**_We at Allen & York are incredibly excited to be partnering with Water Resources East to support recruitment of this very important role._Data Analyst – nature recovery and water resources**

Permanent contract: Full time, 37 hours per week, with possibility for flexible working hours

Location: Home-based, with occasional trips to London and Eastern England

Attractive benefits package: 26 days annual leave increasing up to 30 days, bonus scheme, pension scheme, health and wellbeing benefits

**The Opportunity**

Water Resources East (WRE) is looking for a new team member with a passion for data and everything that’s made possible when quality data is put to work and is accessible by the right people. The successful candidate will support WRE’s Technical Director and technical team to develop the next Regional Water Resources Plan for Eastern England, and put data and data insights at the heart of a programme of catchment-scale Environmental Destination investigations – a key element of the water sector’s Water Industry National Environment Programme (WINEP) for the 2025 – 2030 period.

The WRE team is home-based but meets at least monthly in Cambridge, Huntingdon or London.

**About Water Resources East**

Water Resources East (WRE) is the independent, not-for-profit membership organisation tasked under the _National Framework for Water Resources_ to produce a multi-sector, long-term regional water resources plan for Eastern England. WRE published its Regional Water Resources Plan in December 2023, and a progress report in January 2025.

**The role**

As a Data Analyst you will work with the wider team and stakeholders to create, improve, manage and share environmental and water resources data sets. Your work will be central to developing a shared understanding of the scale of the water resources challenge resulting from our ambitions to improve the resilience of and enhance the water environment, while building resilience to climate change across water-using businesses and the rural economy.

The Data Analyst will:

*   Act as WRE’s central point of contact on data matters for key technical leads at the Environment Agency, our Water Company members and other stakeholders.
*   Act as WREs’ data custodian, sitting at the heart of our new centralised data management and workflow system to be developed later this year. This will include management of data quality checks and tight version control procedures.
*   Ensure that WRE's data management complies with third party data licencing requirements. This will involve working with WRE's legal support and WRE management.
*   Manage and develop GIS datasets and their partners' use of it to support catchment-level and regional multi-sector water resources planning. This might include working with the wider technical team and consultants on new visualisations, interactive tools and other products such as online ESRI story maps.
*   Manage existing, and create new online dashboards and visualisations (for example Progress Report Data Dashboard) using Power BI or other suitable tools.
*   Work with data and GIS leads at the Rivers Trust and the Environment Agency to build on WRE’s ambitions to make as much data publicly accessible as possible.
*   Support/lead the collation and visualisation of data for next Annual Progress Report.
*   Support WRE’s SharePoint management and other data sharing platforms.
*   Work with the Environment Agency and WRE Stakeholder Lead to make best use of data outputs from national screening tools to develop greater cross-sector understanding of the nature of water resources challenges and how they differ across catchments and for different types of businesses.
*   Use and draw insights from new catchment and water resources systems models.
*   Facilitate catchment stakeholders to develop solutions to their water challenges through provision of data, access to tools and provision of expertise.
*   Support WRE’s developing understanding of the benefits of Nature-based Solutions alongside Norfolk Water Management Strategy through better data management and sharing.

**About you:**

WRE’s Data Analyst will:

*   Have relevant experience gained in either a professional or research setting.
*   Have experience managing large datasets across disciplines and managing quality, version control and sharing.
*   Be numerate and comfortable working with data, and be able to present data logically using a variety of approaches.
*   Have a good understanding of IT including Microsoft packages such as Excel, SharePoint, and Teams
*   Have the ability to develop, follow and maintain procedures to ensure the accurate maintenance of technical workflows.
*   Have impeccable attention to detail and organisational skills.
*   Be methodical with strong problem-solving skills and the ability to work using your own initiative.
*   Have experience using Power BI and/or other data visualisation software
*   Have GIS experience – they currently use ESRI ArcGIS

**The following would be an advantage** but are not essential.

*   Have an understanding of current challenges surrounding water quality and water resources in Eastern England.
*   Have skills or proven experience of managing projects.
*   Have experience in programming and app development.
*   Have experience supporting the delivery of technical projects through data interpretation, reporting, and presenting data (written and orally) to technical and non-technical audiences.
*   Have experience liaising with those working outside of your immediate area of expertise as part of a multi-disciplinary team.

