In my company, all the analyst and so called data scientists were allotted i7.
So considering that logic, atleast go with i5 , ssd (512).
Graphic card normal bydeafult will be fine i guess.
Either dell/ hp , dont go after Lenovo.
You may consider acer, or other brands as well as per your budget.
I believe, machine learning part u will do in cloud so this config of laptop should be fine.
And yeah Good luck for your new learnings.
You don't need a power hungry machine until you start deploying the models. As you're on very initial stage, your current purchase will get outdated by the time you'll start interviewing for real "ml/ds" roles. My suggestion will be MacBook Air if you can afford, or any entry level laptop with 16GB / M.2 drive. Invest your saved money over Google colab and stable internet connection.
i5 11th gen , ssd , ram 12gb will work for you
Min 16GB RAM, 512GB/1TB SSD, Integrated graphics (Xe & above)
About CPU, the decision isn't simple (i3 vs i5 vs i7). 12th gen intel chips are way more powerful than 11th gen but there are too many variants (U,P,H). No Xe graphics for U | P & H series chips (two extra performance cores vs U) got more horsepower but this means they're power-hungry too [TDP/PBP : 15W (U) vs 28W (P) vs 45W (H)]. 11th gen i5 should be enough but P-Series is the safe bet. H-series is found in bulky options (Better performance [95W MTP] + cooling & lesser battery life w/ similar battery capacity) but unlike some of the thin/light-weight laptops (U,P) the display panels used on most of these devices are medicore (Even on ~1L options)
So, decide accordingly (Brand preference based on local service quality)