend new AI, ML, or automation tools where they add clear value

• Contribute to shaping HKA’s broader AI, data, and automation roadmap

Required Skills and Experience:

• 5+ years of hands‑on experience in applied data science, machine learning, or advanced analytics roles, with direct responsibility for delivery (not research‑only)

• Experience in Professional Services consulting, expert advisory, forensic, legal, or investigative environments, where outputs must be accurate, explainable, and defensible

• Proven experience working with large, unstructured, text‑heavy datasets (e.g., document review, investigations, disputes, or similar use cases)

• Expertise with Jylo strongly preferred, not required.

• Practical experience applying LLMs, NLP, or text analytics to real-world workflows such as document classification, relevance review, summarization, or issue tagging

• Hands‑on experience designing and refining automation or ML pipelines, from prototype through production use

• Strong Python‑based data science skills with the ability to work quickly, iterate, and troubleshoot independently

• A pragmatic, delivery‑focused mindset with the ability to translate ambiguous legal or business problems into structured, AI‑enabled solutions

What we offer:

HKA offers a salary between USD $120,000 - $150,000 with eligibility for our full benefits package, including but not limited to: 20 PTO days annually + Wellness Days & Company Holidays, Retirement Plan with company match, robust Health Insurance package, training and development programs, volunteer days and more.

At HKA we recognize that our people are critical to our ongoing success. Our priority is to provide an inclusive and collaborative culture aimed at providing the best opportunities for our people to thrive and develop in their chosen career path.

Our Global Recruitment team is committed to providing an authentic candidate experience for all those who take the time to apply to HKA. We are committed to providing an efficient and insightful recruitment process giving candidates a true reflection of life at HKA. 

Fairness and Equality at HKA:

HKA works hard to provide a welcoming environment for all of our employees. We are committed as a business on the continued improvement of our fairness and equality strategy. Please visit our careers page for further information or feel free to ask our recruitment team for further information.

All HKA employment decisions shall be made in accordance with controlling laws and based on merit.

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Department

IT

Locations

Philadelphia, PA, New York, NY, Washington, DC

Remote status

Hybrid

Employment type

Full-time

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