**Water Resources East is an Equal Opportunity Employer**

WRE believes that equal opportunity means inclusion, diversity and fair treatment for all. Their commitment to diversity and inclusion includes the recognition that the work and the success of the organisations is best advanced by the leadership and talent of people drawn from diverse backgrounds and cultures.

They are passionate and committed to the learning and development of their people, making sure team members have the right skills and knowledge to be successful and to help achieve their potential. They take the health, safety and wellbeing of their colleagues very seriously in everything that they do.

They offer an attractive benefits package, including:

*   26 days annual leave, increasing to 30 days per year of service, plus bank holidays
*   Bonus scheme
*   Employer pension contributions up to 12%
*   Full health insurance
*   Flexible working hours
*   Monthly in-person team meetups
*   Ongoing training for professional development

For more information regarding this opportunity please contact Michelle: mluck@allen-york.com

About us: Allen & York have been matching purposeful people with purpose-led organisations for 30 years. We partner with our clients and candidates on roles that build an understanding of climate change, promote sustainability and create inclusive and responsible organisations, working towards a sustainable world for us all. Committed to inclusiveness in the workplace, we aim to increase diversity across all areas and therefore welcome applications from all qualified candidates, regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, or whether or not they have a disability. Let’s help build a better world, together.

Data Analyst - Water Resources

**About Us** Climate Arc (Arc) is a philanthropic organization working to accelerate climate transitions in the real economy by unlocking the trillions of dollars of private capital required to meet global goals. We ensure that financial decision makers have the tools, data, and skillsets needed to direct capital to the necessary solutions at speed and scale. Arc implements its strategy through grantmaking and proprietary products and programs delivered by our in-house capability. **About The Opportunity** On ‘Data', Arc funds entities that produce raw data and analytics for thousands of entities globally, anchored in climate science, modelled on open access, and enabling a level playing field. Additionally, Arc aggregates the output in a common database that allows for comparability and contextualisation to ensure they are decision-leading and can be absorbed into the financial sector systematically. Climate data and analytics must be open and accessible to allow for financial innovations and to create a solid foundation to shift to the net zero future. We make data available for sectors and regions which are not yet attracting financing at scale. Arc is now looking for a driven Data Engineer to support the design, build and maintenance of our data warehouse. You will work closely with our Research and Program team as well as end users and other stakeholders at every stage of the process. **Role And Responsibilities**

*   Analyse and organize raw data
*   Build data systems and pipelines in collaboration with the Data Architect
*   Interpret trends and patterns
*   Conduct complex data analysis and report on results
*   Prepare data for prescriptive and predictive modelling
*   Build algorithms and prototypes
*   Combine raw information from different sources
*   Explore ways to enhance data quality and reliability
*   Identify opportunities for data acquisition
*   Develop analytical tools and programs

**RequirementsAbout youRequired**

*   You have previous experience as a data engineer or in a similar role
*   You understand the concept of managing data pipelines as code and have experience with git, CI/CD
*   You can collect, collate, cleanse, synthesise and interpret data to derive meaningful and actionable insights
*   You have technical expertise with data models & data mining and translate data into valuable insights that inform decisions
*   You have experience with major cloud platforms, Google Cloud, Microsoft Azure or AWS (Google Cloud preferred)
*   You have deep understanding of SQL and data processing tools like dbt and are comfortable working with data visualization tools (e.g. Tableau)
*   You have been working with cloud data warehouses like Snowflake, Redshift, Big Query and can build data processing products in python

Desirable

*   You have experience with financial databases e.g., Bloomberg, Refinitiv Eikon, Capital IQ
*   You have an understanding of green software practices, data mesh, master data management
*   You can communicate effectively across organisational, technical and political boundaries, understanding the context
*   You can design, write and iterate code from prototype to production-ready
*   You can effectively translate and accurately communicate across technical and non-technical stakeholders
*   You can develop fit-for-purpose, resilient, scalable and future-proof data services to meet user needs
*   You have a degree in Computer Science, IT, or similar field or equivalent experience

