The Data And AI Podcast

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Title: Senior Data Engineer

Location: Remote (Must be based in EST/CST)

Pay: $150K-$180K + Equity

Overview:

An emerging AI-driven technology company is seeking a Senior Data Engineer to own and operate the data infrastructure that powers their core products. This organization builds advanced systems enabling real‑time decisioning, predictive analytics, and large‑scale data processing for enterprise clients. This role blends backend engineering, cloud infrastructure, and data platform development building highly scalable systems end to end.

Responsibilities:

• Design, build, and operate production data services and APIs in a cloud environment using containerized applications
• Implement and scale vector search capabilities supporting high‑volume similarity retrieval across 50M+ records
• Build and optimize data pipelines and ETL/ELT workflows using Python, SQL, and Databricks
• Architect cost‑effective cloud infrastructure supporting real‑time and batch workloads
• Collaborate cross‑functionally with data science and product teams to translate requirements into scalable solutions
• Own monitoring, observability, and service reliability for key data‑driven systems
• Improve internal tooling, infrastructure components, and engineering best practices

Must-Have Qualifications:

• 5+ years in data engineering, backend engineering, or platform infrastructure roles
• Strong hands‑on experience with AWS (EKS, S3, RDS, Lambda, IAM, SQS/SNS)
• Proficiency deploying and troubleshooting containerized applications on Kubernetes
• Production-grade Python and SQL experience
• Hands-on experience with Databricks (Delta Lake, Jobs, Workflows)
• Experience working with vector databases or vector search technologies (Milvus, Databricks Vector Index)
• Familiarity with CI/CD, Docker, Helm, and infrastructure-as-code (Terraform or CloudFormation)

To Apply for this Job Click Here

To Apply for this Job Click Here

Staff Data Scientist

Location: New York City (Hybrid)

Compensation: Up to $250,000 base + bonus + equity

Company Overview

A high-growth consumer fintech and e-commerce platform is building the credit infrastructure powering digital commerce in a large, underserved market. The business has reached profitability, processes hundreds of millions in annual transaction volume, and continues to scale rapidly with strong backing from top-tier investors.

The team is lean, highly technical, and composed of leaders from globally recognized technology and marketplace companies. This is an opportunity to join at a pivotal stage and directly influence core revenue-driving systems.

The Role

As a Staff Data Scientist, you will play a critical role in developing and deploying machine learning models that directly impact the company’s P&L. You’ll work across credit risk, pricing, and marketplace optimization problems, owning the full lifecycle from problem definition through to production.

This is a highly cross-functional role partnering with engineering, product, and leadership to drive data-informed decisions and scalable modeling solutions.

Key Responsibilities

• Build and deploy machine learning models for underwriting, credit risk, and portfolio optimization
• Develop pricing, ranking, and personalization algorithms to improve marketplace performance
• Apply causal inference and experimentation techniques to optimize decision-making
• Own projects end-to-end: from exploratory analysis and modeling through to production deployment
• Translate complex modeling outputs into clear business insights and recommendations
• Collaborate closely with engineering and product teams to operationalize models

Requirements

• 5+ years of experience in data science or machine learning in a production environment
• Strong foundation in statistical modeling and machine learning (e.g., classification, ensemble methods)
• Experience deploying models into production and iterating based on real-world performance
• Proficiency in Python and SQL
• Experience with experimentation, causal inference, or uplift modeling
• Strong problem-solving skills with the ability to operate in ambiguous, fast-paced environments

Preferred Background

• Advanced degree (PhD or Master’s) in a quantitative field such as Statistics, Mathematics, Economics, or Operations Research
• Experience in fintech, lending, or credit risk modeling
• Exposure to marketplace, pricing, or recommendation systems
• Familiarity with optimization techniques and constrained modeling problems

What Makes This Opportunity Unique

• Direct ownership of models that impact revenue and risk
• High visibility role working closely with senior leadership
• Fast-paced, startup environment with significant autonomy
• Opportunity to shape core data science strategy and systems

• If you’re excited by building high-impact machine learning systems in a fast-moving environment and want to see your work directly drive business outcomes, this is a unique opportunity to do so at scale.

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To Apply for this Job Click Here

Data Engineer

Location: San Francisco, CA Type: Full-Time | Hybrid (4-5 days onsite) Compensation: $250,000 – $350,000 OTE

The Opportunity

We are recruiting on behalf of a premier global technology investment firm with a 26-year track record of delivering market-leading returns. With over 200 employees across San Francisco, New York, and London, our client operates with a flat, entrepreneurial culture.

This is a rare opportunity to join a small, high-impact data organization as a core member. You will work directly with the Head of Data to build the firm’s foundational data infrastructure from the ground up, transitioning fragmented data into a sophisticated, AI-driven investment engine. This is not a “maintenance” role; you will be building production-oriented systems that directly influence investment decisions.

