Datatech

Capacity Planning Data Scientist Location: Middlesex (3 days onsite, 2 days from home) Salary: Negotiable depending on experience Job Ref: J13078 A market leading global logistics organisation is seeking a highly motivated Airline Capacity Planning Data Scientist who wants to apply their work in a real, high impact environment. Your work will directly influence how capacity is planned, optimised, and delivered within a complex, high volume operational setting. This role sits at the intersection of data science and operations research, with a strong focus on simulation, modelling, and real world system optimisation. You will work with large scale datasets to build machine learning models and develop advanced simulation tools that support critical planning decisions. The role: Design and build machine learning models to forecast demand, utilisation and system performance Work with large scale, time series datasets to engineer features and improve model accuracy Apply robust validation, tuning and model selection techniques to deliver reliable outputs Build and calibrate discrete event simulation (DES) models of complex operational systems to stress test capacity under different demand scenarios Carry out scenario analysis and what if modelling to support planning and investment decisions Translate complex analytical outputs into clear, actionable insights for operational stakeholders Develop tools and dashboards to monitor system performance and support decision making Work closely with operational teams to ensure models reflect real world constraints and behaviours Experience required: Master's degree (or equivalent) in Data Science, Statistics, Operations Research, Computer Science, Mathematics, or a closely related quantitative discipline Strong experience in a Data Scientist or Operational Research focused role working with large, complex datasets Solid understanding of machine learning techniques such as gradient boosting, random forests and time series modelling Experience building and deploying models used in real world decision making (e.g. ensemble methods, regularised regression) Advanced proficiency in R, including tidyverse, data.table, caret or tidymodels, xgboost and Shiny Strong SQL skills with experience querying large scale relational databases such as Azure SQL or PostgreSQL Experience working with high volume or time based data, including feature engineering Experience with simulation, discrete event simulation, or operations research techniques is highly desirable Ability to communicate complex analysis clearly to non-technical stakeholders Comfortable working in fast paced, operational environments Proactive, hands on approach with the ability to take ownership of problems end to end If you want to work on complex systems where your output is actually used and matters, this is a genuinely strong opportunity to do that. Please note we can only accept applications from those with current and full UK working rights for this role, as sponsorship is not available. If this sounds like the role for you then please apply today. Alternatively, you can refer a friend or colleague through our referral scheme. For each successful placement, you will be eligible for our reward scheme with no limit on referrals. Datatech is one of the UK's leading recruitment agencies in analytics and the host of the Women in Data event. For more information, visit (url removed)

Trading Operations Assistant - 2025 Graduates (Maths / Statistics / Economics) Minimum 2:1 Degree Location: City of London, on site 5 days a week, Willingness to work flexible hours, including regular weekend shifts (approximately 50% of working time) Salary: Up to 33,000 (dependent on skills and experience) Reference: J13051 Please note: This is a trading operations role (not financial trading). The position operates on a shift pattern, including early mornings, late evenings, and approximately 50% weekend work. Please apply only if you are fully comfortable with this schedule. You must be eligible to work in the UK, the client cannot consider any visas. A long-standing and highly regarded client of ours is seeking high-calibre 2025 graduate to join their Trading Operations team. Operating within the global sports trading sector, this is an excellent opportunity for numerate graduates to work with large, complex datasets in a fast-paced, intellectually stimulating environment alongside highly skilled professionals. This role is ideal for driven, detail-oriented graduates looking to develop strong analytical, operational, and technical skills within a dynamic organisation offering excellent training and career progression. The Role As part of the Operations team, you will be responsible for monitoring and supporting global trading activity via proprietary trading platforms operating 24/7. You will play a key role in ensuring accuracy, identifying anomalies, and supporting the smooth functioning of the trading lifecycle. Confidence to challenge errors, attention to detail, and a desire to learn are essential. Key Responsibilities Monitoring and operating trading platforms on a 24/7 basis Identifying inconsistencies, errors, and unusual activity Developing insights into customer, counterparty, and market behaviour Liaising with traders, counterparties, and trading venues as required Troubleshooting issues throughout the trade lifecycle Working closely with developers and traders to enhance platform functionality Skills & Experience Required BSc degree (2:1 or above), ideally in Mathematics, Statistics, Economics. Strong numeracy skills, including an understanding of probabilities High attention to detail and a meticulous approach to work Proficiency in Microsoft Office, particularly Excel Ability to quickly learn and adapt to new systems and applications Comfortable working across multiple time zones and currencies Confident making informed operational decisions Strong organisational skills with a structured working style Excellent interpersonal skills with a mature, professional attitude SQL knowledge is advantageous but can be learned on the job