**BenefitsLocation** For this role we can offer a remote-first working option and are open to locations across the UK and Europe. **Salary And Benefits** The salary range for this role will be determined based on the candidate's location within the UK or Europe, in line with Climate Arc's Reward Framework and local market benchmarking. In addition to the base salary, we offer a comprehensive benefits package that includes, but is not limited to:

*   Generous paid time off
*   Health and wellbeing program
*   9% employer contribution to retirement planning
*   Enhanced family pay and leave policies
*   Professional learning & development program
*   Professional membership paid (if applicable)
*   Nomad working policy

As well as the tangible items above, we are building a culture of trust and collaboration where we have confidence our team members will get the job done and meet the deadlines and expectations of their roles. **To apply** Please complete the Application Form including attaching an up-to-date CV as well as answering the application questions (both in English). We intend to close the advert for this role on **Friday 1st August** but depending on the level of response we may close it prior, so we encourage you to submit your application sooner than later. The application and assessment process will involve the following:

*   Application review (applications that do not answer the application questions will not be considered)
*   1st round interview: Recruiting Manager (30 to 45 minute MS Teams video call)
*   Offline task (1 to 1.5 hours)
*   Formal interview (over MS Teams) with the Hiring Manager and panel (1 hour)

Data Engineer (open to the UK and Europe)

**We Are Redefining How People Approach Their HealthZOE** is the science and nutrition company leading a movement to transform the health of millions. We exist because the food we eat is making us sick. Most of what we are taught about food is wrong. ZOE runs the world’s largest nutrition science study to find scientifically proven solutions. Our randomised controlled trial of ZOE proves that if you eat the right food for your body, you can feel healthier in weeks and be on track for more healthy years. ZOE can change the way you eat, feel, and live. We host world-leading scientists on our podcast and bring proven science to your plate with Daily30+, our 30+ plant supplement. Over 100,000 people rely on ZOE Membership, our personalised nutrition program, to make smarter food choices. ZOE Membership turns complex science into clear step-by-step actions, helping you improve your health with every meal. ZOE means life — and you can change your life with food. Visit our career page and become a ZOEntist 🚀 **🚀 The Role** As a **Senior Product Data Analyst** , you will be the **analytical backbone** of our product teams, transforming raw behavioural data into powerful insights that shape strategy, roadmap and user experience. You’ll take part in designing and building the **end-to-end data workflow** —from working with engineers to instrumenting events, modelling data in dbt, and delivering clear, compelling narratives that empower us to **#ActFast on :70 % evidence** . We believe that most decisions are reversible, so we value smart risks and rapid iteration. **👥 The Team** At ZOE, we're on a mission to empower people with the most advanced science and technology to transform their health. Our Product Analytics team plays a central role in this mission, turning data into insights that shape product strategy and drive high-impact decisions. We collaborate with product managers, designers, engineers, and scientists to ensure that every feature we build improves the experience and outcomes for our members. By leveraging data and experimentation, we continuously refine our products to deliver meaningful value and measurable health improvements. The team is composed of four members with a mix of analytics engineering and data analysis skills, and we also work closely with data scientists. **🎯 What You’ll Be Doing**

*   Design and iterate on core product metrics (user activation, retention, engagement, and monetisation), ensuring they are accurate, timely, and reliable
*   Build and maintain lightweight, test-covered ELT pipelines (Fivetran → BigQuery → dbt → Hex) that make clean data accessible to everyone
*   Prototype analyses in SQL/Python, starting with the simplest approach and layering complexity only when it materially sharpens the answer.
*   Partner with Product Managers to plan A/B tests, quantify opportunities, and identify friction points in the user journey.
*   Ship dashboards and ad-hoc decks that persuade—clarity and narrative first, visuals and stats in service of the story.
*   Champion a product-mindset culture: ask “so what?” on every query, translate findings into actionable next steps, and iterate quickly when the market proves us wrong.

