At Motia, we’re at the forefront of fleet solutions, providing innovative services that power businesses across the UK. We’re committed to creating an environment where everyone can thrive. Our culture fosters collaboration, innovation, and growth, ensuring you can build a career, not just a job. With over 300 employees across five offices, we support over 55,000 customers nationwide.

About the role

Reporting to the Head of Business Intelligence, the Graduate Data Scientist will support the development of data-driven insights, predictive models, and analytical solutions that help improve business performance. This is an exciting opportunity for a recent postgraduate to apply advanced analytical techniques in a commercial environment while developing their skills alongside experienced data professionals.

The successful candidate will contribute to projects across marketing, sales, pricing, and customer analytics, helping the business make informed decisions and identify opportunities for growth as we migrate to Microsoft Fabric.

Please note that we are unable to offer visa sponsorship for this role, applicants must already have the right to work in the UK.

Duties & Responsibilities

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.

We are seeking a hands-on, highly skilled Senior Data Scientist to join our team in Atlanta, GA. In this role, you will work closely with enterprise clients in the Banking and Financial Services sector to design, develop, and deploy cutting-edge machine learning and predictive models. You will be responsible for translating complex financial business challenges into robust AI/ML solutions and writing clean, scalable code.

What you will be doing

Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.

We are small enough that you can make an impact within the company and large enough to make an impact in the market. Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

Do you love diving into data, solving complex problems with tech, and figuring out what really drives credit risk and customer behaviour? Are you equally skilled at balancing deep analytical thinking with pragmatic execution, and always delivering on time? If you’re ready to take your data science, advanced analytic skills, and knack for digging into the details to the next level, while leaving your mark on a rapidly growing organization, we want to hear from you!

At Motia, we’re at the forefront of fleet solutions, providing innovative services that power businesses across the UK. We’re committed to creating an environment where everyone can thrive. Our culture fosters collaboration, innovation, and growth, ensuring you can build a career, not just a job. With over 300 employees across five offices, we support over 55,000 customers nationwide.

About the role

Reporting to the Head of Business Intelligence, the Graduate Data Scientist will support the development of data-driven insights, predictive models, and analytical solutions that help improve business performance. This is an exciting opportunity for a recent postgraduate to apply advanced analytical techniques in a commercial environment while developing their skills alongside experienced data professionals.

The successful candidate will contribute to projects across marketing, sales, pricing, and customer analytics, helping the business make informed decisions and identify opportunities for growth as we migrate to Microsoft Fabric.

Please note that we are unable to offer visa sponsorship for this role, applicants must already have the right to work in the UK.

Duties & Responsibilities

GoMining is looking for a Data Analyst to join our Finance team and support financial planning, performance analysis, and strategic decision-making.


This position is ideal for someone who combines strong analytical thinking with solid financial understanding and can work confidently in a fast-paced, transaction-heavy fintech / crypto environment.

Responsibilities:

• Analyze financial data including revenue streams, cost structures, margins, and unit economics.
• Support budgeting, forecasting, and financial planning processes.
• Build and maintain financial dashboards and management reports using BI tools (Looker Studio, Tableau, Power BI).
• Develop financial models for revenue forecasting, scenario analysis, and profitability evaluation.
• Work with transaction-heavy datasets related to payments, crypto flows, mining rewards, digital assets, and platform fees.
• Monitor product and financial performance metrics ARPU, LTV, CAC, churn, contribution margin.
• Support P&L analysis across products and regions.
• Automate recurring financial reports and reporting pipelines.
• Ensure data consistency between finance, product, and operational systems.
• Prepare structured presentations and analytical summaries for CFO and executive team.

Requirements

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in forecasting models, including ARIMA, time series modeling, and PMPM forecasting, preferably within the healthcare domain. The ideal candidate will have a proven track record of designing, developing, and deploying scalable forecasting solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.

Key Responsibilities

Senior Data Engineer (Monitoring & Parameter Systems)

Location: Porto, Portugal (Full-Time)

Category: Engineering / Data Science

Compensation: $140K - $300K

We are on a simple mission: to make it possible for anyone with a digital wallet to trade stocks, commodities, currencies, and crypto with full transparency. We are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built entirely on-chain. Every trade, deposit, and withdrawal on our platform is verifiable through open, auditable code.

To date, we have raised $27.9M+ from top-tier investors including General Catalyst, Jump, Susquehanna (SIG), Alliance DAO, and Balaji Srinivasan.

We are seeking a Data Engineer (Monitoring & Parameter Systems) to architect and operate the analytics, observability, and parameter-proposal infrastructure that keeps our protocol safe and economically sound. You will serve as the critical bridge between protocol mechanics—such as fees, spreads, and liquidations—and production-grade data systems. Your mandate is to translate complex economic models into reliable pipelines and monitoring services that ensure the protocol remains healthy across all markets.

Responsibilities

We are looking for a Data Analyst who will work with marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to the development of analytical models and automation.

Responsibilities

• Analyze marketing and product data to identify trends, patterns, and opportunities for optimization.
• Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI).
• Participate in building analytical and forecasting models based on product, financial, and behavioral data.
• Prepare technical documentation and maintain data dictionaries for the analytics function.
• Support automation of analytical processes, reporting pipelines, and recurring workflows.
• Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment.
• Present insights to stakeholders in a structured, clear, and actionable format.

Requirements

About the Role

We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries.

What We're Looking For

We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills.

What You'll Do

• Design and implement statistical models and machine learning algorithms to detect fraudulent patterns.
• Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications.
• Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals.
• Collaborate closely with engineering and product teams to bring data science solutions into production.
• Shape the intelligence layer of our platform by applying thoughtful experimentation and model evaluation techniques.

Requirements