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data scientist python

NatWest Group

<div>
 Join our digital revolution in NatWest Digital X
 
 
 In everything we do, we work to one aim. To make digital experiences which are effortless and secure.
 
 
 So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.
 
 
 Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.
 
 
 This role is based in India and as such all normal working days must be carried out in India.
 
 
 
 Job Description
 
 
 
 Join us as a Data Scientist, Python
 
 
 <ul>
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 You&rsquo;ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
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 We&rsquo;ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank&rsquo;s strategic direction through better use of data
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 This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
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 We're offering this role at associate level
 
 
 
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 </ul>
 What you'll do
 
 
 As a Data Scientist, you&rsquo;ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We&rsquo;ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.
 
 
 You&rsquo;ll also be:
 
 
 <ul>
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 Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
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 Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
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 Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
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 Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
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 Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
 
 
 
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 </ul>
 The skills you'll need
 
 
 You&rsquo;ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You&rsquo;ll have experience with statistical modelling and machine learning techniques.
 
 
 You'll need at least five years of experience in Python, NLP and SQL. You'll also need experience in machine and deep learning and experience in at least one of the algorithms like Logistic Regression or KNN or Random Forest.
 
 
 You&rsquo;ll also demonstrate:
 
 
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 The ability to use data to solve business problems from hypotheses through to resolution
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 Experience using programming language and software engineering fundamentals
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 Experience of Cloud applications and options
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 Experience in synthesising, translating and visualising data and insights for key stakeholders
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 Experience of exploratory data analysis
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 Good communication skills with the ability to proactively engage with a wide range of stakeholders
 
 
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 </ul>
</div>

Data Scientist, Python

Data Scientist / ML Engineer

Meesho

<div>
 
 About The Team
 
 
 
 Our Data Science team is the Avengers to Meesho&rsquo;s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We&rsquo;ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
 
 
 Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
 
 
 As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.
 
 
 But wait &ndash; there&rsquo;s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting &ldquo;Summer of 69&rdquo; at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️
 
 
 
 About The Role
 
 
 
 Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.
 
 
 In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.
 
 
 
 What You Will Do
 
 
 
 <ul>
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 Develop models and run experiments to infer insights from hard data
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 Improve our product usability and identify new growth opportunities
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 Understand reseller preferences to provide them with the most relevant products
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 Designing discount programs to help our resellers sell more
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 Help resellers better recognise end-customer preferences to improve their revenue
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 Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
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 Model seasonal demand to predict key organisational metrics
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 Mentor junior data scientists in the team
 
 
 
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 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in computer science (or similar degrees)
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 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
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 Familiarity with Neural Networks, Machine Learning etc.
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 Familiarity with tools like SQL, R, Python, etc.
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 Strong understanding of Statistics and Linear Algebra
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 Strong understanding of hypothesis/model testing and ability to identify common model testing errors
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 Experience designing and running A/B tests and drawing insights from them
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 Proficiency in machine learning algorithms
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 Excellent analytical skills to fetch data from reliable sources to generate accurate insights
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 Experience in tech and product teams is a plus
 
 
 
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 </ul>
 
 Bonus Points For
 
 
 
 <ul>
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 Experience in working on personalization or other ML problems
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 Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
 </li>
 </ul>
</div>

Data Scientist III

InvestCloud, Inc.

<div>
 About the Team You will be joining the newly formed AI, Data &amp; Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on &ldquo;enhanced intelligence&rdquo;. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team.
 
 
 We are seeking a Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role, working as part of a team both locally in India and globally, you will integrate AI and ML solutions into the InvestCloud product suite.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
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 Implement applications powered by Generative AI and Machine Learning models and deploy them in production
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 Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
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 Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders
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 Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI.
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 Analyze large datasets to identify patterns, trends, and insights that can inform business decisions.
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 Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud&rsquo;s business objectives.
 
 
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 </ul>
 
 Required Skills
 
 
 
 <ul>
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 MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience
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 At least two years of professional experience in Data Science, Machine Learning and AI
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 Outstanding communications skills in English
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 Proficiency in programming in Python
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 Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain)
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 Knowledge of data preprocessing, feature engineering, and model evaluation metrics
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 Experience using large language models, generative AI and agentic frameworks (this may be at work or in personal projects)
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 Experience in database technologies (Oracle, PostgreSQL)
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 Working experience developing and deploying Machine Learning models in production
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 Working experience with Git and Docker
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 Working proficiency in English
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 Ability to work in a fast-paced environment, working across multiple projects simultaneously
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 Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect.
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 Practical, get-things done mentality within our controls environment.
 
 
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 Preferred Skills
 
 
 
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 Working experience with Vector Database Technologies
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 Experience working with Snowflake and/or Databricks
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 Experience with cloud platforms such as AWS, GCP, or Azure
 
 
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 </ul>
 
 What Do We Offer
 
 
 
 Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience.
 
 
 Location and Travel The ideal candidate will be expected to work from the office.
 