**🧠 What You’ll Bring To The Table**

*   Have 5 + years of professional experience in data analytics. Hold a bachelor’s (or advanced) degree in a quantitative field, e.g., Stats, Maths, CS, Physics, Engineering, or Economics.
*   Enjoy tackling \*\*\*\*open-ended questions and finding elegant, unexpected solutions. You combine intellectual curiosity with a creative approach to problem-solving.
*   Are fluent in SQL and comfortable coding in Python; you’ve touched dbt or other data transformation tools, or you’re a quick learner.
*   Have handled real-world data messiness before (missing events, conflicting definitions) and know how to get to “good enough” without getting stuck.
*   Treat statistics as a power tool, not a party trick—confident with basic stats and able to recognise when fancier models are (or aren’t) worth it.
*   Thrive in an early-stage environment with high ownership, tight deadlines, and rapid iteration. You're comfortable with less process and enjoy seeing fast feedback loops.
*   Thrive in early-stage environments: little process, high ownership, tight deadlines, rapid iteration, and feedback loops measured in days.
*   Communicate crisply—whether writing a one-pager for leadership, debating trade-offs with engineers, or walking non-technical teammates through a funnel drop-off chart.
*   Live our #ActFast value—you’re happy to move on :70 % evidence because speed beats perfection in a startup. You recognise most calls are reversible, avoid reinventing the wheel, take smart risks, and pivot quickly, knowing the team has your back.

**✨ Our Hiring Journey**

*   👋 Talent Acquisition Screen – 30 to 45 mins

A friendly intro chat with our Talent team to learn about your background, skills, and what excites you about ZOE and this role. Feel free to ask any questions about the team, culture, or next steps.

*   🧠 Hiring Manager Technical Screen – 45 mins

A deep dive with the hiring manager to discuss your experience working with data and analytics, the impact you’ve had, and how you solve complex problems with metrics and storytelling. Come ready to share examples and insights!

*   💻 Live Technical Assessment – 90 mins

A hands-on session with a Data Scientist and Data Analyst where you’ll work through a real-world analytics challenge. We’ll explore your SQL and Python skills, problem-solving creativity, and ability to turn data into a compelling narrative.

*   🤝 Cross-Functional Interview with Product Team – 45 mins

Join our product team to chat about how you partner with product managers, engineers, and designers. We’ll talk collaboration, experimentation (think A/B tests!), and how you turn data insights into actionable product improvements.

*   💬 Final Values & Leadership Interview – 45 mins

A conversation with our Senior Data Science and Analytics Managers focusing on your leadership approach, communication style, and how you live our #ActFast value — embracing smart risks and rapid iteration in a fast-paced environment.