Customer Success Lead (AI and ML) London: London Hybrid 3 days in the office (Monday, Tuesday, Wednesday) Salary: 85,000 - 95,000 dependent on experience Ref: J13068 A fast growing data platform company is looking to appoint a Customer Success Lead to manage senior client relationships and support the continued development of customer success as the business scales. The platform helps organisations unlock the value of their first party data, turning complex datasets into actionable intelligence that drives growth, better decision making and competitive advantage. The Role This is a highly visible position responsible for managing senior client engagements while ensuring customers successfully adopt and realise value from the platform. You will operate at the intersection of clients, product and delivery, helping ensure implementations run smoothly and customer outcomes are consistently delivered. The role also requires someone who can bring structure to a growing environment, contributing to the development of frameworks, playbooks and processes that enable customer success to scale alongside the platform. Key Responsibilities Manage senior client relationships, engaging stakeholders through to C suite Develop and execute customer success plans aligned to client objectives Identify and mitigate risks across key accounts Contribute to building scalable customer success frameworks and operational processes Manage multiple client engagements and priorities simultaneously Work closely with product and engineering teams to ensure client feedback informs platform development The Person You will bring experience managing enterprise clients within a technology, SaaS or data platform environment, with the ability to balance strong relationship management with operational execution. This is an opportunity to play a key role in supporting how customer success evolves within a high growth technology business. Apply to find out more about the role. If you have a friend or colleague who may be interested, referrals are welcome. For each successful placement, you will be eligible for our general gift or voucher scheme. Datatech is one of the UK's leading recruitment agencies specialising in analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed)

Senior Analyst - ECM Hybrid London Office 60 - 70 K Depending on Experience + Bonus + Benefits About the Company We're talking about a forward-thinking consumer finance business, delivering products that genuinely put customers in control. Innovative. Ethical. Customer first. No jargon. No unnecessary complexity. Just fair, transparent lending and smart, data led decision making. If you like the sound of shaping strategies that make a real difference. Read On. The Role We're looking for a commercially minded Senior Analyst to join a collaborative analytics team, working at the heart of customer engagement and portfolio performance. The opportunity sits within an Existing Customer Management' analytics environment. This is a hands-on, data-driven role where you'll shape strategies that deepen customer relationships, improve profitability, and reduce losses, all while keeping customer outcomes front and centre. Expectations Lead on credit, pricing, and marketing strategies that drive engagement and reduce losses. Work daily with SQL, Python/R, Tableau, and Alteryx to turn raw data into actionable insight. Take a test and learn' approach, challenging the status quo to find better outcomes. Translate portfolio trends into strategies that shape customer journeys. Collaborate with stakeholders across product, finance, and operations to deliver measurable impact. About You You're not just about the numbers, you know how to use them to tell a story and influence change. You're confident in keeping communication sharp and to the point, while still being respectful, helping save time and keep things running smoothly for everyone You thrive in fast-paced environments, balance detail with big picture thinking, and love seeing your work deliver tangible results What You'll Bring Degree in Economics, Mathematics, Statistics, Computer Science, Business, or similar. 3+ years in analytics, with lending or risk experience,credit card background is a big plus. Strong SQL skills, plus confidence with Python/R, Tableau, or Alteryx. Credit Card industry experience A proactive mindset and the ability to juggle priorities without dropping the ball. Bonus Points For MySQL, AWS, or other big-data platform experience. Proven track record in consumer finance strategy. Experience linking analytics to commercial decisions. What's on Offer Competitive salary, annual bonus, and regular pay reviews. Hybrid working with London office presence. Great benefits package: pension, private medical, life cover, enhanced leave, and more. This is your chance to join a growing, purpose driven business, and to see your work make a direct impact on customers. APPLY NOW