 
 Compensation The salary range will be determined based on experience, skills, and geographic location.
 
 
 Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
</div>

Data Scientist

Moniepoint Group

<div>
 Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria&rsquo;s largest merchant acquirer.
 
 
 
 Your Opportunity and Mission
 
 
 
 We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint&rsquo;s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models
 
 
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 Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing
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 Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency
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 Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models
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 Design experiments and interpret the results to draw detailed and actionable conclusions
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 Work in cross-functional teams across disciplines such as product, engineering and business.
 
 
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 </ul>
 
 You Have...
 
 
 
 <ul>
 <li>
 +5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred.
 </li>
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 Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics
 </li>
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 Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation.
 </li>
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 Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling
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 Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3
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 Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure.
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 Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.)
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 Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
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 Excellent spoken and written English
 
 
 </li>
 </ul>
 
 What Moniepoint Can Offer You
 
 
 
 <ul>
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 The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
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 The chance to work on innovative and impactful projects
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 A dynamic, diverse, and collaborative environment where every team member&rsquo;s voice is recognized and valued
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 Flexible work arrangements
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 Continuous learning and career growth opportunities
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 Competitive salary, individual performance bonuses, and firmwide performance bonus
 </li>
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 Company covered health insurance plans
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 Pension plans
 
 
 </li>
 </ul>
 
 What To Expect In The Hiring Process
 
 
 
 <ul>
 <li>
 A preliminary phone call with one of our recruiters
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 A general interview with the Senior Manager of Marketing Strategy
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 A case study-based discussion with SVP of Marketing
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 A behavioural interview with members of the Executive team
 
 
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 </ul>
 Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.
</div>

Growth Data Scientist

AuxoAI

<div>
 AuxoAI is hiring a Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems, including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Own the full ML lifecycle: model design, training, evaluation, deployment.
 </li>
 <li>
 Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection.
 </li>
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 Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines.
 </li>
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 Build agentic workflows for reasoning, planning, and decision-making.
 </li>
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 Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark.
 </li>
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 Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines.
 </li>
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 Collaborate with product and engineering teams to integrate AI models into business applications.
 </li>
 <li>
 Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2+ years of experience in designing, deploying, and scaling ML/DL systems in production.
 </li>
 <li>
 Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
 </li>
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 Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines.
 </li>
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 Familiarity with agent-based development (e. g., ReAct agents, function-calling, orchestration).
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 Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows.
 </li>
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 Strong software engineering background with experience in testing, version control, and APIs.
 </li>
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 Proven ability to balance innovation with scalable deployment.
 </li>
 <li>
 B. S. /M. S. /Ph. D. in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Bonus: Open-source contributions, GenAI research, or applied systems at scale.
 
 
 </li>
 </ul>
 This job was posted by Anupam Arya from AuxoAI.
</div>

Data Scientist - AI / ML

SatSure

<div>
 
 SatSure is looking for a
 
 Lead Data Scientist (Computer Vision)
 
 to drive the next generation of geospatial intelligence models powering critical products across agriculture, finance, infrastructure, utilities, energy, and climate. This is a senior hands-on technical leadership role responsible for solving complex Earth Observation challenges using advanced ML/CV, and leading teams toward state-of-the-art, production-ready solutions.
 
 
 
 
 
 
 
 About Team and Mission :
 
 
 
 
 Our EO Applied Data Science team builds foundational research and applied ML systems that work across
 
 seasonal, geographic, and sensor variations
 
 - from multispectral and SAR to multi-temporal satellite data.
 
 
 We have delivered high-impact Geospatial Data Science solutions across a wide spectrum of EO applications, including Land Use &amp; Land Cover mapping, Crop Classification, Sowing and Harvest Progression, Change Detection, Route Optimization, Satellite Image Time-Series (SITS) classification, Image2Image (I2I) Translation, Cross Modal Fusion etc.
 
 
 We now aim to push beyond the existing SOTA and build
 
 large-scale, real-time systems
 
 that operate with terabytes of satellite data, delivering insights that impact
 
 millions of end users
 
 , especially in developing markets and more ambiguous/complex geographies.
 
 
 
 
 
 
 
 About SatSure:
 
 
 
 
 SatSure is a deep-tech decision intelligence company that leverages Earth Observation (EO) data to solve crucial problems across agriculture, finance, infrastructure, utilities, aviation, energy, and climate, to name a few. Our goal is to create meaningful impact for the &ldquo;other millions,&rdquo; with a focus on the developing world. We aim to make insights from Earth Observation data accessible to all.
 