*   🎉 Offer Stage

We move quickly and keep the process clear and supportive. If you’re the right fit, you’ll receive an offer along with a warm welcome and next steps to join the ZOE mission. The experience, skills, and attributes listed above reflect what we believe will contribute to success in this role. If you're passionate about ZOE and the opportunity, but don't meet 100% of the criteria, we still encourage you to apply. We are committed to supporting growth and are happy to offer up-skilling opportunities where possible. **Remote Philosophy** ZOE is a remote-first company, meaning remote work isn’t just an option — it’s how we work best. We are intentional about building a distributed, high-performing team where collaboration, trust, and flexibility thrive. We design our workflows around asynchronous communication and shared documentation to support autonomy, focus, and cross-timezone collaboration. While our teams work independently, connection and teamwork remain central to how we operate — through regular rituals, meaningful virtual interactions, and in-person gatherings every quarter. These include team offsites and a yearly company-wide retreat to build relationships, spark creativity, and have fun together. Being remote-first also means we value outcomes over hours and trust our team members to manage their work in a way that suits their unique rhythm and responsibilities. This approach allows us to support a truly flexible work environment, while staying aligned with our mission and values. At ZOE, working remotely doesn’t mean working alone — it means being empowered, supported, and connected, wherever you are. **Compensation Philosophy** We are committed to offering competitive and equitable compensation that reflects the value of each role and aligns with regional labor market standards. Our approach to compensation goes beyond just base salary — we offer a comprehensive package that includes base pay and stock options, ensuring that every team member is rewarded for their contributions to the company’s growth and success. We believe that building a thriving team requires not only providing fair and competitive compensation but also fostering an environment where success is shared collectively. Our total compensation package is designed to support the well-being of our employees, recognise their individual contributions, and empower them to grow alongside ZOE. **Benefits & Perks** We understand the significant role our benefits play in motivating, inspiring and safeguarding our employees' well-being. Our benefits strategy is thoughtfully designed to echo our mission and values, recognising the diverse needs arising from different life stages of our ZOEntists. Our approach to benefits takes an inclusive and flexible view of both personal and professional growth. From competitive health insurance and wellness packages to inclusive parental policies, building connection, and tailored professional development programs, we've got you covered. At ZOE, we continue to build a benefits package that invests in our team members’ long-term personal and professional growth and wellbeing, adding to this list as it evolves. **Equal opportunities** We are committed to fostering a diverse and inclusive team where every individual can bring their authentic self to work. We believe that this is key to our success and are dedicated to positively impacting the tech industry. As part of our commitment to equal opportunities, we encourage candidates from underrepresented backgrounds to apply. We ensure a respectful and inclusive environment for all and do not discriminate on the basis of race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, marital status, disability, or age. If you require any accommodations during the interview process, please feel free to inform us, and we will make every effort to support your needs.

Senior Product Data Analyst

**Business Analyst - SaaS - Remote - £50,000**

Are you an **Business Analyst** with a passion for defining and shaping innovative SaaS solutions? Do you thrive on bridging the gap between business needs and technical execution - ensuring products are intuitive, impactful, and market-ready?

A leading UK-based SaaS company is looking for a **Business Analyst** to help deliver best-in-class project scheduling solutions for the construction and project management sectors. This is a fantastic opportunity for someone passionate about technology, process optimisation, and user experience to make a real impact in a fast-moving, collaborative environment.

🔍 What You’ll Be Doing:

*   Own and manage the product backlog, ensuring alignment with customer needs and business goals
*   Work closely with stakeholders including customers, sales, developers, UX designers, and QA teams
*   Translate business requirements into clear, actionable user stories and deliverables
*   Facilitate effective communication between development teams and business stakeholders
*   Support planning and task scheduling across product releases
*   Gather and analyse feedback, usage data, and market trends to inform product decisions
*   Ensure high-quality delivery through detailed documentation, test case definition, and continuous process improvement

🧠 What You Bring:

**Essential:**

*   Proven experience as a Business Analyst in a software development environment
*   Familiarity with Agile development and collaboration with technical teams
*   Ability to translate complex business needs into clear product requirements
*   Strong analytical and problem-solving skills; data-driven decision-making
*   Excellent communication skills with confidence working across business and tech teams
*   Experience with backlog management, planning, and stakeholder engagement
*   Working knowledge of Azure DevOps or similar development tools

**Desirable:**

*   Experience with project management or construction tech software
*   Understanding of Gantt charts, critical path analysis, and resource planning
*   Familiarity with tools like Jira, Confluence, or similar product management platform

Business Analyst

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We are searching for a talented Data Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/ Learn more about our team culture here: https://www.stackadapt.com/careers/data-science Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK for this position. **What you'll be doing:**

*   Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
*   Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
*   Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

**What you'll bring to the table:**

*   Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
*   Have the ability to take an ambiguously defined task, and break it down into actionable steps
*   Have a comprehensive understanding of statistics, optimization and machine learning
*   Are proficient in coding, data structures, and algorithms
*   Enjoy working in a friendly, collaborative environment with others

**StackAdapters enjoy:**

*   Competitive salary
*   Private Medical Insurance cover
*   Auto-enrolment into the company pension scheme
*   Work from home reimbursements
*   Coverage and support of personal development initiatives (conferences, courses, etc)
*   An awesome parental leave policy
*   A friendly, welcoming, and supportive culture
*   Our social and team events (virtually!)
*   Take part in our walk and wander policy and work anywhere in the world for up to 90 days a year