Note: This role does not support sponsorships

The Mission

Your goal is to turn massive volumes of fragmented firm data-ranging from deal pipelines and board materials to alternative datasets like web traffic and labor market trends-into structured, usable systems. You will build the pipelines and architecture that enable the firm to leverage AI and automation across the entire investment lifecycle.

Key Responsibilities

• Architect & Build: Design and maintain robust data pipelines from diverse structured and unstructured sources (CRM, emails, IC materials, third-party vendor data, etc.).

• Infrastructure Ownership: Implement and manage a modern data stack centered around Snowflake and AWS.

• AI Integration: Develop scalable systems that support downstream analytics and “agentic” AI workflows to automate complex investment processes.

• Engineering Judgment: Use AI-assisted coding tools (e.g., Claude Code) to accelerate development while applying high-level engineering judgment to evaluate and refine output.

• Cross-Functional Collaboration: Act as a technical partner to the CTO, Operating Team, and Investment Professionals, translating complex technical concepts into actionable insights.

The Tech Stack

• Cloud/Data: AWS, Snowflake, Fivetran

• Applications: Salesforce (transitioning to Dynamo), ChatGPT, Claude / Claude Code

• Languages: Heavy emphasis on Python and SQL

Candidate Profile

We are looking for an entrepreneurial engineer who thrives in “Series A through C” startup environments-someone who enjoys building from 0 to 1 rather than maintaining legacy systems.

Must-Haves:

• Experience: 2-4+ years in Data Engineering or Analytics Engineering with a focus on production-grade pipelines.

• Technical Mastery: Strong proficiency in Python and SQL.

• Architectural Intuition: Solid understanding of cloud data platforms (Snowflake/AWS) and data modeling.

• Communication: Ability to engage actively with senior partners; you are a consultant and collaborator, not a “ticket taker.”

Nice-to-Haves:

• Exposure to AI/ML workflows or building feature pipelines.

• Familiarity with financial datasets (EBITDA, market data) or vendors (Bloomberg, S&P).

• Experience in a fast-paced startup or internal platform team.

Culture & Environment

• In-Person Collaboration: There is a strong preference for onsite work (4-5 days per week) to facilitate mentorship and idea sharing, particularly during the first phase of the build.

• Autonomy: The firm operates on a “trust-based” model-no rigid 9-5, but you must be comfortable interfacing with PST/SF HQ and flexing hours for urgent partner requests.

Compensation & Benefits

• Total Cash: $250,000 – $350,000 (comprising a high $100K base + significant performance-based bonus).

• Benefits: Comprehensive medical/dental/vision (Cigna), family planning, and wellness/gym subscriptions.

• Time Off: Unlimited PTO policy (standard usage is ~3 weeks).

• Retirement: 401(k) enrollment.

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To Apply for this Job Click Here

Senior Backend Engineer

£70,000 – £90,000

Shirebrook, Mansfield (3x a week)

This is an opportunity to join a large-scale digital engineering environment where backend systems power multiple high-traffic websites and mobile applications.

THE COMPANY

They are a well-established organisation operating at significant scale, with a strong focus on digital transformation and innovation. Technology sits at the heart of how they deliver customer experiences, and engineering teams are encouraged to think creatively and challenge existing approaches.

THE ROLE

As a Senior Backend Engineer, you will Design, build, and maintain scalable backend services and APIs within a cloud-native microservices environment to support high-traffic digital platforms.

Specifically, you can expect to be involved in the following:

• Design, build, and maintain scalable backend services within a microservices architecture.
• Develop high-quality APIs using GraphQL and REST to support web and mobile applications.
• Work closely with product, frontend, and platform teams to deliver end-to-end solutions.
• Contribute to code quality, performance, and reliability through best engineering practices.
• Support and improve CI/CD pipelines and DevOps ways of working.
• Translate business requirements into robust technical designs and well-documented solutions.

SKILLS AND EXPERIENCE

The successful Senior Backend Engineer will have the following skills and experience:

• Strong commercial experience with TypeScript and Node.js.
• Proven ability to build and maintain microservices-based systems.
• Experience designing and consuming GraphQL and REST APIs.
• Solid understanding of SQL and NoSQL databases.
• Good knowledge of the full software development lifecycle, including testing and automation.
• A collaborative mindset and passion for building scalable, maintainable system

BENEFITS

The successful Senior Backend Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Frontend Engineer

£70,000 – £90,000

Shirebrook, Mansfield (3x a week)

This is an opportunity to take real ownership of front-end engineering at scale, shaping high impact digital experiences used by millions. You will work on complex, customer-facing platforms while influencing technical direction, standards, and best practice across multiple products.

THE COMPANY

They are a large, digitally driven organisation undergoing significant transformation across their online and mobile platforms. Technology sits at the heart of how they engage customers, with a strong focus on performance, usability, and modern architecture.