 
 With a founding team rooted in the Indian Institute of Space Science and Technology (IIST), Indian Space Research Organisation (ISRO), and the Indian Institute of Remote Sensing (IIRS), and a leadership team with diverse industry experience (IBM, Samsung, Intel, USC, IITKGP, IITG, IITM), we value technical innovation and scale. If you are interested in working in an environment focused on societal impact, driven by cutting-edge technology, and offering the freedom to innovate and be creative with no hierarchies, SatSure is the place for you.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 
 As a
 
 Lead Data Scientist - Computer Vision
 
 , you will:
 
 <ul>
 <li>
 Own technical charters and roadmap for multiple ML/CV initiatives.
 </li>
 <li>
 Lead and mentor applied scientists, mapping complex EO problems into actionable, scalable technical solutions.
 </li>
 <li>
 Drive hypothesis generation, experimentation, architecture design, model development, and deployment for production ML pipelines.
 </li>
 <li>
 Own E2E delivery of large-scale ML/CV systems - from problem framing to data design, model development, deployment, and monitoring.
 </li>
 <li>
 Collaborate with Product, MLOps, Platform, and Geospatial experts to convert ambiguous requirements into elegant solutions.
 </li>
 <li>
 Communicate technical findings to leadership, customers, and cross-functional partners with clarity and precision.
 </li>
 <li>
 Assist data science managers in effective project, resource management, and timely deliverables (in an agile manner), via showcasing strong sense of ownership and accountability.
 </li>
 <li>
 Build reliable, efficient models that scale across geographies, seasons, sensors, and business domains.
 </li>
 <li>
 Write clean, scalable production-grade code in Python/PyTorch.
 </li>
 <li>
 Conduct A/B experiments and calibrate ML metrics to business KPIs.
 </li>
 <li>
 Innovate on model architectures (Transformers, diffusion, generative, time-series models, self-supervision, multimodal fusion and temporal modeling) to advance in-house geospatial ML SOTA.
 </li>
 <li>
 Represent your work through patents, technical documents, internal whitepapers, and publications (as applicable).
 </li>
 <li>
 Contribute to hiring and technical excellence, including mentoring junior team members and interns.
 </li>
 </ul>
 
 
 
 
 
 
 Experience
 
 
 
 
 
 
 <ul>
 <li>
 M.Tech/MS (Research)/PhD in CS, EE, EC, Remote Sensing, or related fields preferably from leading academic/industrial labs/institutes/corporates.
 </li>
 <li>
 Exceptional undergraduates with strong research/industry experience will also be considered.
 </li>
 </ul>
 
 
 
 
 
 
 Experience :
 
 
 
 
 
 
 <ul>
 <li>
 
 6+ years
 
 of applied ML/Computer Vision experience (industry preferred).
 </li>
 <li>
 
 2+ years
 
 in a technical leadership role - people and project leadership.
 </li>
 <li>
 Proven experience taking ML models from POC &rarr; production &rarr; monitoring.
 </li>
 </ul>
 
 
 
 
 
 
 Must have Technical Expertise:
 
 
 
 
 
 
 <ul>
 <li>
 To be eligible for this role, we are looking for candidates with the following qualifications:
 </li>
 <li>
 A proven track record of relevant experience in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc.
 </li>
 <li>
 Technically familiar with some, or most of (as evidenced by problem solving skills in novel scenarios): Transformers, UNet, RNNs/LSTMs/GRUs, YOLO/RCNN/Encoder&ndash;Decoder architectures, Generative models (GAN, VAE, Diffusion), Self-supervised &amp; contrastive learning, Representation learning, domain adaptation &amp; generalization, Semi-/Active learning, noisy-label learning, Super-resolution, anomaly detection, clustering, Model compression: distillation, pruning, quantization.
 </li>
 <li>
 PyTorch, Python, SQL, distributed systems (Spark), MLOps for large-scale training, data pipelines, and deployment
 </li>
 </ul>
 
 
 
 
 
 
 Bonus:
 
 
 
 
 
 
 <ul>
 <li>
 SAR (VV/VH), NDVI, FCC, multispectral optical data, Temporal modeling (SITS, forecasting, seasonal dynamics), Cross-modal fusion (SAR+Optical, EO+tabular/ground)
 </li>
 <li>
 First-authored publications in ICLR, NeurIPS, CVPR, ICCV, ECCV, ICML, AAAI, IGARSS, IEEE TGRS, etc.
 </li>
 <li>
 Experience with geospatial datasets, climate models, foundation models, or EO analytics.
 </li>
 </ul>
 
 
 
 
 
 
 Benefits:
 
 
 
 
 
 
 <ul>
 <li>
 Medical Health Cover for you and your family including unlimited online doctor consultations
 </li>
 <li>
 Access to mental health experts for you and your family
 </li>
 <li>
 Dedicated allowances for learning and skill development
 </li>
 <li>
 Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
 </li>
 <li>
 Twice a year appraisal
 </li>
 </ul>
 
 
 
 
 
 
 Interview Process:
 
 
 
 
 
 
 <ul>
 <li>
 Intro call
 </li>
 <li>
 Assessment
 </li>
 <li>
 Presentation
 </li>
 <li>
 Interview rounds (ideally up to 3-4 rounds)
 </li>
 <li>
 Culture Round / HR round
 </li>
 </ul>
 
 
 
 
 Link to SatSure blogs
 
</div>

Data Scientist - 3

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