Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview.

We're trusted by over 100,000+ UK-based techies, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 

100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.

Industry: Technology, Information and Internet
Company Size: 51-200 employees

Haystack

Savvy Admin PROD

We're hiring on behalf of a Haystack partner!

The Role

• Support client and stakeholder relationships using technical knowledge and an analytical mindset.

• Research, develop, and test data methodologies to generate cross-functional solutions.

• Collect, interpret, and analyze large datasets to derive meaningful insights.

• Contribute to impactful work by guiding decision-making across multiple organizations.

• Simplify technical requirements and trends for various audiences by applying communication skills and data analytics experience.

• Present data findings and recommendations to clients and stakeholders using various analytics and visualization tools.

What You'll Need

• 8+ years of experience in data analysis, data engineering, or data science.

• 3+ years of experience designing, developing, operationalizing, and maintaining enterprise-scale data applications for reporting and analytics.

• 3+ years of experience with specific data platforms, such as Palantir Foundry.

• Experience with data visualization tools including Tableau, Qlik, or Power BI.

• Experience creating solutions within a collaborative, cross-functional team environment.

• A Bachelor's degree in Computer Science, Data Science, or Mathematics.

• Required security clearance and certifications.

What's On Offer

• Competitive annual salary ($77,500 - $176,000) plus comprehensive benefits package.

• Opportunities to work on mission-critical projects and contribute to data-driven solutions.

• Professional development, training, and tuition assistance programs.

• A collaborative environment that fosters growth and innovation.

Apply via Haystack today!

Senior Data Analyst

We're hiring on behalf of a Haystack partner!

The Role

• Design, build, and maintain complex data systems that facilitate data analysis and reporting.

• Ensure large datasets are efficiently processed and accessible for decision-making with minimal supervision.

• Develop and maintain streaming and batch data pipelines for seamless data ingestion, transformation, and storage.

• Build prototypes to test new concepts and implement data engineering frameworks to enhance processing capabilities.

• Collaborate with cross-functional data and analytics teams to gather requirements and ensure solutions meet partner needs.

• Review and optimize existing data systems and architectures for performance and scalability.

What You'll Need

• Minimum of 4 years of relevant work experience.

• Experience developing data systems on major cloud platforms (AWS, GCP, Azure).

• Hands-on experience building modern data architectures (data lakes, lakehouses) with ingestion, governance, and modeling capabilities.

• Proficiency in data ingestion tools and storage formats (e.g., Kafka, AWS Glue, Iceberg, Parquet).

• Experience developing data pipelines with streaming architectures and tools (e.g., Kafka, Flink).

• Advanced programming skills in Python, Java, Scala, or similar, with expert-level SQL proficiency.

What's On Offer

• Competitive annual salary.

• Opportunities to work with advanced engineering and cloud-based technologies.

• Engage with a global organization focused on sustainable practices.

• Contribute to solutions that impact billions of lives daily.

Apply via Haystack today!

Data Engineer

Edkey is an AI-powered education technology company building the intelligence layer between learning and career outcomes.

Founded by a team of former Edmodo executives and edtech veterans collectively serving over 140 million students and teachers worldwide. Edkey combines decades of experience across institutions including Stanford University, Redbird Advanced Learning, McGraw Hill, Discovery Education, and Edmentum. With more than 50 years of experience in educational product innovation, our team understands both the classroom and the future of work.

Our Mission

To empower students to transition fluidly from classroom to career — and back again — using AI to support continuous upskilling and advancement.

Our Core Products

QuickTakes

QuickTakes is an AI-powered study companion that transforms lectures into structured, personalized learning materials. Students can record live classes or upload audio, video, or YouTube links to automatically generate:
Lecture summaries
Study guides
Glossaries of key terms
Structured outlines
Lecture transcripts
Practice problems
Recommended videos

QuickTakes allows students to focus fully during lectures while AI handles the note-taking and knowledge organization — improving comprehension, retention, and performance.

careertakes

careertakes extends learning beyond the classroom by helping students translate their academic work into real-world opportunities.
Powered by AI, careertakes helps users build professional profiles, optimize resumes, and discover relevant job matches aligned with their skills and coursework. By connecting education to employability, careertakes bridges the gap between studying and getting hired.

The Edkey Vision

Education shouldn’t stop at note-taking. It should unlock opportunity.
Edkey is building an integrated ecosystem where AI supports students through every stage — from understanding lecture material to securing meaningful career outcomes.

From classroom to career — powered by AI.

Industry: Software Development
Company Size: 11-50 employees

edkey

**Role Overview**

Confidential client is hiring a Data Scientist to join a multidisciplinary actuarial and data science team focused on designing and delivering analytical insights that improve core actuarial processes. This role uses statistical modeling, machine learning, and data engineering to build and maintain loss models and other predictive solutions. The ideal candidate is experienced with Python and/or R, SQL, the end-to-end model lifecycle, and communicating results to technical and non-technical partners.

**What You’ll Do**

- Create statistical models, algorithms, and machine learning solutions to enhance traditional actuarial processes and loss modeling assumptions

- Apply Python and/or R to develop, maintain, and support production and research models across lines of business

- Design and implement end-to-end model lifecycle components: requirements, development, validation, deployment, monitoring, and documentation

- Extract and profile data using SQL and work with data engineering partners to ensure model-ready datasets

- Collaborate with actuaries, product partners, data engineers, and stakeholders to align technical solutions with business strategy

- Translate model results and limitations into clear presentations and actionable recommendations for non-technical audiences

- Contribute to long-term tools and frameworks that scale modeling and analytic capabilities

- Stay current with research and state-of-the-industry techniques, proposing innovations where they add business value

**Location & Work Arrangement**

confidential client offers a Hybrid or Remote arrangement depending on experience and role fit. Candidates living near an office (Columbus, OH; Chicago, IL; Hartford, CT; or Charlotte, NC) are expected to be in-office approximately 3 days per week (Tuesday–Thursday). Candidates not near an office may be eligible for a remote arrangement, with an expectation to come into an office as business needs require.

**Minimum & Preferred Qualifications**

- 2+ years of relevant industry or applied data science experience recommended

- Bachelor’s degree required; preference for Master’s in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a related analytical field

- Preferred: progress toward relevant actuarial or professional credentials (e.g., FCAS, FSA, CSPA)

- Hands-on experience in statistical modeling, inference, and building machine learning algorithms using Python and/or R

- Proficient in SQL and comfortable navigating relational databases to extract and transform attributes for modeling

- Familiarity with model deployment and reproducibility tools; experience with Unix, Git, Shiny, and R Markdown is a plus

- Demonstrated experience across the end-to-end modeling lifecycle (requirements, development, validation, monitoring)

- Strong written and verbal communication skills; able to present technical results to non-technical stakeholders

- Self-motivated, results-oriented, and effective as a collaborative team member with strong ownership of deliverables

- Candidates must be authorized to work in the U.S. without company sponsorship. confidential client will not support the STEM OPT I-983 Training Plan endorsement for this position.

**Compensation**

The annualized base pay range for this role is:

- $90,160 - $135,240

This range is primarily based on external market data. Actual base pay may vary based on experience, proficiency, demonstrated competencies, and other job-related factors. Total compensation may include additional elements such as bonuses, long-term incentives, and recognition programs.

**Equal Opportunity & Hiring Transparency**

CareerTakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, **AI tools may be used ** to assist with application review or resume screening. These tools **do not replace human decision-making **. Final hiring decisions are made by people.

- If you have questions about how your data is used, please contact us directly.

Data Analyst

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