If this role speaks to you then please submit an application - we'd love to speak with you. Due to a high volume of interest, only those shortlisted for interview will be contacted. _StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know._ **About StackAdapt** We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024 G2 Top Software and Top Marketing and Advertising Product for 2024 Campaign’s Best Places to Work 2023 for the UK 2024 Best Workplaces for Women and in Canada by Great Place to Work® #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising

Data Scientist

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. **Responsibilities:**

*   Investigate customer activities to detect money laundering and other potential risks
*   Proactively identify unusual activity occurring on-chain and on the Binance platform
*   Conduct investigations into unusual on-chain transactions and customer profiles
*   Perform in-depth on-chain reviews and investigations utilizing leading tools, including Chainalysis, TRM Labs, and Elliptic
*   Conduct reviews using on-chain data provided by open-source on-chain analytics tools, including Etherscan, Mempool, etc
*   Write and develop succinct and complete reports summarizing unusual activity and mitigating risk
*   Identify trends in abnormal or malicious activity in order to map out networks of bad actors
*   Conduct detailed open source research to identify data vital to furthering investigations or due diligence initiatives utilizing leading tools, including Flashpoint

**Requirements:**

*   Bachelor’s degree in finance, computer science, or criminology from an accredited institution
*   2+ years of experience in AML/CTF investigations within a fintech or cryptocurrency company
*   Advanced experience with blockchain monitoring/analytics tools such as Chainalysis, Elliptic, TRM, etc
*   Experience researching and analyzing cyber-crime, especially if financial in nature, and familiarity with cybercriminal organizations and tactics
*   Ability to conduct network analysis efficiently datasets and create diagrams depicting illicit networks
*   Analytical problem solver with extensive experience in compliance functions
*   Ability to navigate through ambiguity in a fast-paced, dynamic environment
*   Self-starter: take initiative, be dedicated, and be creative to achieve team goals. Be laser-focused on developing tools to maximize efficiency and value
*   Excellent verbal and written communication skills, and fully dedicated to delivering a value-add service to business customers and internal stakeholders
*   Demonstrated abilities to ask the right questions and to use sound business judgment when collaborating with a wide-range of stakeholders

**Why Binance**

*   Shape the future with the world’s leading blockchain ecosystem
*   Collaborate with world-class talent in a user-centric global organization with a flat structure
*   Tackle unique, fast-paced projects with autonomy in an innovative environment
*   Thrive in a results-driven workplace with opportunities for career growth and continuous learning
*   Competitive salary and company benefits
*   Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. _By submitting a job application, you confirm that you have read and agree to our_ **_Candidate Privacy Notice_** _._

Intelligence Analyst

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. **What We Do** The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. **About The Role** GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Data Analysis, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically:

*   Triple-check some delivery data and ensure client expectations are reflected in every batch
*   Generate prompts that challenge AI
*   Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers
*   Correct the model's responses based on your domain-specific knowledge
*   Ensure taxonomies are logical, consistent, and aligned with operational needs

**How To Get Started** Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. **Requirements**

*   You have a Bachelor's degree in Statistics, Computer Science, Information Systems, Data Science, Mathematics
*   You have at least 3 years of professional experience in Data Analysis
*   You have experience with prompt engineering (basic to intermediate level) and have Basic-to-Intermediate Python Scripting and SQL understanding
*   You are proficient in spreadsheet tools such as Google Sheets, Excel
*   You have experience with interpreting data visualization & reporting (e.g., dashboards)
*   You have a strong command of taxonomy and classification design
*   Your level of English is advanced (C1) or above
*   You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines
*   Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge

**BenefitsWhy this freelance opportunity might be a great fit for you?**

*   Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments
*   Work on advanced AI projects and gain valuable experience that enhances your portfolio
*   Influence how future AI models understand and communicate in your field of expertise

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