THE ROLE

As a Senior Frontend Engineer, you will drive the design and delivery of scalable, high-performance front-end solutions while setting technical standards and mentoring across the product teams.

Specifically, you can expect to be involved in the following:

• Take technical ownership of front-end architecture, including component design, state management, and application structure.
• Build complex user interfaces using frameworks such as React, Next.js, and TypeScript.
• Partner with product, design, and content to shape solutions from discovery through to delivery.
• Lead by example through code reviews, mentoring, and knowledge sharing.
• Contribute to API driven platforms, working with GraphQL, REST, and Node.js where needed.

SKILLS AND EXPERIENCE

The successful Senior Frontend Engineer will have the following skills and experience:

• Strong commercial experience delivering front end solutions in large scale production environments.
• Deep expertise in JavaScript and TypeScript with modern front-end frameworks.
• Solid understanding of web performance, accessibility standards, and responsive design.
• Experience working across the full development lifecycle, including CI/CD and automated testing.
• Confident communicator who enjoys collaborating across disciplines.

BENEFITS

The successful Senior Frontend Engineer will receive the following benefits:

• Salary between £70,000 – £90,000 – depending on experience

HOW TO APPLY

Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Credit Risk Analyst

Salary
£55-£70k

Location + work pattern
London | Hybrid working (Ususally Tuesday-Thursday in the office)

THE COMPANY

• A fast paced, highly data‑driven FinTech operating across multiple consumer lending products.
• Established player with a strong market reputation, long‑term profitability, and continued international expansion.
• Known for combining commercial thinking with advanced analytics to drive growth.

THE ROLE

This is a broad, commercially focused credit risk role sitting within a core UK product area that is performing strongly. You’ll work on a wide range of analytical and strategic projects, partnering closely with senior stakeholders.
Specifically, you can expect to be involved in:

• Developing and optimising credit and lending strategies across the customer lifecycle, with a focus on acquisition.
• Building and refining NPV and pricing models to support commercial decision making.
• Implementing analytical outputs into live credit strategies and policies.
• Delivering wider analysis on customer behaviour, portfolio performance, product growth, and emerging trends.

YOUR SKILLS AND EXPERIENCE

• Strong academic background with a solid grounding in quantitative analysis (Russell Group University with a STEM degree is required)
• Experience within a data‑led environment such as FinTech, InsurTech, or another analytically rigorous consumer business.
• Exposure to developing lending strategies or providing insight that informs business or credit decisions.
• Strong SQL capability; experience using Python is advantageous.
• Typically 1-2+ years’ relevant experience, with evidence of progression or increased responsibility.

THE BENEFITS

• Competitive base salary within the £55-£70k range.
• Attractive long‑term incentive through share options.
• Hybrid working model with a collaborative London office environment.
• Opportunity to work in a high‑growth, product focused FinTech with strong career development.

THE PROCESS

• Online analytical case study focusing on numerical and problem solving skills.
• On‑site interview including a business case discussion and technical/competency assessment.
• Final office visit with senior stakeholders and the wider team.
• Offer!

HOW TO APPLY

Please register your interest via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Product Manager
UK Remote First
Salary up to £105,000

This is a high impact Senior Product Manager role where you will shape and elevate a growing product function at the heart of life sciences innovation. You will own the product direction end to end, influence senior stakeholders, and ensure products deliver real value to customers working on complex drug discovery challenges.

The Company
They are a venture backed, high growth technology organisation operating at the intersection of life sciences, data science, and AI. Their platform helps scientific teams unlock insights from vast volumes of complex data to support better decision making in drug discovery. The business brings together product, engineering, and scientific expertise in a collaborative, low ego environment focused on meaningful outcomes.

The Role

• Own and evolve a clear, outcome driven product strategy and roadmap aligned to business goals.
• Build a deep understanding of customer needs through continuous discovery and market insight.
• Lead go to market planning for new products and major releases, working closely with commercial teams.
• Translate strategy into clear priorities for engineering and stakeholders across the organisation.
• Track product performance against commercial and customer impact metrics.
• Mentor and support other Product Managers, raising standards and maturity across the function.
• Introduce modern product practices, frameworks, and ways of working to drive continuous improvement.

Your Skills and Experience

• Strong commercial product management experience within life sciences, biotech, pharma, or healthcare technology.
• Proven ability to define and execute product strategy in scaling or evolving organisations.
• Deep experience in customer discovery, validation, and data informed decision making.
• Confidence working closely with engineering teams in agile environments.
• Ability to influence senior stakeholders and lead without formal authority.
• Excellent communication skills, able to simplify complex scientific and technical concepts.

How to Apply
Apply now to learn more about this Senior Product Manager opportunity in life sciences and AI driven product development.

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